For the 75th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Bill Hudson, Chief Digital Strategist at Aidoc and former CIO at INTEGRIS Health and John Muir Health…
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Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges inhibit this potential, including (1) heterogeneity among and…
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With an aging population and healthcare systems under strain around the globe, there’s an urgent need to improve efficiency in healthcare. The healthcare industry has been undergoing digitalisation for decades, with a focus on data…
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Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with conventional ECG measures or expert interpretation. This study develops and validates such…
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What You Should Know:
– Implicity, a leader in remote patient monitoring and cardiac data management, has received FDA 510(k) clearance for SignalHF1, a groundbreaking new algorithm within their remote monitoring solution.
– SignalHF1 algorithm empowers…
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What You Should Know:
– WakeMed Health & Hospitals and Regard today announced a 3-year enterprise agreement to deploy Regard’s AI clinical automation tool to the system’s 3 acute care hospitals by the end of…
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Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer…
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A trio of companies have introduced new advances in artificial intelligence designed to improve patient outcomes and reduce clinician burnout. RapidAI announced a new tool that helps frontline clinicians make decisions when minutes count in…
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Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and machine learning (ML) techniques in PTSD. We…
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Distribution shifts remain a problem for the safe application of regulated medical AI systems, and may impact their real-world performance if undetected. Postmarket shifts can occur for example if algorithms developed on data from…
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