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Biomedical subjects

J Stempczyńska

Publications and source records attributed to J Stempczyńska.

12 recordsLinked to original sources

Health telematics in postgraduate study.

The paper presents a description of a system that exploits possibilities offered by WWW and assists postgraduate education of physicians preparing for examinations in their medical specialisation. The system, which is a modification of the educational oncological system ONCOL1 designed earlier by the authors, is constructed so as to operate within the Polish medical education structure.

Education, Medical, Graduate↗

Neural network in communication with medical computer system.

The paper presents a concept of an experimental module designed to recognise spoken utterances that cover a limited range of words indispensable in dialogues with computer medical systems. Research into the recognition of spoken words by a module based on artificial neural network is described. Usefulness of the obtained results for surgery-assisting multimedia systems and for a patient simulator supporting medical education of students in case history-taking and diagnosing is also discussed.

Artificial Intelligence↗

TELONC system for oncology education.

The paper describes a pilot project of TELONC computer system designed to assist oncology education. At present the system is being implemented and its elements are subject to more detailed preliminary examinations. The system is of module structure and at the present stage of implementation special attention is being paid to patterns for histopathological examinations, information on drugs with aggressive impact on human organism together with suitable instructions on their usage, as well as to certain elements of the training simulator module.

Computer-Assisted Instruction↗

Artificial intelligence elements in multimedia system for surgery.

The paper presents a concept of a computer system designed to assist a surgeon's work both before and during a surgical operation. The aim of multimedia in the system is to ensure comfort in communication between an operating surgeon and his assistants. The elements of artificial intelligence, on the other hand, are to assist the surgeon in taking optimal decisions in difficult and untypical situations.

Artificial Intelligence↗

Multimedia simulator of patient.

The paper presents a concept of an educational system for medical students designed to help them learn taking case history and diagnosing oncological patients. The system is a modification of the SYMULPA system worked out by the authors and implemented and tested at the Chemotherapy Clinic of the Medical Academy of Lódź. The main changes lie in the introduction of multimedia to the system, which improves communication capabilities of the system and enables a wider range of results to be considered and examined during case history taking.

Computer Simulation↗

[ARDS (adult respiratory distress syndrome) after chemotherapy and radiotherapy. Complications in two patients treated for non-Hodgkin's lymphoma].

Complications were described in two patients with non Hodgkins lymphoma (large cell anaplastic lymphoma and histiocytoma malignum) after completion of chemotherapy and radiotherapy. Both patients died. In one of them it was established at autopsy that the cause of death was ARDS, while in the second case it was the clinical course which suggested the same diagnosis.

Adult↗

[Antiestrogens in the treatment of advanced breast cancer].

Fifty nine female patients with an advanced, recurrent breast cancer were treated with tamoxifen (TAM) in the daily dose of 40-60 mg. The drug was administered to 44 patients following ineffective chemotherapy and/or hormonotherapy with stilbestrol. Ineffective therapy was related with the deterioration of the general status. TAM was administered to the remaining 15 patients from the beginning due to the serious condition. Twenty four patients with the advanced breast cancer treated according to FAC regimen served as the control group. TAM produced significant improvement in health status of the majority of the treated patients and partial remission of cancer in 30% of them. Incidence of remissions, duration and survival period in patients treated with TAM for the advanced breast cancer did not differ significantly from the results obtained in the control group.

Adult↗

Local immunotherapy with propionibacterium granulosum KP-45 in advanced breast cancer.

50 patients with advanced metastatic breast cancer were matched into 25 "twin" pairs. In each pair, one "twin" received chemotherapy (FAC) and the other received chemoimmunotherapy (FAC + intratumorally Propionibacterium granulosum KP-45 (PG)). The therapeutic effects of this 2-year follow-up study were carefully documented and analysed. The mean survival time of FAC + PG-treated patients was about 17 months as compared to 8.5 months in FAC controls. PG-therapy responders showed increasing values of T-lymphocytes in peripheral blood, as well as higher blast transformation indices than nonresponders and controls. The skin reactivity to PHA, Distreptase, and Tuberculin was markedly enhanced in the FAC + PG-group. The incidence rate of hematological and/or infectious complications was significantly lower in PG-treated patients than in the controls. Local PG-immunotherapy was proven beneficial in advanced breast cancer when combined with FAC-chemotherapy, providing better toleration of chemotherapy and lower risk of myelosuppression and infections.

Adult↗