New AI Model Enhances Breast Cancer Recurrence Prediction
New AI model improves breast cancer recurrence prediction by analyzing imaging and clinical data. Promising results for patient monitoring. ππ€
November 12, 2025
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Discover the newest research about AI innovations in πΌοΈ Computer Vision.
Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings.
Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection on low-cost hardware. π©ΊποΈ
November 10, 2025
Children’s drug research and development incentives and market pricing optimization based on medical imaging.
Children’s drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. ππ
November 7, 2025
CT Scan Changes Over One Year Predict Outcomes in Fibrotic Lung Disease
CT scan changes over one year can indicate future outcomes in fibrotic lung disease. ππ« Early detection is crucial.
November 2, 2025
Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery.
“Multimodal contrastive learning enhances rs-fMRI analysis for post-surgery brain network recovery in hypothalamic hamartoma patients. π§ π”
October 31, 2025
Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills.
AI in Endodontics: Enhancing Skills with Machine Learning & VR ππ¦·
October 20, 2025
Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.
Automated detection of third molar and nerve relations shows 97% accuracy using UNet. DenseNet121 achieves 84% accuracy. π¦·π
October 5, 2025
Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, CΓ΄te d’Ivoire, Nigeria and Uganda.
AI in Malaria RDTs: 96.8% Accuracy Across 110,843 Tests in Africa! π€π
October 2, 2025
Enhanced diagnostic pipeline for maxillary sinus-maxillary molars relationships: a novel implementation of Detectron2 with faster R-CNN R50 FPN 3x on CBCT images.
AI enhances maxillary sinus-molar diagnostics with 89% accuracy, improving surgical planning and patient safety. π¦·π€
September 29, 2025
A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis.
Exploring multi-modal medical image fusion: Enhancing diagnostic accuracy through advanced algorithms and clinical applications. π©Ίπ
September 15, 2025