
Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study.
Evaluating LLMs’ confidence in clinical answers reveals paradoxical overconfidence in lower-performing models. ππ€
Discover the newest research about AI innovations in π§ LLM’s.
Evaluating LLMs’ confidence in clinical answers reveals paradoxical overconfidence in lower-performing models. ππ€
AI in healthcare is reshaping patient roles and clinician dynamics. Explore insights from our review of a pivotal PubMed article. π€π
AI aids in managing radiology’s data challenges, addressing radiologist shortages and increasing imaging demands. ππ€
Evaluating LLMs in Radiology: 500 Reports, 8 Models, High Accuracy! ππ€
Large language models show significant accuracy improvements in PM&R, with GPT-4o achieving 84.1% correct answers! ππ€
Exploring Large Language Models in Healthcare: Transformative Potential & Ethical Considerations π€π
Artificial neural networks (ANNs) are crucial in healthcare, enhancing diagnosis and treatment accuracy. π€π
Artificial neural networks (ANNs) play a crucial role in healthcare, enhancing diagnostic accuracy and patient care. π₯π€
AI in healthcare may show bias in treatment recommendations based on patient demographics, raising concerns for equitable care. βοΈπ©Ί
South Korea’s guidelines for large language models in healthcare: critical insights and improvement areas. ππ©Ί