As artificial intelligence has proliferated to all corners of the healthcare delivery system, it’s being embraced by more and more clinicians – albeit with a healthy degree of skepticism.One group of care providers who…
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New technology will transform doctor-patient consultations saving clinicians time and reducing the burden of administration
Dictate.IT, part of Clanwilliam, a global healthcare technology and services group, has added an AI-powered clinical assistant to its market…
Richard Schwabacher, SVP of Healthcare Product at Inmar Intelligence
Imagine refilling a prescription, getting real-time health advice, and managing chronic conditions — all with the help of AI. The future of healthcare is here, and…
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Critically ill children who require inter-hospital transfers to paediatric intensive care units are sicker than other admissions and have higher mortality rates. Current transport practice primarily relies on early clinical assessments within the initial…
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Depression in older adults is often underdiagnosed and has been linked to adverse outcomes, including motor vehicle crashes. With a growing population of older drivers in the United States, innovations in screening methods are…
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Distributed learning enables collaborative machine learning model training without requiring cross-institutional data sharing, thereby addressing privacy concerns. However, local quality control variability can negatively impact model performance while systematic human visual inspection is time-consuming…
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Primary cutaneous squamous cell carcinoma (cSCC) is responsible for ~10,000 deaths annually in the United States. Stratification of risk of poor outcome at initial biopsy would significantly impact clinical decision-making during the initial post…
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Kyruus Health, a care access platform, is partnering with Abundant Health Acquisition (aha!), a health experience company, to integrate Kyruus Health’s care access platform with aha”s “low-code/no-code” platform directly within a health system’s digital…
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Applying machine learning to clinical outcome prediction is challenging due to imbalanced datasets and sensitive tasks that contain rare yet critical outcomes and where equitable treatment across diverse patient groups is essential. Despite attempts,…
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The Growing Healthcare Crisis
The United States faces an unprecedented healthcare challenge, with chronic diseases consuming approximately 90% of the nation’s $4.1 trillion annual health care expenditure. These conditions are responsible for 74% of global…
