AI Spots Hidden Heart Disease Signals in Ordinary Chest X-Rays, Study Finds
A vision-capable large language model detected coronary artery calcification on routine chest X-rays with promising accuracy, suggesting ordinary radiographs could ...
A vision-capable large language model detected coronary artery calcification on routine chest X-rays with promising accuracy, suggesting ordinary radiographs could ...
A study of 511 participants in Nigeria found that a PfHRP2-based rapid diagnostic test detected most malaria infections during high ...
A retrospective study of 116 patients shows that quantitative CT parameters, especially the maximum enhanced CT value, can reliably distinguish ...
A prospective study shows that amide proton transfer-weighted MRI can noninvasively distinguish lung adenocarcinoma from lung squamous cell carcinoma in ...
A new meta-analysis of 18 studies finds that deep learning applied to dynamic contrast-enhanced breast MRI achieves 90 percent sensitivity ...
A prospective study of 412 children found that GPT-5.2 Instant missed nearly half of elbow fractures on radiographs, with sensitivity ...
Stanford researchers found that a Samsung Galaxy Watch detected moderate-to-severe obstructive sleep apnea with 94 percent accuracy, offering an accessible ...
A Chinese real-world study finds that adding serum progesterone to transvaginal ultrasound and the M6NP hCG-based risk model raises the ...
In the quiet biochemistry labs of a tertiary-care hospital in Pune, western India, researchers have stumbled onto something that could ...
A Bayesian latent class analysis of archived sera from febrile patients in Moshi, Tanzania, shows that both the IDvet ELISA ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine