Multiple diseases potentially leading to blindness can be detected early by a single AI platform analyzing OCT and fundus ...
Today at ADLM 2025 (formerly the AACC Annual Scientific Meeting & Clinical Lab Expo), researchers will unveil a blood test developed with the help of artificial intelligence (AI) that identifies Lyme ...
Growing up, Dina Xu Callaway had fond memories of her live-in grandparents, who helped raise her and her sister. Inspired by ...
Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could support medical professionals in detecting and accurately diagnosing the stage ...
LAS VEGAS, May 27, 2025 /PRNewswire/ -- Avant Technologies, Inc. (OTCQB: AVAI) ("Avant" or the "Company"), and its JV partner, Ainnova Tech, Inc., (Ainnova), a leading healthcare technology company ...
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Disease surveillance programme using AI tools to detect early warning signals: Govt
The Integrated Disease Surveillance Programme has been using Artificial Intelligence tools since April 2022 to detect early warning signals and generate alerts for the timely management of potential ...
Costs are rising. Staffing is shrinking. Patients are sicker. Health systems are operating at modest operating margins, clinician shortages mean longer wait times and lower quality care, and delayed ...
The Apple Watch is on the wrist of millions of users across the world. Over the years, Apple has developed algorithms that collect data from the integrated PPG sensor to sense irregular heart rhythms ...
Researchers have unveiled new AI tools, from smartphone cough analysis to child-friendly screening systems, which could ...
Wastewater surveillance became a popular choice among public health officials looking to track rapid virus mutations and spread patterns during the COVID-19 pandemic. But what if there was a way to ...
The Integrated Disease Surveillance Programme employs AI tools to detect and manage potential outbreaks, as reported by Minister Prataprao Jadhav. The system offers real-time disease monitoring across ...
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