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At least 487 records · Page 27Linked to original sources

PubMed2026

Performance of AI-Based Screening Tools for Obstructive Sleep Apnea Across Apnea-Hypopnea Index Thresholds: Systematic Review and Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is highly prevalent but remains substantially underdiagnosed. Polysomnography (PSG) is the reference standard, but its cost and limited availability constrain large-scale case identification. AI-based screening tools may support risk stratification and referral prioritization, but their diagnostic accuracy across apnea-hypopnea index (AHI) thresholds remains uncertain. OBJECTIVE: This review aimed to systematically evaluate the diagnostic accuracy of AI-based OSA screening tools at AHI thresholds of ≥5, ≥15, and ≥30 events/hour, with emphasis on models using non-PSG-derived inputs. METHODS: PubMed, Embase, Scopus, and Web of Science were searched for studies published from January 1, 2016, to May 3, 2026. Eligible studies included adults evaluated for suspected OSA or recruited from population-based cohorts, assessed AI-based models intended or interpretable for OSA screening, risk prediction, or screening-oriented severity classification, used PSG as the reference standard, and reported sufficient data to construct or reconstruct 2×2 contingency tables. Diagnostic accuracy was synthesized separately by AHI threshold and input source using bivariate random-effects models, with 95% CIs and prediction intervals (PIs). Risk of bias and certainty of evidence were assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) and GRADE (Grading of Recommendations Assessment, Development, and Evaluation), respectively. RESULTS: A total of 60 studies were included, of which 47 contributed data to the meta-analysis. At AHI thresholds of ≥5, ≥15, and ≥30 events/hour, pooled sensitivities were 0.94 (95% CI 0.92-0.96; 95% PI 0.71-0.99), 0.87 (95% CI 0.84-0.89; 95% PI 0.66-0.96), and 0.83 (95% CI 0.79-0.87; 95% PI 0.61-0.94), respectively; the corresponding specificities were 0.77 (95% CI 0.69-0.84; 95% PI 0.30-0.96), 0.81 (95% CI 0.75-0.85; 95% PI 0.39-0.96), and 0.91 (95% CI 0.87-0.94; 95% PI 0.55-0.99), respectively. The corresponding areas under the summary receiver operating characteristic curves were 0.943, 0.907, and 0.920. For non-PSG-derived tools, sensitivities were 0.92, 0.85, and 0.81, and specificities were 0.70, 0.74, and 0.85 at the 3 thresholds, respectively. For PSG-derived models, sensitivities were 0.96, 0.90, and 0.85, and specificities were 0.82, 0.88, and 0.96, respectively. Exploratory subgroup analyses suggested performance variation across selected study and model characteristics, including region, algorithmic framework, data source, and validation method. CONCLUSIONS: AI-based tools showed generally favorable screening performance for OSA across clinically relevant AHI thresholds, although wide PIs suggest variable performance across future comparable populations and settings. By synthesizing diagnostic accuracy across 3 AHI thresholds and distinguishing non-PSG-derived from PSG-derived models, this review extends previous broad or modality-specific reviews and offers a clinically interpretable, pathway-specific basis for linking model performance to intended use. The findings may clarify potential roles for non-PSG-derived tools in front-end screening and referral prioritization and for PSG-derived models in reduced-channel assessment and sleep-laboratory workflow support. Given substantial heterogeneity, limited external validation, and low or very low certainty of evidence, prospective validation is needed before routine implementation.

Humans↗

PubMed2003

Workflow management of HIS/RIS textual documents with PACS image studies for neuroradiology.

Reviewing brain tumor patients' complete medical record is a daunting task for any clinician. In current practice, the radiologist examines the most recent documents and then dictates an assessment of the patient's condition based on a review of the most current imaging study and compared with the most recent previous image study. Occasionally, the radiologist searches other clinical documents when more precise detail is needed. The purpose of this research is to develop effective methods to review all of the pertinent information in a patient medical record incorporating HIS (Hospital Information Systems), RIS (Radiology Information Systems) and PACS (Picture Archiving and Communications Systems) information in three distinct ways: filtering the document worklist for pertinent clinical data, identification of key clusters of clinical information, and an automatic hanging protocol that displays the MR images for optimal image comparison.

