Human skin tone is influenced by genetic, environmental, and cultural factors and plays a key role in dermatology due to variation in disease presentation across skin tones. The widely used Fitzpatrick scale, based on…
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Aidoc and NVIDIA have developed an open-source framework designed to help chief information officers and governance leaders at health systems manage the fragmentation – across vendors, evaluation processes and IT strategies – that invariably arises…
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Cancer research organization City of Hope has co-led a study to show that characterizing genetic material close to chromosomes predicts how mutated, cancer-causing genes reprogram DNA and alter the tumor microenvironment. City of Hope said…
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What You Should Know:
– HOPPR, the company revolutionizing how AI imaging applications are built, validated, and deployed secures $31.5M in an oversubscribed Series A funding round led by Kivu and Greycroft, with participation from…
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Infantile epileptic spasm syndrome (IESS) is a severe neurological disorder characterized by epileptic spasms (ES). Timely diagnosis is crucial, but it is often delayed due to symptom misidentification. Smartphone videos can aid in diagnosis,…
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Generative AI voice agents—conversational systems powered by large language models that can understand and produce natural speech in real time—are poised to transform how health systems engage with patients. While technical and implementation challenges…
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Sepsis accounts for a substantial portion of global deaths and healthcare costs. The objective of this reproducibility study is to validate Duke Health’s Sepsis Watch ML model, in a new community healthcare setting and…
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Thalassemia is an inherited blood disorder. Current diagnostic methods mainly rely on sophisticated equipment and specifically trained technicians. This study aims to identify and genotype thalassemia by applying machine learning (ML) algorithms to routine…
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Chang Gung Memorial Hospital, Linkou in Taoyuan City, Taiwan, has been validated for Stage 6 of the HIMSS Analytics Maturity Assessment Model.The AMAM measures an organisation’s capabilities in healthcare analytics.
WHY IT MATTERS
A major challenge…
Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third…
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