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Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.
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Mid-Michigan NOW on MSNTHE MEDICAL FIELD AND AI: How could future doctors appointments look with AI?Mid-Michigan NOW's DeShawn Johnson spoke with experts to see how artificial intelligence or AI is making impacts on the world ...
This article examines the legal implications of AI in healthcare, focusing on liability issues and the need for clear ...
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News-Medical.Net on MSNNIH scientists use AI to sharpen standard eye imagingScientists at the National Institutes of Health (NIH) have leveraged artificial intelligence to transform a device designed to see tissues in the back of the eye into one sharp enough to make out ...
Medicine has always demanded speed, accuracy, and compassion, but physicians in 2025 face greater challenges than ever before ...
Enables medical professionals to observe skin without removing dressings; aims to reduce secondary infections and save time ...
Ethakota, J. , Singh, B. , Bai, S. , Tareen, H. , Kumar, D. and Malik, D. (2025) The Role of Artificial Intelligence in ...
The question is not whether AI will transform healthcare; it’s whether regulators can keep pace with that transformation.
DHA R&D-MRDC researchers are applying the latest regulatory guidance related to AI to better carry out their mission to develop life-saving medicines.
The field of medical robotics has undergone a significant transformation over the past decade, with advancements in precision ...
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Researchers from Rutgers Health and RWJBarnabas Health have developed an artificial intelligence (AI) technology that transforms basic electrocardiogram (ECG) readings of electrical activity into ...
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