Answers are grounded in this paper and cite their sources.
This review demonstrates how ChatGPT optimizes diagnosis and patient engagement in precision medicine, indicating a significant advancement in healthcare.
The integration of artificial intelligence, notably the generative language model ChatGPT, into precision medicine precedes a paradigm shift in healthcare. This Review explores the capabilities of ChatGPT to process large data sets, understand contextual details, and generate human-like responses, making it a transformative tool for various applications in precision medicine. By analyzing the genetic sequences, identifying biomarkers, and predicting disease risks, ChatGPT facilitates earlier diagnosis and intervention. Moreover, its natural language processing capabilities enhance patient communication and engagement by elucidating complex medical concepts. This Review further examines ChatGPT's role in streamlining research, augmenting clinical trial recruitment, and supporting healthcare professionals through access to updated information and skill assessment. While acknowledging the complexities and potential concerns regarding reliance on publicly sourced data, this Review highlights ChatGPT's substantial capacity to optimize patient prognoses and enhance the operational efficacy of the healthcare delivery system.
No takes yet. Share an insight, caveat, or question.
Yin et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: