A plethora of classification models for the detection of glaucoma from fundus images have been proposed in recent years. Often trained with data from a single glaucoma clinic, they report impressive performance on internal…
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In today’s dynamic healthcare landscape, asynchronous (“async”) care has revolutionized how patients and providers connect, enabling clinical communication without real-time interaction. As a physician who has experienced the transformative power of async care firsthand,…
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What You Should Know:
Chartering a Course for GI Practices to Improve Healthcare
This unique collaboration between Oshi Health and both leading gastroenterology specialty medical associations charts a faster scalable course for GI practices to provide…
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The following is a guest article by Steven Lazer, Global Healthcare & Life Sciences CTO, Alex Long, Head of Life Sciences Sales Strategy, and Michael Giannopoulos, Healthcare Global CISO and CTO for the Americas…
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By Shania Kennedy
June 13, 2023 – Researchers have developed a deep learning (DL) model capable of recognizing standardized surgical fields and performing automatic surgical skill assessments using intraoperative videos of laparoscopic colorectal procedures, according to…
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GE Healthcare has obtained FDA clearance for its DL model, Sonic DL, designed for cardiac MRI. This deep learning-enhanced technology enables the acquisition of high-quality MRI images up to 12 times faster than traditional…
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When regulators speak, we listen.
Naturally risk-averse industries like the life sciences need health authority acceptance before trying new approaches and especially before committing to wholesale operational change, even if the outcome has great potential….
By Shania Kennedy
June 12, 2023 – A study published last week in Urology Practice demonstrated that ChatGPT performed poorly on the 2022 American Urological Association (AUA) Self-assessment Study Program exam, indicating that the tool may…
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GE Healthcare announced that the U.S. Food and Drug Administration has cleared Sonic DL, which leverages a neural network to accelerate image acquisition in magnetic resonance imaging, for healthcare use. WHY IT MATTERS
The need for…
Researchers from Boston University have developed a machine learning model to provide personalized hypertension treatment recommendations. The model analyzes patient-specific characteristics and medical history to generate a customized hypertension prescription, suggesting the most appropriate…
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