Algorithms↗

PubMed2004

[Quality management and strategic consequences of assessing documentation and coding under the German Diagnostic Related Groups system].

INTRODUCTION: The introduction of the German Diagnostic Related Groups (D-DRG) system requires redesigning administrative patient management strategies. Wrong coding leads to inaccurate grouping and endangers the reimbursement of treatment costs. This situation emphasizes the roles of documentation and coding as factors of economical success. PURPOSE: The aims of this study were to assess the quantity and quality of initial documentation and coding (ICD-10 and OPS-301) and find operative strategies to improve efficiency and strategic means to ensure optimal documentation and coding quality. METHODS: In a prospective study, documentation and coding quality were evaluated in a standardized way by weekly assessment. RESULTS: Clinical data from 1385 inpatients were processed for initial correctness and quality of documentation and coding. Principal diagnoses were found to be accurate in 82.7% of cases, inexact in 7.1%, and wrong in 10.1%. Effects on financial returns occurred in 16%. Based on these findings, an optimized, interdisciplinary, and multiprofessional workflow on medical documentation, coding, and data control was developed. CONCLUSIONS: Workflow incorporating regular assessment of documentation and coding quality is required by the DRG system to ensure efficient accounting of hospital services. Interdisciplinary and multiprofessional cooperation is recognized to be an important factor in establishing an efficient workflow in medical documentation and coding.

Diagnosis-Related Groups↗

PubMed2026

In silico identification of DNMT1 inhibitors from the PlantCyc database through computational approach to assess the anti-cancer potential of nutraceutical compounds in breast cancer.

Breast cancer accounts for a disproportionate share of global cancer-related deaths, with 670,000 fatalities and 2.3 million new diagnoses recorded in women during 2022 alone. Existing treatment modalities carry considerable toxicity burdens, and resistance to available agents remains an unresolved clinical problem. DNA methyltransferase 1 (DNMT1), the enzyme chiefly responsible for maintaining genome-wide methylation patterns during DNA replication, has been mapped out as a high-value target in breast cancer because its dysregulation silences tumour suppressor genes through promoter hypermethylation. The present work involves hierarchical in silico workflow to screen 4549 plant-derived compounds from the PlantCyc database (v16.0.3) against the human DNMT1 catalytic domain (PDB ID: 4WXX). Ten top-scoring compounds were taken forward for molecular docking via AutoDock Vina; Quercetin and Kaempferol both recorded the highest binding affinities at -9.5 kcal/mol, Wogonin (-9.3 kcal/mol) and Xanthohumol (-8.1 kcal/mol) also emerged as strong binders. Pharmacokinetic evaluation using ADMET-AI confirmed that all 10 compounds met Lipinski's rule of five, with human intestinal absorption values at or above 0.98. Wogonin and Xanthohumol were selected for a 100 ns all-atom molecular dynamics (MD) simulation in GROMACS due to their well-rounded ADMET profiles and limited existing data on their specific interactions with DNMT1 in breast cancer. Across all measured trajectory metrics, backbone RMSD, residue fluctuation, radius of gyration, solvent-accessible surface area, and intermolecular hydrogen bond count, Wogonin formed a more stable, compact complex. These findings suggest that Wogonin and Xanthohumol are non-toxic nutraceutical candidates suitable for DNMT1 targeted epigenetic therapy, with computational foundation strong enough to facilitate future in vitro and in vivo validation work.

Humans↗

PubMedDate not supplied

Gene therapy for the extension of vein graft patency: a review.

