Digital Health Technologies represent a marked shift from current medical technologies in use, the approach to health and healthcare and stakeholders engaged in healthcare delivery. What the digitalized future of medicine will look like…
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What You Should Know:
– Mayo Clinic announced a pivotal step toward integrating AI solutions in the clinical setting with the deployment of NVIDIA DGX SuperPOD with NVIDIA DGX B200 systems.
– The advanced infrastructure provides…
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What You Should Know:
– After a strong start to the year, the digital health sector experienced a significant pullback in Q2 2025, with deal volume declining to its lowest quarterly activity level in the…
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Cognitive impairment is a frequent complication of Parkinson’s disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from…
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Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique…
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Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spurred the development…
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Dr. Venkat Srinivasan, Ph.D, Founder & Chair at Gyan AI
As a technologist and entrepreneur who has spent decades architecting enterprise-grade AI systems across highly regulated industries, I’ve seen firsthand the chasm between AI’s promise…
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What You Should Know:
– CaringAI, a healthcare AI company focused on advancing how dementia is detected and managed, announced its official launch alongside the appointment of Dr. Stephanie Ruth Young, M.Ed., Ph.D., as Clinical…
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Sepsis, a life-threatening disease caused by infection, presents a major global health challenge due to its high morbidity and mortality rates. A rapid and precise diagnosis of sepsis is essential for better patient outcomes….
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Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease that carries non-negligible risks. Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day…
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