The SNMMI Mid-Winter Conference in Orlando, Florida, from February 1st to 3rd, 2024, convened over 700 experts in nuclear medicine and molecular imaging. Through educational tracks, sessions, and symposia, attendees explored the latest advancements…
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According to the CDC, 42% of Americans are considered obese. There aren’t enough obesity medicine specialists to see them all. Brand medications are on the FDA shortage list and natural methods such as diet…
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Hematoma expansion (HE) is a modifiable risk factor and a potential treatment target in patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning models for high-confidence prediction of supratentorial ICH expansion,…
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By Sara Heath
February 05, 2024 – HHS Secretary Xavier Becerra used last week’s Food is Medicine summit to unveil three new public-private partnerships with Instacart, the Rockefeller Foundation, and Feeding America, all with the purpose…
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Mayo Clinic recently announced a collaboration with TruLite Health, a Phoenix-based startup focused on mitigating providers’ clinical bias.
Three physicians, all of whom specialize in community internal medicine at Mayo Clinic Arizona, are helping develop…
Virtual Rehabilitation (VRehab) is a promising approach to improving the physical and mental functioning of patients living in the community. The use of VRehab technology results in the generation of multi-modal datasets collected through…
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Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular risk, but manual annotation is time-consuming. We evaluated whether automated deep learning-based EAT measurements from ungated computed tomography (CT) are associated with death…
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Headquartered in Scottsdale, Arizona, SimonMed is one of the largest outpatient medical imaging providers and radiology practices in the United States. It covers 10 states with more than 150 locations and more than 200…
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Researchers from the University of Maryland School of Medicine warn that current FDA device-exemption criteria may allow large language models (LLMs) to produce unchecked clinical summaries, potentially influencing medical decisions and causing patient harm….
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Doctors and researchers from the University of Maryland School of Medicine, the UMD Institute for Health Computing and the VA Maryland Healthcare System are concerned that large language models summarizing clinical data could meet…
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