"These models are great at naming a final diagnosis once the data is complete, but they struggle at the open-ended start of a ...

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...

Even though the Food and Drug Administration (FDA) has approved more than 200 commercial radiology AI products, substantial obstacles must be overcome before we are likely to see widespread successful ...

Artificial intelligence (AI) is increasingly being explored as a tool to support clinical decision-making, yet its real-world performance in pediatric diagnosis remains unclear.

Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...

A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...

Providing useful prognostic data to guide clinical decision making for patients with metastatic castration-resistant prostate cancer (mCRPC) is challenging for several reasons. Most notable among them ...

Researchers have found that an AI model outperformed human doctors on most medical reasoning tasks, from diagnoses to patient ...

AI's performance in diagnostic tasks exceeds that of physicians, indicating a shift towards integrating advanced models in ...

As advancements in medical science progress, clinical research and development (R&D) are subject to more sophisticated and complex study designs and protocols that require precise global coordination ...