AI Learns to Check Its Own X-Ray Reports by Searching Past Cases Before Writing
Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...
Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...
A prospective cohort study in Lesotho shows that baseline chest radiographic features and sputum smear grades can identify patients at ...
Researchers in Qatar have built a two-stage AI pipeline that predicts clinical keywords from chest X-rays and then generates full ...
Researchers have developed Adaptive-CGAN, a generative AI framework that produces realistic synthetic chest X-rays, lifts diagnostic accuracy to 99.60 percent, ...
A new cross-modality knowledge distillation framework uses CT-derived feature supervision to boost chest X-ray classification of lung diseases by up ...
A structured Plan-Do-Check-Act training program in multiethnic primary care clinics in Xinjiang raised the proportion of diagnostically excellent chest X-rays ...
Researchers show that a selective embedding data loading strategy alternating X-ray and CT scans lets deep learning models reach competitive ...
A South African study of 673 adults with diabetes found that symptom screening detected only about 22 percent of tuberculosis ...
A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
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© 2025 Scienmag - Science Magazine