The mainstay of treatment for long-segment small-vessel chronic occlusive disease not amenable to endovascular intervention remains surgical bypass grafting using autologous vein. The procedure is largely successful and the immediate operative results almost always favorable. However, the lifespan of a given vein graft is highly variable, and less than 50% will remain primarily patent after 5 years. The slow process of graft malfunction is a result of the vein's chronic maladaptive response to the systemic arterial environment, its primary component being the uncontrolled proliferation of vascular smooth muscle cells (SMCs). It has recently been suggested that this response might be attenuated through pre-implantation genetic modification of the vein, so-called gene therapy for the extension of vein graft patency. Gene therapy seems particularly well suited for the prevention or postponement of vein graft failure since: (1) the stimulation of SMC proliferation appears to largely be an early and transient process, matching the kinetics of current gene transfer technology; (2) most veins are relatively normal and free of disease at the time of bypass allowing for effective gene transfer using a variety of systems; and (3) the target tissue is directly accessible during operation because manipulation and irrigation of the vein is part of the normal workflow of the surgical procedure. This review briefly summarizes the current knowledge of the incidence and basic mechanisms of vein graft failure, the vector systems and molecular targets that have been proposed as possible pre-treatments, the results of experimental genetic modification of vein grafts, and the few available clinical studies of gene therapy for vascular proliferative disorders.

Arterial Occlusive Diseases↗

PubMed2025

Proteomic-based biomarker discovery reveals panels of diagnostic biomarkers for early identification of heart failure subtypes.

BACKGROUND: Limited access to echocardiography can delay the diagnosis of suspected heart failure (HF), which in turn postpones the initiation of optimal guideline-directed medical therapy. Although natriuretic peptides like B-type natriuretic peptide (BNP) are valuable biomarkers for diagnosing and managing HF, the utility of combining BNP with other blood-based biomarkers to predict subtypes of new-onset HF remains underexplored. OBJECTIVES: This study sought to investigate and evaluate the diagnostic significance of adding blood-based biomarkers to BNP for identifying heart failure with preserved ejection fraction (HFpEF) or reduced ejection fraction (HFrEF), with the goal of enhancing diagnostic assays beyond BNP measurements. METHODS: We identified candidate blood protein biomarkers using untargeted proteomics workflows from a cohort of individuals recruited to the STOP-HF trial who were at risk of HF and subsequently developed either HFpEF or HFrEF over time ("HF progressors"; n = 40). Candidate biomarkers were verified in an independent cohort (n = 52) from a community-based rapid access HF diagnostic clinic. The biological processes associated with these proteins were assessed, and the diagnostic values of biomarker panels were evaluated using a machine learning approach. RESULTS: Within HF progressors, we identified 3 proteins associated with HFpEF development: vascular cell adhesion protein 1 (VCAM1), insulin-like growth factor 2 (IGF2), and inter-alpha-trypsin inhibitor heavy chain 3 (ITIH3). Additionally, 4 proteins were linked to HFrEF development: C-reactive protein (CRP), interleukin-6 receptor subunit beta (IL6RB), phosphatidylinositol-glycan-specific phospholipase D (PHLD), and noelin (NOE1). These findings were verified in an independent cohort to distinguish HF subtypes from controls. Moreover, a random forest algorithm demonstrated that combining these candidate biomarkers with BNP measurement significantly improved the prediction of HF subtypes. CONCLUSIONS: We identified candidate proteins linked to HFpEF and HFrEF in a longitudinal HF progressor cohort and validated them in a community-based cohort. Adding these proteins to BNP led to a significant improvement in HF subtype prediction. Study results have clinical implications for blood-based screening of HF subtypes using panels of biomarkers, particularly in resource-limited settings.

Humans↗

PubMed2003

Patient perceptions of physician use of handheld computers.

BACKGROUND: Handheld computers have advantages for healthcare providers including portability and integration into office workflow. However, negative patient perceptions of physician use of handheld computers in the examining room might limit integration. OBJECTIVE: To survey patients' perceptions of handheld use, and compare those with their providers' perceptions. METHODS: A survey of patient attitudes toward handhelds was conducted among patients at a low-income university clinic. Internal Medicine residents providing care were also surveyed. RESULTS: Patients (N=93) were mostly female (79%) and ethnic minorities (67%) with average age of 39. Only 10% of patients did not like the idea of a handheld computer in the exam room. Other negative attitudes were also seen in a minority of patients. Some physicians (23%) reported reservations about using the handheld computer with patients. CONCLUSIONS: Negative attitudes were rare among patients, but some providers were concerned about using the handheld in the exam room.

Adult↗

PubMedDate not supplied

Preparing a business justification for going electronic.

Exponential advances in the technology sector and computer industry have benefited the science and practice of radiology. Modalities such as digital radiography, computed radiography, computed tomography, magnetic resonance imaging, ultrasound, digital angiography, and gamma cameras are all capable of producing DICOM compliant images. Text can likewise be acquired using voice recognition technology (VRT) and efficiently rendered into a digital format. All of these digital data sets can subsequently be transferred over a network between machines for display and further manipulation on workstations. Large capacity archiving units are required to store these voluminous data sets. The enterprise components of radiology departments and imaging centers--radiology information systems (RIS) and picture archiving and communications systems (PACS)--have thus undergone a transition from hardcopy to softcopy. When preparing to make transition to a digital environment, the first step is introspective. A detailed SWOT (strengths, weaknesses, opportunities and threats) analysis, with a focus on the status of "electronic preparedness," ensues. The next step in the strategic planning process is to formulate responses to the following questions: Will this technology acquisition provide sufficient value to my organization to justify the expense? Is there a true need for the new technology? What issues or problems does this technology address? What customer needs will this technology satisfy today and tomorrow? How will the organization's shareholders benefit from this technology? The answers to these questions and the questions that they in turn generate will stimulate the strategic planning process to define demands, investigate technology and investment options, identify resources and set goals. The mission of your radiology center will determine what you will demand from the electronic environment. All radiology practices must address the demand of clinical service. Additional demands based on your mission may include education and research. The investigation of options is probably the most time consuming portion of the analysis. It is in this stage where the system architecture is drafted. Important contributions must be solicited from your information technology division, radiologists and other physicians, hospital administration and any other service where the use of imaging technology information is required and beneficial. Vendors and consultants can be extremely valuable in generating workflow diagrams, which include imaging acquisition components and imaging display components. A request for proposal (RFP) may facilitate this step. A detailed inventory of imaging equipment, imaging equipment locations and use, imaging equipment DICOM compatibility, imaging equipment upgrade requirements, reading locations and user locations must be obtained and confirmed. It is a good idea to take a careful inventory of your resources during the process of investigating system architecture and financial options. An often-ignored issue is the human resource allocation that is required to implement, maintain and upgrade the system. These costs must be estimated and included in the financial analysis. Further, to predict the finances of your operation in the future, a solid understanding of your center's historical financial data is required. This will enable you to make legitimate and reasonable financial calculations using incremental volumes. The radiology center must formulate and articulate discrete clinical and business goals for the transition to a digital environment that are consistent with the institutional or enterprise mission. Once goals are set, it is possible to generate a strategic plan. It is necessary to establish individual accountability for all aspects of the planning and implementation process. A realistic timetable should be implemented. Keep in mind that this is a dynamic process; technology is rapidly changing, as are clinical service demands and regulatory initiatives. It is therefore prudent to monitor the process, make appropriate revisions when necessary and address contingencies as they arise.

Capital Expenditures↗

PubMed2003

The National Emergency Medical Extranet project.

The National Emergency Medical Extranet (NEME) project was a collaborative multi-center effort to create a plan for a networked system to improve emergency clinical care through real-time information support, and simultaneously provide benefit through information support for public health initiatives. This article presents a review of the NEME project and its recommendations, which are particularly relevant given the desire for improved communication and surveillance systems in today's healthcare and public health environments. Participants in the NEME project performed an environmental assessment and a proposed conceptual architecture for NEME. A consensus conference was held to review the NEME concept to obtain feedback and delineate priorities for future development and testing. The NEME consensus conference used a modified version of the nominal group method. Recommendations for the following areas were established: Business/Organizational Issues [1) create a compelling provider driven NEME model, 2) provide a comprehensive policy framework, 3) address economics]; Clinical/Caregiver Issues [1) develop a NEME system that is integrated with Emergency Medicine workflow, 2) provide incentives to caregivers, 3) generate a critical mass of participation for maximum benefit]; Technical Issues [1) incorporate a robust security and confidentiality architecture, 2) utilize a master person index, where appropriate, 3) evaluate or adopt existing data standards]; Heart Attack Alert Functional Priorities for NEME [1) continuous quality improvement and research, 2) regional electrocardiogram server, 3) past medical history and medication server]; Next Generation Internet Functional Priorities for NEME [1) real time epidemiology/surveillance, 2) patient education, 3) real time clinical alerting]. In conclusion, issues and consensus recommendations in the planning of a NEME are documented. These recommendations should be considered in future efforts to design, develop and implement wide area information networks to support Emergency Medicine. A review of current activities evolving from NEME is presented, and further research and development is encouraged to create and implement NEME systems.

