Skin tone assessments are critical for fairness evaluation in healthcare algorithms (e.g., pulse oximetry) but lack validation. Using prospectively collected facial images from 90 hospitalized adults at the San Francisco VA, three independent annotators…
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While artificial intelligence promises to revolutionize patient care, a fundamental trust deficit between clinicians and technology threatens to undermine its potential. The solution may not lie in more sophisticated algorithms or faster processors, but…
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Andrew Flanagan, CEO at Iris Telehealth
Healthcare organizations are installing artificial intelligence tools across their operations — diagnostic algorithms, predictive models, patient monitoring systems — while avoiding a fundamental question: Who gets sued when these…
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Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerate each stage of drug discovery and…
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AI-based algorithms have a place in the emergency department, but clinicians still need to separate signal from noise.
By John Halamka, M.D., Diercks President, Mayo Clinic Platform and Paul Cerrato, MA, senior research analyst and…
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Matt Cunningham, Executive Vice President of Product at Availity
For too long, utilization management (UM) has been the most painful source of abrasion between health plans and healthcare providers.
Care decisions are too often made by…
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Mark Coetzer, VP of Business Development, IMAT Solutions
Artificial intelligence (AI) continues to hold the spotlight in healthcare transformation, promising everything from predictive care to streamlined administrative processes. Visionary use cases include anticipating patient deterioration,…
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Visual monitoring of pre-term infants in intensive care is critical to ensuring proper development and treatment. Camera systems have been explored for this purpose, with human pose estimation having applications in monitoring position, motion,…
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Many hospitals are purchasing the latest AI algorithms to streamline operations and improve clinical care. But few of these models are being fully vetted for accuracy, bias, and transparency.
By Paul Cerrato, MA, senior research…
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Yvette Khozam, ePMA lead pharmacist at West London NHS Trust (Credit: YSK Designs)
Current safety standards can’t keep up with AI, writes Yvette Khozam, electronic prescribing and medicines administration (ePMA) lead pharmacist at West…
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