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AI in healthcare shows promise in trials but needs real-world testing to ensure effectiveness

A comprehensive study published in The Lancet Digital Health analyzed the efficacy and challenges of AI in clinical settings, revealing a critical need for real-world testing and diverse research methodologies to ensure AI's reliable integration into healthcare. ....

United States , International Clinical Trials Registry Platform , International Prospective Register Of Systematic Reviews , Lancet Digital Health , Drug Administration , Preferred Reporting Items , Systematic Reviews , International Prospective Register , Covidence Review , Google Sheets , Artificial Intelligence , Deep Learning , Medical Devices ,

Opportunities and limitations of using a large language model to respond to patient messages

A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages. ....

Danielle Bitterman , Department Of Radiation Oncology , Lancet Digital Health , Mass General Brigham , Artificial Intelligence , Radiation Oncology , General Brigham , Electronic Health Record ,