Computer Communication Networks↗

PubMed2026

AI'm Here to Help: Enhancing Laboratory Genetic Counseling with Artificial Intelligence.

BACKGROUND: Artificial intelligence (AI) is transforming the fields of genetics and genetic counseling, enhancing both clinical and laboratory practices. The rise of AI technologies has drawn attention to their potential impact on genetic counseling, particularly in patient diagnosis and the counseling processes. CONTENT: In the laboratory, AI plays a critical role in improving communication between laboratory genetic counselors and healthcare providers by automating routine tasks and optimizing workflows. These advancements allow genetic counselors to dedicate more time to addressing complex inquiries, improving genetic test selection, and helping providers interpret genetic test results. As AI continues to integrate into laboratory genetic counseling practice, it presents both opportunities and challenges. At the time of submission, there is a large knowledge gap regarding AI and its application to laboratory genetic counseling, given the lack of published information on this topic. SUMMARY: This article summarizes existing literature, the history and current applications of AI in laboratory genetic counseling, examines its benefits and limitations, and explores future directions for its implementation in the field.

Humans↗

PubMed2025

An orthogonal T7 replisome for continuous hypermutation and accelerated evolution in E. coli.

Systems that perform continuous hypermutation of designated genes without compromising the integrity of the host genome can substantially accelerate the evolution of new or enhanced protein functions. We describe an orthogonal DNA replication system in Escherichia coli based on the controlled expression of the replisome of bacteriophage T7 (T7-ORACLE). The system replicates circular plasmids that enable high transformation efficiencies and seamless integration into standard molecular biology workflows. Engineering of T7 DNA polymerase yielded variant proteins with mutation rates of 1.7 × 10-5 substitutions per base in vivo-100,000-fold above the genomic mutation rate. We demonstrated continuous evolution using the T7 replisome by expanding the substrate scope of TEM-1 β-lactamase and increasing activity 5000-fold against clinically relevant monobactam and cephalosporin antibiotics in less than 1 week.

Bacteriophage T7↗

PubMed2024

An Orthogonal T7 Replisome for Continuous Hypermutation and Accelerated Evolution in E. coli.

Systems that perform continuous hypermutation of designated genes without compromising the integrity of the host genome can dramatically accelerate the evolution of new or enhanced protein functions. We describe an orthogonal DNA replication system in E. coli based on the controlled expression of the replisome of bacteriophage T7. The system replicates circular plasmids that enable high transformation efficiencies and seamless integration into standard molecular biology workflows. Engineering of T7 DNA polymerase yielded variant proteins with mutation rates of 1.7 × 10 -5 substitutions per base in vivo - 100,000-fold above the genomic mutation rate. Continuous evolution using the mutagenic T7 replisome was demonstrated by expanding the substrate scope of TEM-1 β-lactamase and increase activity 1,000-fold against clinically relevant monobactam and cephalosporin antibiotics in less than one week.

Journal Article↗

PubMed2003

Guidelines for teleradiology practice: results of the Tyrolean teleradiology pilot project.

The Tyrolean telemedicine pilot project linked the University Clinic of Innsbruck and the district hospital in Reutte. Five medical specialties were investigated: teleradiology, telepathology, teledermatology, tele-ophthalmology and tele-oncology. A Tyrolean 'four-column model of quality management in telemedicine' was introduced to ensure a global view of the project and to avoid mistakes. In teleradiology, a 12-step workflow was developed, which described the medical responsibilities at each stage. We found that the defined teleradiology workflow and the technical equipment for data security and data exchange worked without problems in over 79% of a total of 424 cases. To ensure continuous quality assurance, the whole teleradiology workflow was ISO 9001:2000 certified.

Austria↗

PubMed2005

A prototype user interface for a mobile electronic clinical note entry system.

