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Exploring the science, practice, and business of medicine.
Exploring the science, practice, and business of medicine.
Showing 10 out of 25 Insights
Biases are inadvertently programmed into AI systems and, as a result, can have a negative impact on patient care.
Today, artificial intelligence (AI) is changing the trajectory of health care—from automating routine tasks and increasing efficiency to improving diagnoses, accelerating the discovery of more effective treatments, and so much more.
Three Harvard Medical School Corporate Learners share their real-world experiences and views on the industry.
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.
MedEdPearls November 2023: How might you use artificial intelligence (AI) for teaching, assessment, design, or administrative purposes in medical and health professions education?
With the rapid advancement of medical devices, biotechnology breakthroughs, and digital health technology, these innovations reshape how care is delivered.
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.
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.
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.
Lily Peng, MD, PhD, a physician-scientist and product manager at Google, discusses myths and misconceptions that surround translating AI for health care.