When integrating AI tools in healthcare settings, complex interactions between technologies and primary users are not always fully understood or visible. This deficient and ambiguous understanding hampers attempts by healthcare organizations to adopt AI/ML,…
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What You Should Know:
– Nucleai, a pioneer in spatial AI biomarkers raises $14M in funding led by M Ventures, the corporate venture arm of Merck KGaA.
– The investment brings Nucleai’s total funding to $60M…
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By Shania Kennedy
April 02, 2024 – A research team from Arizona State University has developed a machine learning (ML) model capable of predicting whether a patient’s immune system will recognize pathogens and other foreign cells,…
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By Shania Kennedy
March 22, 2024 – Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study published recently…
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Progress in sequencing technologies and clinical experiments has revolutionized immunotherapy on solid and hematologic malignancies. However, the benefits of immunotherapy are limited to specific patient subsets, posing challenges for broader application. To improve its…
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What You Should Know:
– Rhapsody, a leader in digital health enablement, has unveiled a groundbreaking technology called Rhapsody Autopilot.
– The first-of-its-kind solution utilizes machine learning (ML) to automatically link patient records, ensuring a comprehensive…
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The healthcare revenue cycle space is facing a staffing shortage. But as hospitals and health systems manage workforce challenges and related financial impacts from bottlenecks in claims submissions and follow-ups, more are finding help…
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By Shania Kennedy
March 05, 2024 – A research team from UC Davis Health developed a machine learning (ML) tool to identify which patients are at increased risk of developing hepatocellular carcinoma (HCC), a common type…
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By Shania Kennedy
February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…
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Background: As mobile health (mHealth) studies become increasingly productive owing to the advancements in wearable and mobile sensor technology, our ability to monitor and model human behavior will be constrained by participant receptivity. Many…
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