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PubMed2026

CAUSAL artificial intelligence and data-driven decision intelligence in personalized medicine: a review of healthcare informatics systems.

This review examines the integration of causal artificial intelligence (AI) and data-driven decision intelligence within healthcare informatics systems to advance personalized medicine and clinical decision-making. A narrative review methodology was employed, synthesizing interdisciplinary literature from major databases, including PubMed, Scopus, Web of Science, IEEE Xplore, and ScienceDirect. Studies focusing on causal inference, decision intelligence, and healthcare informatics applications in personalized medicine were included. Data were extracted on methodological approaches, healthcare settings, analytical techniques, and clinical applications, followed by thematic synthesis. Findings indicate that causal AI enhances clinical decision support by enabling estimation of treatment effects and simulation of intervention outcomes at the individual patient level. Integration of multimodal health data such as electronic health records, genomic data, and real-time monitoring improves prediction accuracy and supports tailored treatment strategies. Additionally, causal models improve interpretability, fostering clinician trust and facilitating transparent decision-making. Robust healthcare informatics infrastructures, including interoperable systems and data warehouses, were identified as critical enablers of causal analytics. Overall, causal AI represents a transformative advancement in healthcare analytics, supporting more informed, individualized, and evidence-based clinical decisions. Its integration within healthcare informatics systems has significant potential to improve patient outcomes and guide the future of intelligent, personalized healthcare delivery.

Precision Medicine↗
PubMed1987

Visual memory and motor programmes: their use by idiot-savant artists and controls.

Artistically gifted children of normal intelligence and idiot-savant artists as well as two groups of IQ-matched controls were tested for their perception of and recognition memory for shapes. They were also tested for their capacity to graphically reproduce the shapes on sight (copying) or from memory. The material consisted of designs of two levels of complexity and structure. Results showed that while IQ was the determining factor in matching and recognition performance, copying and reproduction ability depended on artistic ability and was independent of level of intelligence. These results are interpreted in terms of access to an intelligence-independent system of graphic representations which can evoke appropriate motor programmes.

Adolescent↗
PubMed2026

Agentic AI for Spatial Omics.

This highlight summarises recent advances in agentic artificial intelligence (AI) systems for spatial omics analysis. These systems are compared along two central tensions: autonomy versus accountability, and adaptability versus reproducibility. We argue that progress will depend not on maximising automation, but on defining where autonomy is appropriate.

Artificial Intelligence↗
PubMed1976

Origins of anthropoid intelligence. III. Role of prefrontal system in delayed-alternation and spatial-reversal learning in a prosimian (Galago senegalensis).

A species of prosimian (bush baby, Galago senegalensis) was tested on delayed-alternation and spatial-reversal learning before and after ablation of prefrontal cortex. The results show that normal performance on the two behavioral tasks depend on different subdivisions of the MD-prefrontal system. Delayed alternation is disrupted by prefrontal lesions which cause degeneration in the lateral division of MD while spatial-reversal learning is disrupted by lesions causing degeneration of the medial division of MD. Therefore, the bush baby prefrontal system can be subdivided either on behavioral or anatomical grounds into at least two chief parts. Because of several similarities in the MD-prefrontal system of bush baby and monkey despite their remote common ancestry, it can be concluded that the differentiation of the MD-prefrontal system into distinct divisions and the involvement of this system in delayed alternation and spatial reversal are features probably as old as the order Primates itself. It can be further concluded that the further evolution of the anthropoid variety of prefrontal system beyond this common primate stage probably depended on selective pressure on abilities other than those measured here.

Animals↗
PubMed1987

Multimicrophone adaptive beamforming for interference reduction in hearing aids.

To reduce interference in monaural hearing aids from sound sources that are spatially separated from a target source, we are investigating methods for combining information from multiple microphones. In this paper, we describe an adaptive beamforming method that functions to preserve target signals arriving from straight-ahead of a microphone array while minimizing output power from off-axis interference sources. In a preliminary evaluation of a two-microphone system, sentence intelligibility tests were administered to normal-hearing subjects using processed and unprocessed materials from simulated environments in which the target was on-axis, the interference (speech babble) was 45 degrees off-axis, and the reverberation mimicked that of a living room, a conference room, and anechoic space. Compared to listening through a single microphone, the two-microphone beamformer reduced the target-to-interference ratio required to achieve 50 percent keyword intelligibility by 30, 14, and 0 dB in the anechoic, living-room, and conference-room conditions, respectively. The corresponding improvements over binaural listening (one microphone to each ear) were 24, 9, and 0 dB. Further tests in the living-room environment using the same beam-forming system but with filter impulse responses shortened by a factor of four (which would decrease the adaptation time by a factor of four) decreased the improvement by 5 dB. These results are sufficiently encouraging to warrant further tests involving more realistic reverberant conditions, multiple sources of interference, and time-varying acoustic environments.

Acoustics↗
PubMed1989

Creation of realistic appearing simulated patient cases using the INTERNIST-1/QMR knowledge base and interrelationship properties of manifestations.

The Internist-1/Quick Medical Reference (QMR) knowledge base (KB) describes the clinical manifestations of some 600 diseases in the domain of internal medicine. This KB, while not representing deep causal modelling of disease processes, is nonetheless effective in providing medical diagnostic assistance through the QMR medical decision support system. One potential application of this extensive KB is the generation of simulated patient cases for use in educating health professionals. However, the "flat" KB is not adequate for this because the clinical manifestations used in the disease descriptions are not mutually independent. While it is theoretically possible to construct disease descriptions which embody pathophysiologic mechanisms of disease causality, it is not practical from the standpoint of resource utilization. Short of constructing a causal knowledge base, the authors herein describe the generation of realistic appearing simulated patient case data using existing information in the knowledge base. This existing information in the KB is in the form of properties which represent a shallow form of interrelationships of the manifestations. The authors conclude that this ability to generate simulated cases represents another view in which to look at an extensive knowledge base, as well as having application to constructing intelligent tutoring systems for health professionals in training.

Artificial Intelligence↗
PubMed1990

Computer-aided intelligence: application of an expert system to brachial plexus injuries.

When confronted with a patient with a brachial plexus injury, how often as neurosurgeons do we consult an atlas to confirm the anatomy of the brachial plexus and then attempt to establish the location of the lesion? Similar difficulties are encountered with lumbar and sacral plexus lesions. In a project organized to assist the neurosurgeon in this time-consuming task, a computer program that can rapidly determine the site of a lesion in a brachial, lumbar, or sacral plexus injury was created. Using known anatomical pathways (37 clinically relevant upper and 20 lower extremity muscle innervations), and relying solely upon the neurological motor examination, rapid computer-assisted diagnosis is possible. When more than one final common pathway lesion occurs (for example, multiple root avulsions of the brachial plexus), possible lesion sites can be obtained. An interactive dialogue between the user and the program helps to determine the location of the lesion. The program can be run on any IBM-compatible personal computer and is presented as an instrument that provides assistance in cases of complex peripheral nerve injuries, when expert consultants are unavailable. In addition, it can be used as an aid to learning and as a review of basic neuroanatomy.

Artificial Intelligence↗
PubMed2026

Toward real-time quantification of driving risks: a systematic review and research agenda of risk field theory.

In complex traffic systems, driving risk often evolves in a continuous and progressive manner prior to crash occurrence. How to effectively represent and analyze such latent risk states remains a central challenge in traffic safety research. In recent years, risk field-based approaches have introduced spatial and spatiotemporal continuous modeling paradigms, providing new perspectives for characterizing the distribution of traffic risk and its dynamic evolution. Motivated by the rapid growth of this research area and the lack of a systematic synthesis, this paper presents a comprehensive review of studies applying risk field theory to driving safety and traffic risk analysis. Following the PRISMA guidelines, relevant literature was collected through multi-database searches and analyzed using a combination of bibliometric analysis and qualitative review. The review systematically summarizes the theoretical foundations, modeling elements, data sources, analytical methods, and application domains of risk field-related research. Particular attention is given to studies that conceptualize traffic risk as a continuous field, complemented by a broader review of traffic risk factor literature to identify key elements and analytical dimensions involved in risk field modeling. On this basis, the paper synthesizes research progress in major application areas, including traffic safety state representation, driving behavior analysis, traffic conflict assessment, and autonomous driving and human-machine cooperative systems. Differences and commonalities among existing studies are compared in terms of modeling strategies, data support, and application scenarios. Through this systematic review, the paper clarifies the main research themes and methodological trends of risk field-based studies, providing a structured framework for understanding the evolution and application of this approach and offering methodological insights for risk perception modeling and safety-oriented decision support in intelligent transportation systems (ITS).

Humans↗
PubMed1992

Automated scanning and digitizing of roentgenographs for documentation and research.

A comprehensive system has been developed for analyzing and reporting the results of total hip arthroplasty. The personal-computer-based system links patient demographic data with digital storage, retrieval, and analysis of roentgenographs. The system consists of a roentgenograph scanner for converting sheet film to digital data, an optical mark reader for patient data input, an archiving system with optical storage, and a physician display station for preoperative planning and postoperative evaluation. Once a roentgenograph has been digitized and stored, the image can be retrieved and manipulated in a manner not possible with the original sheet film. A selected roentgenograph can be brought to full or enlarged scale, enhanced, and overlaid with templates for preoperative planning or for postoperative measurement of changes. In addition, an intelligent database system has been developed for linking patient demographic information with the roentgenographic data. The database system employs uniform criteria and terminology and allows the retrospective study and statistical analysis of comparable cases. Three machine-readable code sheets are used: Form A, Replacement of the Hip; Form B, Hip Prosthesis Reoperation; and Form C, Follow-up. Forms A and B contain information concerning anamnesis, diagnosis, treatment, postoperative course, recovery, and discharge of the patient from the hospital. Form C provides information on physical examination, pain, mobility of the hip, walking ability, and evaluation of the results by the surgeon as well as the patient.

Computer Systems↗
PubMed1990

Computer applications in orthopaedics.

With the rapid developments in microprocessors, the widespread availability of computers has brought about broad applications in the field of orthopaedics. The present technology enables large quantities of data to be logically processed in a very short span of time. This has led to the development of information management database systems where relevant medical information may be retrieved very quickly and effectively. The analytical power of the computer has also been utilised in expert systems to assist in clinical-decision making process. Computer graphics have revolutionised the visualisation of physical features of internal and external body parts, providing new and improved modalities of diagnosis. In some centres, surgical planning and rehearsals are already being carried out at the computer terminal with the use of animation and computer graphics. Computer technology has also played an active role in the field of prosthetics and rehabilitation. Intelligent robotic systems and microprocessor with functional neuromuscular stimulation have been applied to benefit, and in some cases restore some motor functions to the physically disabled. With more collaboration between engineers, scientists and the medical community, several prototypes of computer-controlled prostheses and prosthesis designed and manufactured by Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) technology are available today to assist the amputees in their daily living and ambulatory activities.

Computer Graphics↗
PubMed1992

Infrastructure design of a picture archiving and communication system.

A picture archiving and communication system (PACS) infrastructure is the necessary framework to integrate distributed and heterogeneous imaging systems, provide intelligent data-base management of all radiology-related information, arrange an efficient means of viewing, analyzing, and documenting study results, and furnish a mechanism for effectively communicating study results to the referring physician. The PACS infrastructure consists of a basic skeleton of hardware components integrated by standardized, flexible software subsystems. This review describes these concepts and basic building blocks drawn from our original investigation, past experience, and the current clinical system in our radiology department.

Computer Systems↗
PubMed2024

Bridging the Gap From Proteomics Technology to Clinical Application: Highlights From the 68th Benzon Foundation Symposium.

The 68th Benzon Foundation Symposium brought together leading experts to explore the integration of mass spectrometry-based proteomics and artificial intelligence to revolutionize personalized medicine. This report highlights key discussions on recent technological advances in mass spectrometry-based proteomics, including improvements in sensitivity, throughput, and data analysis. Particular emphasis was placed on plasma proteomics and its potential for biomarker discovery across various diseases. The symposium addressed critical challenges in translating proteomic discoveries to clinical practice, including standardization, regulatory considerations, and the need for robust "business cases" to motivate adoption. Promising applications were presented in areas such as cancer diagnostics, neurodegenerative diseases, and cardiovascular health. The integration of proteomics with other omics technologies and imaging methods was explored, showcasing the power of multimodal approaches in understanding complex biological systems. Artificial intelligence emerged as a crucial tool for the acquisition of large-scale proteomic datasets, extracting meaningful insights, and enhancing clinical decision-making. By fostering dialog between academic researchers, industry leaders in proteomics technology, and clinicians, the symposium illuminated potential pathways for proteomics to transform personalized medicine, advancing the cause of more precise diagnostics and targeted therapies.

