From open-ended to multiple-choice: evaluating diagnostic performance and consistency of ChatGPT, Google Gemini and Claude AI.

Objective: Aim: To determine the performance and response repeatability of freely available LLMs in diagnosing diseases based on clinical case descriptions.

Patients And Methods: Materials and Methods: 100 detailed clinical case descriptions were used to evaluate the diagnostic performance of ChatGPT 3.5, ChatGPT 4o, Google Gemini, and Claude AI 3.

FROM TEXT TO DIAGNOSE: CHATGPT'S EFFICACY IN MEDICAL DECISION-MAKING.

Objective: The aim: Evaluate the diagnostic capabilities of the ChatGPT in the field of medical diagnosis.

Patients And Methods: Materials and methods: We utilized 50 clinical cases, employing Large Language Model ChatGPT-3.5.

DYNAMICS OF DIPHTHERIA INCIDENCE IN THE TRANSCARPATHIAN REGION OF UKRAINE IN THE VACCINATION ERA.

Objective: The aim: Was to study the dynamics of the incidence of diphtheria in the Transcarpathian region of Ukraine.

Patients And Methods: Materials and methods: A retrospective analysis of the data of the state statistical reporting of the Transcarpathian region on the incidence of diphtheria, the carriage of infection, vaccination coverage and the severity of diphtheria immunity was carried out.

Conclusion: Conclusions: Low coverage of the population with vaccination against diphtheria, registration of an outbreak of diphtheria among international students of the region, and other regions of Ukraine in conditions of increased population migration, are alarming prognostic signs of the possible development of another significant epidemic rise of diphtheria morbidity in Transcarpathia.

Priorities of anti-hyperglycaemic drug therapy in patients with type 2 diabetes and heart failure.

Objective: The aim is to explore the possibilities of improving the effectiveness in preventing cardiovascular diseases and heart failure using sodium-glucose co-transporter 2 inhibitors.

Patients And Methods: Materials and methods: The analysis of the existing clinical and experimental data on the effect of sodium-glucose co-transporter 2 (SGLT-2) inhibitors on the cardiovascular system, the condition of kidneys, cardiovascular risk factors.

Results: Review: SGLT-2 inhibitors are the first class of glucose-lowering agents in large-scale studies (EMPA-REG OUTCOME, CANVAS, CVD-REAL, CVD-REAL2) which have demonstrated the ability to improve cardiorenal outcomes and reduce the risk of hospitalization with heart failure in patients with diabetes.