{"product_id":"harvard-ai-in-clinical-medicine-2026","title":"Harvard AI in Clinical Medicine 2026","description":"\u003cul\u003e\n  \u003cli\u003eInclude:  videos + file sub vtt +  pdf, size:  GB\u003c\/li\u003e\n  \u003cli\u003eTarget Audience: pathologists, endocrinologists, ophthalmologists, nurses, gastroenterologists, intensivists, radiologists, surgeons, anesthesiologists, oncologists, pulmonologists, cardiologists, and psychiatrists\u003c\/li\u003e\n  \u003cli\u003eSample video: contact me for sample video\u003c\/li\u003e\n  \u003cli\u003eInformation:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e1. Overview\u003c\/p\u003e\n\u003cp\u003eNew technologies are available now to help you impact your practice. AI medical scribes, new research tools and diagnostic tests, and personalized treatment options are just a few applications of AI that are beginning to have a direct impact on clinicians and the patients they serve.\u003c\/p\u003e\n\u003cp\u003eUp until now, most health care providers have not received formal training in artificial intelligence. Now is the time for physicians, nurses, advanced practice providers, and all allied health professionals to prepare for how AI is changing medical care.\u003c\/p\u003e\n\u003cp\u003eThis live online course focuses on cutting edge and exciting new applications of AI, including foundational principles and lessons learned that you will be able to take directly back to your practice. Over three days, you will hear from medical society leaders, academic leaders, and innovators from academia and industry.\u003c\/p\u003e\n\u003ch3\u003e2. Learning Objectives Upon completion of this course, participants will be able to:\u003c\/h3\u003e\n\u003cp\u003eDiscuss the ethical considerations and potential biases in AI algorithms, especially in decision-making processes related to patient care, diagnosis, and treatment planning.\u003c\/p\u003e\n\u003cp\u003eAssess the long-term quality and accuracy of AI technologies and their impact on patient care.\u003c\/p\u003e\n\u003cp\u003e3. Target Audience\u003c\/p\u003e\n\u003cp\u003eWho Should Participate: Clinicians treating patients in any type of setting including, physicians, nurses, nurse practitioners, and clinical leaders.\u003c\/p\u003e\n\u003cp\u003eBest for pathologists, endocrinologists, ophthalmologists, nurses, gastroenterologists, intensivists, radiologists, surgeons, anesthesiologists, oncologists, pulmonologists, cardiologists, and psychiatrists.\u003c\/p\u003e\n\u003cp\u003e4. Topics\u003c\/p\u003e\n\u003cp\u003eKeynote: Paging Dr. A.I.: How AI is Changing the Face of Clinical Care\u003c\/p\u003e\n\u003cp\u003eLearning the AI Lingo: Machine Learning, Deep Learning, and Large Language Models\u003c\/p\u003e\n\u003cp\u003eA Look Into the Black Box: Technical Background for Clinicians\u003c\/p\u003e\n\u003cp\u003eMedical Data as the Backbone of AI\u003c\/p\u003e\n\u003cp\u003eChatbots in Health Care: A Historical Expedition\u003c\/p\u003e\n\u003cp\u003eAI Learning Revolution: Transforming Medical Education\u003c\/p\u003e\n\u003cp\u003eAmbient Scribes\u003c\/p\u003e\n\u003cp\u003eAn AI designed drug for IPF: from preclinical development to phase II in under 3 years\u003c\/p\u003e\n\u003cp\u003ePrecision Medicine: AI and Personalized Treatment in Oncology\u003c\/p\u003e\n\u003cp\u003eKeynote: Ethics and AI in Healthcare\u003c\/p\u003e\n\u003cp\u003eAI for Pioneering Leadership in the Digital Era\u003c\/p\u003e\n\u003cp\u003eLaw and Regulation in AI\u003c\/p\u003e\n\u003cp\u003eTelemetry\/Mhealth for early detection of heart failure exacerbation\u003c\/p\u003e\n\u003cp\u003eBrain computer interfaces and decoding speech\u003c\/p\u003e\n\u003cp\u003eCan Chat bots improve mental health?\u003c\/p\u003e\n\u003cp\u003eBias in Risk Stratification for allocation and policy\u003c\/p\u003e\n\u003cp\u003eRobust, Fair and private AI\u003c\/p\u003e\n\u003cp\u003eAlgorithmic bias in clinical scores and implications for AI\u003c\/p\u003e\n\u003cp\u003eBut I Want it Now!: Barriers to Clinical AI Implementation\u003c\/p\u003e\n\u003cp\u003eHow Can I Help You? Clinical Decision Support in the EHR\u003c\/p\u003e\n\u003cp\u003eImplementing AI in your small practice\u003c\/p\u003e\n\u003cp\u003eHidden risks of AI in your practice\u003c\/p\u003e\n\u003cp\u003eMoney Talks: How AI Can Help You Improve Your Bottom Line\u003c\/p\u003e\n\u003cp\u003eAI and Reducing Healthcare Provider Burnout\u003c\/p\u003e\n\u003cp\u003eWhy AI may be good for our health but hurt our wallets\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Pathology\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Endocrinology\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Ophthalmology\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Nursing\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Gastroenterology\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Critical Care\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Radiology\u003c\/p\u003e\n\u003cp\u003eStudy Hall – Clinical Applications: Surgery or Anesthesia\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Ambient Scribe from Abridge\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Leveraging clinician’s expertise with Agentic AI\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Evidence search using OpenEvidence\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Doctronic\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Uptodate Expert AI\u003c\/p\u003e\n\u003cp\u003eVirtual demonstrations: Glasshealth’s clinical decision support platform\u003c\/p\u003e","brand":"Medicalcoursespro","offers":[{"title":"Default Title","offer_id":46405757862084,"sku":null,"price":390.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0751\/7644\/4100\/files\/Harvard-AI-in-Clinical-Medicine-2026.jpg?v=1784215801","url":"https:\/\/medicalcoursespro.com\/products\/harvard-ai-in-clinical-medicine-2026","provider":"Medicalcoursespro","version":"1.0","type":"link"}