Recent advances in mobile computing technologies have made electronic medical records(EMRs) on handheld devices an attractive possibility.However, data entry paradigms popular on desktop machines do not translate well to mobile devices 1,2. Based on a review of the literature on mobile device usability 1-4,we built a prototype user interface for mobile EMRs and held focus groups with clinician users whose feedback provided useful insight about design choices,functionality and optimal workflow integration.

Computers, Handheld↗

PubMed2026

Evaluation of one-step amplicon-based targeted enrichment for SARS-CoV-2 whole-genome sequencing using the Midnight amplicon scheme.

Genomic surveillance proved invaluable during the COVID-19 pandemic for tracking SARS-CoV-2 variants and guiding outbreak responses, underscoring the ongoing need to reduce whole-genome sequencing (WGS) costs and improve workflow efficiency to ensure accessibility in resource limited settings. Here, we evaluated a one-step reverse transcription polymerase chain reaction (RT-PCR) approach using the Midnight V2 primer scheme for targeted amplification of the SARS-CoV-2 genome, assessed its compatibility with Illumina sequencing, and compared its performance to a well-established two-step method. Initially, we determined optimal RT-PCR reaction conditions using the Midnight V2 primer panel for the one-step RT-PCR kit and scaled reaction volumes for both RT-PCR and library preparation. Clinical specimens (n = 53) that had undergone routine WGS for surveillance purposes using the established two-step RT-PCR method were compared using the one-step RT-PCR assay. For samples with genome completeness greater than 70%, both methods gave comparable results with similar sequence coverage and 100% concordance for lineage assignment. Further investigation revealed a higher percentage of reads aligning to the SARS-CoV-2 genome with a greater depth of coverage using the one-step method compared to the two-step method. Finally, analysis of scaled one-step and library reaction volumes revealed significant cost savings for samples undergoing WGS. Overall, the results presented here verify the accuracy and reproducibility of one-step targeted amplification and offer an efficient and cost-effective workflow for routine SARS-CoV-2 genomic surveillance.

Humans↗

PubMed2006

Integrating monitoring into the infrastructure and workflow of routine practice: OptiVol.

New cardiac resynchronization devices that monitor intrathoracic impedance may be utilized to monitor intravascular fluid status in chronic heart failure patients. Incorporating these devices into a heart failure medical practice requires the integration of heart failure medical services and electrophysiology. These devices must be interrogated and the data analyzed if the diagnostic information is to be useful in the care of heart failure patients. Device generated time aligned trends should be interpreted in the context of clinical findings. Systems must be well designed to deal with the results of solicited and unsolicited data.

Cardiography, Impedance↗

PubMed2006

Early experiences with E-prescribing.

Most physicians understand that e-prescribing will reduce medical errors and will be perceived by patients as making the prescription process easier. However, they are skeptical about a number of things. They worry whether their office processes will be improved or streamlined; e-prescribing will interface seamlessly with their existing practice management software; training and support will be available; e-prescribing data will be seamlessly transferable to an electronic health record when they implement a more advanced clinical record system for their practice; and if they will achieve a return on investment. Early adopting clinicians in Massachusetts can convince the majority of clinicians to adopt e-prescribing by sharing their motivations for adopting e-prescribing, the challenges that they needed to overcome, the hardware and software requirements, and integration into their office workflow. Finally, interaction with the physicians and practice managers in the audience makes the adoption of e-prescribing seem both reasonable and exciting. Resources such as vendor lists, questions to ask, and hardware and software requirements also need to be readily available and in a form that non-technical staff can read and understand. Physicians who know the "why" would also like to know

Diffusion of Innovation↗

PubMed2006

Integrating device monitoring into the infrastructure and workflow of routine practice.

Monitoring strategies for patients with heart failure vary. Physical assessment and patient reporting are often unreliable and inconsistent. Continuous physiologic information from implanted devices identifies the progression to congestion in patients with chronic heart failure earlier in the process than traditional methods. Common themes of a successful system will require a means to provide device-based data to interested providers who then can interpret the information in the context of either remote or face-to-face clinical assessment.

Decision Support Systems, Clinical↗