Proteomics↗
PubMed1990

Significant differences in the structural basis of the induction of sister chromatid exchanges and chromosomal aberrations in Chinese hamster ovary cells.

The structural basis of the induction of sister chromatid exchanges (SCE) and chromosomal aberrations (Cvt) in Chinese hamster ovary cells was investigated by the CASE (Computer Automated Structure Evaluation) method, an artificial-intelligence-based system. Using the relevant National Toxicology Program data bases CASE identified a set of structural determinants responsible for the induction of SCE and another one for Cvt. A comparison between the structural determinants associated with SCE and Cvt revealed an overlap of only 22.6%, while the overlap between SCE and the determinants of mutagenicity in Salmonella is 54.5%. This indicates a) that the structural bases of the two phenomena differ and b) that it is likely that SCE, but not Cvt, involves a significant electrophilic/DNA-damaging component.

Animals↗
PubMed1992

Decision analysis for periodontal therapy.

Current decision-making approaches in clinical medicine and dentistry are based on principles developed when diagnostic and therapeutic options were few. The rapid pace of new technology development and the role of third-party payment systems are increasingly requiring that health-care providers and patients confront very complex decisions. These decisions typically involve significant uncertainty (e.g., How will a specific patient respond to each possible treatment?) and difficult tradeoffs (e.g., How much are patients willing to pay in money, time, and treatment effectiveness to avoid pain and discomfort?). This paper discusses high-quality decision-making. High-quality diagnostic and therapeutic decisions result from a well-developed decision basis that represents the alternatives, information, and preferences pertaining to the decision at hand. An effective decision basis is framed to address patients' and clinicians' key concerns. The resulting recommendation for action is based on an understanding of what factors are most sensitive in determining the best course of action. Moreover, the value of additional information-gathering efforts (e.g., further diagnosis) can be measured before the information is obtained to determine whether it is worth more than it costs. The paper illustrates the need for better decision-making methods with a sample patient case, discusses key decision analysis principles and methods, identifies specific areas where periodontal decision-making can be improved by decision analysis, and presents a periodontal decision analysis case. It then discusses how intelligent decision system technology can make decision analysis widely available in a clinical setting and concludes by exploring how a future dental office might use this technology on a routine basis.

Decision Making↗
PubMed1991

The structure of expert diagnostic knowledge in occupational medicine.

Development of an artificial intelligence expert system for diagnosing occupational lung disease requires explicit specification of the structure of knowledge necessary in clinical occupational medicine independent of the process by which the knowledge is utilized. Furthermore, explicit recognition of sources of uncertainty is necessary. Seven categories of knowledge define the diagnostic knowledge base in occupational pulmonary medicine. These include four objects (jobs, industries, exposures, and diseases) and three relationships between pairs of objects. This analysis demonstrates some of the unique aspects of occupational medicine expertise.

Algorithms↗
PubMed1990

The structural basis of the mutagenicity of chemicals in Salmonella typhimurium: the National Toxicology Program Data Base.

A portion of the U.S. National Toxicology Program (NTP) Salmonella typhimurium mutagenicity data base was analyzed by CASE, an artificial intelligence SAR system. CASE identified 13 structural determinants which, with a high probability (p less than or equal to 0.05) predicted the likelihood of mutagenicity of the 243 chemicals in the data base (sensitivity = 0.989; specificity = 0.950) as well as of chemicals not included in the data base. CASE also identified an additional set of structures which were highly predictive of mutagenic potency (sensitivity = 0.949; specificity = 1.00). Even though there is little overlap among the chemicals included in the NTP and Gene-Tox Salmonella data bases, CASE found significant similarities between the structural determinants of the mutagenicity in the two data bases, thereby validating the analyses and indicating a commonality in the structural basis of mutagenicity.

Information Systems↗