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# Ai in health and medicine pdf **
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Deep learning algorithms can deal with increasing amounts As a medical journal, we face two new pub-lishing challenges for NEJM AI. The first is the breadth of potential AI applications. We discuss key findings from ayear weekly The meteoric progress of generative artificial intelligence (AI)—such as Open AI’s ChatGPT, capable of holding realistic Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcareCurrently, there seem to be three trends in developing healthcare AIMachine learning is a dominant approach, proven to be reliable for disease detection, diagnosis, and management. We discuss key findings from ayear weekly Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. In recent years, ML algorithms have been proven reliable for detecting and diagnosing diseases TLDR. AI enables new dis-coveries and improved processes in the entire health care continuum; ethical, governance, and regulatory Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from ayear weekly Medicine is much different from other areas where AI is being applied. A review examines the advances of AI in public health and the potential challenges that lie ahead and some of the ways AI has aided public health delivery are via spatial modeling, risk prediction, misinformation control, public health surveillance, disease forecasting, pandemic/epidemic modeling, and health diagnosis. There is virtually no area in medicine and care delivery AI in medicine: creating a safe and equitable future. Expand Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients.