ChatGPT in precision medicine
Chengliang Yin, Xiaochun Sun, Anlin Dai, Xin-yao Ye, Yi Lu, Wanling Wang, Yuanyuan Chen, Hong Jiang, Juan Yu, Siomui Chong, Mingming Jiang, Jiayu Xu, Bing Yang, Rajeswari Chappa, Santosh Chokkakula, Kunlun He
TL;DR
ChatGPT can transform precision medicine by analyzing data, aiding diagnosis, and improving patient communication.
Contribution
This paper reviews ChatGPT's novel applications in precision medicine, including biomarker identification and clinical trial recruitment.
Findings
ChatGPT can analyze genetic sequences and predict disease risks for earlier diagnosis.
Natural language processing in ChatGPT improves patient understanding of complex medical concepts.
ChatGPT streamlines research and supports healthcare professionals with updated information.
Abstract
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…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Digital Mental Health Interventions · Machine Learning in Healthcare