Claimable, a pioneering healthcare technology company, today announced the launch of its AI-powered appeals platform designed to combat unjust healthcare denials.
Evolution Analytics, a leader in advanced analytics and AI-driven solutions, today announced a formal partnership with C2-Ai, a global pioneer in AI-backed analytic systems for healthcare.
According to a study published in JAMA Ophthalmology, a team of researchers at Arizona State University's School of Computing and Augmented Intelligence is working on new diagnostic tools that will use artificial intelligence, or AI, to more efficiently screen for myopic maculopathy.
Flinders University experts have applied machine learning to DNA profiling, forecasting promising new advances in critical DNA testing. The journal Genes published the study.
Aclarion, Inc., a healthcare technology company that is leveraging biomarkers and proprietary augmented intelligence (AI) algorithms to help physicians identify the location of chronic low back pain, announced today that the Nociscan solution was utilized to better understand Modic changes (MC) in patients suffering from chronic low back pain (cLBP).
Welshare Health, an industry-leading company in the DeSci (Decentralized Science) space, revealed it is developing the first decentralized application empowering individuals to contribute to AI-driven medical research.
In a recent study published in the Joint Commission Journal on Quality and Patient Safety, researchers from Boston University tested GPT-4, an advanced publicly available generative AI model, to evaluate its ability to answer questions across five key areas of patient safety from the 50-question self-assessment of the Certified Professional in Patient Safety (CPPS) exam—a standardized multiple-choice certification for patient safety professionals.
MIT and MGH researchers introduced "ScribblePrompt," a novel AI framework designed to streamline medical image segmentation.
According to a new study published in The Lancet Digital Health, women around the world could benefit from improved treatment, thanks to new AI technology that allows for better detection of damaged cells and more precise prediction of the risk of developing breast cancer.
The SPACE platform leverages spatial biology and VR technology to create detailed tumor maps, enabling researchers to study tumors in 3D and predict treatment responses.
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