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Unlocking the Potential of Artificial Intelligence in Health Care
Three Harvard Medical School Corporate Learners share their real-world experiences and views on the industry.
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Machine Learning in Medicine: A 101 for Health Care Executives
What is Machine Learning in Medicine? It's important for health care leaders to understand the fundamentals of the machine learning that is driving AI.
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Using AI for Pedagogical Excellence
MedEdPearls November 2023: How might you use artificial intelligence (AI) for teaching, assessment, design, or administrative purposes in medical and health professions education?
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Physicians at the Forefront of Health Care Technology Innovation
With the rapid advancement of medical devices, biotechnology breakthroughs, and digital health technology, these innovations reshape how care is delivered.
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5 Ways Medical Educators Can Use AI and Other Technologies
Most people today have heard about ChatGPT, a form of generative artificial intelligence (AI) that uses a chatbot to “converse” with users by creating content that responds to their questions or prompts. For medical educators, this emerging technology can bring real value to their classrooms and clinical teaching activities—but only if they understand how best to embrace the potential while sidestepping the risks and challenges of generative AI.
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What’s Next for the Biopharmaceutical Industry and Why Ongoing Learning is Key
The COVID-19 pandemic has led to three key trends in the biopharmaceutical industry: new therapeutic modalities, increased data usage, and stronger collaboration between industry and academia.
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How Artificial Intelligence is Disrupting Medicine and What it Means for Physicians
Artificial Intelligence (AI) has the potential to transform health care and disrupt the field of medicine in significant ways. It has shown remarkable progress in tasks such as diagnostics, data analysis, and precision medicine and is already being applied in areas ranging from patient triage to cancer detection.
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Translating AI for Health Care: Myths and Misconceptions
Lily Peng, MD, PhD, a physician-scientist and product manager at Google, discusses myths and misconceptions that surround translating AI for health care.
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AI: Leveraging Wearables and Other Patient-Generated Data in Research
Luca Foschini, PhD, co-founder and chief data scientist at Evidation Health, discusses how patient-generated health data and AI are advancing clinical studies for biotech and pharmaceutical companies.
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Utilizing Technology to Address Gaps in Medical Education
In this Harvard Macy Institute blog post, how to use technology to enhance the social aspect of learning is discussed.
