CHiQA Beta - National Library of Medicine
An experimental AI system that is learning how to answer health-related questions using reliable sources for patients.
A free, AI-powered research tool for scientific literature.
Artificial intelligence (AI) allows computers to accomplish tasks that normally require the use of human intelligence. Creating AI, or an AI computer system, begins when developers feed the system existing data and allow it to “learn.” This learning experience enables AI to understand, infer, communicate, and make decisions similar to, or better than, humans. The use of AI in medicine is an area of rapid growth, with worldwide spending on health care AI technologies estimated to reach US $45 billion by 2026. AI is used across numerous medical specialties, and can be applied to inform medical decision-making in numerous ways, such as through expediting and reducing the costs of drug discovery; offering insight that aids clinicians in diagnosing, prognosing, or optimizing treatment plans at the point of care; and automating medical administration activities such as appointment reminders.
Crossnohere NL, Elsaid M, Paskett J, Bose-Brill S, Bridges JFP. Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks. J Med Internet Res. 2022 Aug 25;24(8):e36823. doi: 10.2196/36823. PMID: 36006692; PMCID: PMC9459836.
The Artificial Intelligence (AI) Guide provides an introduction to this evolving field for faculty, students, and staff. Due to the rapid advancement of this emerging technology, information in the Guide may become outdated at times. This Guide supplements but does not supersede information provided by any of the policies or guidelines provided by the Texas Medical Center Library or its governing institutions.