Risk adjustment is often necessary for outcome quality indicators (QIs) to provide fair and accurate feedback to healthcare professionals. However, traditional risk adjustment models are generally oversimplified and not equipped to disentangle complex factors…
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This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use…
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Generative artificial intelligence (AI) systems have performed well at many biomedical tasks, but few studies have assessed their performance directly compared to students in higher-education courses. We compared student knowledge-assessment scores with prompting of…
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Virchow, developed by New York based digital pathology company Paige, is one of the largest image-based AI foundation models for detecting cancer. Born out of a partnership between Paige and Microsoft Research, Virchow has…
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What You Should Know:
– Iris Telehealth, a leader in transformative behavioral health services, announced today the launch of its Virtual Clinic and Iris Insights platforms.
– The innovative suite of solutions aims to address the…
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What You Should Know:
– Innovaccer Inc., a leading healthcare AI company, announced the launch of its Care Management Copilot.
– This new solution brings Innovaccer’s healthcare-native AI model, Sara, into its industry-leading care management solution, reducing the…
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What You Should Know:
Ubie, a global healthcare AI platform that enhances the intersection of patients, providers, and life sciences, today announced data from Ubie Symptom Checker: A Clinical Vignette Simulation Study, which was published…
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The Chinese University of Hong Kong and the Swiss Federal Institute of Technology, Zurich have recently conducted what could be the world’s first remote tele-endoscopy.In a pioneering research, they conducted a biopsy on the stomach wall…
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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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BOSTON – The ability to change how healthcare providers communicate with patients with artificial intelligence isn’t just about accuracy, transparency, fairness and data model maintenance, it’s figuring out how to meet personalization challenges.What patients want…
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