The following is a guest article by Kenji Taylor, MD, MSc, Clinical Consultant, Supervising Physician at Ubie
Artificial intelligence holds immense potential to revolutionize healthcare, offering precision medicine, accelerated drug discovery, and improved patient outcomes….
Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data. However, concealed systematic biases can…
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A recent Gartner survey found the majority of customers are “AI shy”: 64% say they’d rather companies not incorporate AI into the customer experience. Customers also were concerned about AI and incorrect information (42%),…
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When it comes to health AI, ethics are everything. ‼️Done right, machine learning is a massive support. But we've got to be careful around data privacy, patient consent, and bias.Here's our take—and if you…
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What You Should Know: – mpathic, the leader in AI-powered actionable conversation analytics specializing in healthcare, life sciences, and client services was recently awarded an NIH SBIR grant to address racial bias in mental…
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Amid a national reckoning with racism spurred by the COVID-19 death rate among Black Americans, the U.S. Food and Drug Administration’s standards for pulse oximeters – those all-too-common devices that use light to measure…
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LLMs, Data Privacy, Patient Safety and Hallucinations Earlier this year, the World Health Organization released guidelines for the ethical use of LLMs and other AI in healthcare. WHO recognized the potential for LLMs while highlighting…
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The Coalition for Health AI publishes a draft framework for the responsible use of AI in healthcare and solicits public comment. CHAI also posted a draft document of Assurance Reporting Checklists for self-reporting and…
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In this systematic review, we compared the effectiveness of telehealth with in-person care during the pandemic using PubMed, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials from March 2020 to April 2023….
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Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in…
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