Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements can revoluti
CRITICAL care medicineMEDICAL researchThe authors comment on the adoption of artificial intelligence (AI) large language model (LLM) chatbots in critical care practice and research. Topics include the utility of LLM chatbots to clinical practice and to research, concerns raised by LLM ...
Viewpoint Addressing AI Algorithmic Bias in Health Care Raj M. Ratwani, PhD; Karey Sutton, PhD; Jessica E. Galarraga, MD, MPH JAMA Artificial intelligence (AI), the next health technology disruptor, is upon us and could greatly improve patient safety. Examples include detection and prediction ...
Digital transformation has been shaking up the pharmaceutical industry for the past decade as the value of technology becomes apparent, but also increasingly necessary for business continuity in the face of rapidly growing health data.1In fact, artificial intelligence (AI) is b...
There are two aspects of artificial intelligence that exist in the practice of medicine from an analytical standpoint, not including such things as robotic assisted surgical procedures or other “hands-on” clinical practice. AI in medicine has two forms: (1) p...
Thanks to recent advances in computer science and informatics, artificial intelligence (AI) is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research. ...
Artificialintelligence-poweredmedicaltreatmentoptionsareontheriseandhavethepotentialtoimprovediagnosticaccuracy,butanewstudyfoundthataboutalmosthalfofparticipantswouldchooseahumandoctorratherthanAIfordiagnosisandtreatment."WhilemanypatientsappearresistanttotheuseofAI,accuracyofinformationandaslightpushfromphysiciansmayhelpincrea...
The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world clinical implementation has not yet become a reality. Here we review some of the key practical issues surrounding the implementation of AI into existing clinical workflows, including data...
The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine is rapidly expan
This randomized clinical trial assesses artificial intelligence feedback, instructor feedback, and no feedback in simulated learning of surgical skills