Lucas Tanner, Chief Financial Officer, Carta Healthcare
The road ahead for healthcare leaders continues to be fraught with challenges. According to a recent McKinsey survey, health system executives see digital and AI transformation as crucial…
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Transferring and replicating predictive algorithms across healthcare systems constitutes a unique yet crucial challenge that needs to be addressed to enable the widespread adoption of machine learning in healthcare. In this study, we explored…
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The overlapping imperatives of artificial intelligence and cybersecurity are becoming ever more important as the two become more intertwined across healthcare in some interesting and challenging ways. AI, for instance, is more and more being…
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The AI in Healthcare Forum wrapped up yesterday, and we’re already missing you all. 💙From lectures about AI integration to ethics and cybersecurity, the learning here has been second to none. And the connections…
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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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Parkinson’s disease (PD) presents diverse symptoms and comorbidities, complicating its diagnosis and management. The primary objective of this cross-sectional, monocentric study was to assess digital gait sensor data’s utility for monitoring and diagnosis of…
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Have you got #HIMSS25 slotted into your calendar yet? 🎰We’re going to Las Vegas, and registration is open NOW! And what happens in Vegas will definitely not stay in Vegas, because all the learning…
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Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated…
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Deep learning for computer vision can be leveraged for interpreting surgical scenes and providing surgeons with real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been demonstrated,…
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The U.S. Department of Health and Human Services on Thursday announced new funding to help improve the use and maintenance of artificial intelligence-enabled medical devices.Research has shown that machine learning models used in clinical…
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