What You Should Know:
– XRHealth, a pioneer in therapeutic virtual reality (VR), mixed reality (MR), and extended reality (XR) solutions, announces today that they acquired the immersive, digital therapeutics company RealizedCare, further advancing AI-powered, value-based care in healthcare.
– With…
Continue Reading
A new TV show, The Pitt, is winning rave reviews from healthcare workers for accurately depicting the crisis facing emergency rooms. With a packed waiting room of desperate people, the limited staff of a…
Continue Reading
Musculoskeletal complaints account for 30% of GP consultations, with many referred to rheumatology clinics via letters. This study developed a Machine Learning (ML) pipeline to prioritize referrals by identifying rheumatoid arthritis (RA), osteoarthritis, fibromyalgia,…
Continue Reading
Key Findings in AI Nephrology Research
Mayo Clinic researchers have demonstrated that ChatGPT achieves remarkable accuracy in triaging nephrology cases, offering promising solutions for healthcare optimization. The AI system correctly identified consultation needs with 99.5%…
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable…
Continue Reading
Dr. Jakub Jaszczak, Sr. Product Manager, Infermedica
Imagine a world where your smartphone becomes your first line of defense against illness – where artificial intelligence (AI) can assess symptoms, offer personalized advice, and guide you…
Continue Reading
This week, Philadelphia-based behavioral health tech company Neuroflow completed its third acquisition. The company acquired Intermountain Health’s behavioral health risk analytics model to integrate into its software platform.
Neuroflow, which was founded in 2016, offers…
Continue Reading
The modern concept of “triage” dates to the Napoleonic Wars, when French battlefield surgeons developed a system for assessing the wounded and determining treatment priority to govern appropriate medical action in the chaos and…
Continue Reading
Patient smart access and self-triage systems have been in development for decades. As of now, no LLM for processing self-reported patient data has been published by health systems. Many expert systems and computational models…
Continue Reading
In this study, we investigate the performance of computer vision AI algorithms in predicting patient disposition from the emergency department (ED) using short video clips. Clinicians often use “eye-balling” or clinical gestalt to aid…
Continue Reading
