ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

Background: The increasing development and spread of artificial and assistive intelligence is opening up new areas of application not only in applied medicine but also in related fields such as continuing medical education (CME), which is part of the mandatory training program for medical doctors in Germany. This study aimed to determine whether medical laypersons can successfully conduct training courses specifically for physicians with the help of a large language model (LLM) such as ChatGPT-4. This study aims to qualitatively and quantitatively investigate the impact of using artificial intelligence (AI; specifically ChatGPT) on the acquisition of credit points in German postgraduate medical education.

New categorization of chest pain: noncardiac is in, atypical is out!

Chest pain poses a diagnostic challenge in the emergency department and requires a thorough clinical assessment. The traditional distinction between "atypical" and "typical" chest pain carries the risk of not addressing nonischemic clinical pictures. The newly conceived subdivision into cardiac, possibly cardiac, and (probably) noncardiac causes of the presenting symptom complex addresses a much more interdisciplinary approach to a symptom-oriented diagnostic algorithm.

Cardiac, possible cardiac, and likely non-cardiac origin of chest pain : A hitherto underestimated parameter in German chest pain units.

Background: Current guidelines emphasize the diagnostic value of non-cardiac or possibly cardiac chest pain. The goal of this analysis was to determine whether German chest pain units (CPUs) adequately address conditions with "atypical" chest pain in existing diagnostic structures.

Method: A total of 11,734 patients from the German CPU registry were included.

A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review.

Background: ChatGPT is a 175-billion-parameter natural language processing model that is already involved in scientific content and publications. Its influence ranges from providing quick access to information on medical topics, assisting in generating medical and scientific articles and papers, performing medical data analyses, and even interpreting complex data sets.

Objective: The future role of ChatGPT remains uncertain and a matter of debate already shortly after its release.