The Potential Impact of Large Language Models on Doctor-Patient Communication: A Case Study in Prostate Cancer.

Background: In recent years, the integration of large language models (LLMs) into healthcare has emerged as a revolutionary approach to enhancing doctor-patient communication, particularly in the management of diseases such as prostate cancer.

Methods: Our paper evaluated the effectiveness of three prominent LLMs-ChatGPT (3.5), Gemini (Pro), and Co-Pilot (the free version)-against the official Romanian Patient's Guide on prostate cancer.

The Emerging Role of Large Language Models in Improving Prostate Cancer Literacy.

This study assesses the effectiveness of chatbots powered by Large Language Models (LLMs)-ChatGPT 3.5, CoPilot, and Gemini-in delivering prostate cancer information, compared to the official Patient's Guide. Using 25 expert-validated questions, we conducted a comparative analysis to evaluate accuracy, timeliness, completeness, and understandability through a Likert scale.

Clinical diagnosis of cardiac involvement in HIV infection.

HIV infection is continuously raising, and different treatments did not manage to extend the patient's life. Clinical and morphopathological features of respiratory, gastrointestinal, hematological and nervous system are well characterized in HIV infection, but cardiac involvement is not so well known. Cardiac involvement is extremely rare in HIV disease, but demonstrated by echocardiography and anatomo-pathologic methods, it is more frequently met than the clinical features are supposed to be, and it can be demonstrated by positive serologic tests.