An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...
A research team introduces PodNet, the first real-time instance segmentation model designed for preharvest soybean fields.
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Deep transfer learning methodologies reveal hidden heterogeneity in β-cells driven by type 2 diabetes and obesity.
Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...
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Deep learning tool improves accuracy of lung nodule malignancy detection
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.
Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening ...
This article explores the science behind emerging 3D pregnancy scans and what the future holds for preventing pregnancy ...
(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...
Welcome listeners to the September 16th 2025 issue of Circulation on the Run. And I'm one of your co-hosts, Dr. Peder Myhre.
A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.
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