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Musculoskeletal (MSK)PediatricAI / InformaticsResearch

Vision-language models fall short in age estimation from dental radiographs

Three VLMs (ChatGPT-4o, Copilot) achieved <35% agreement within ±1 year for chronological age from panoramic radiographs, with poorest performance at age extremes (7-8, 17-20 yrs). Cannot be recommended for clinical or forensic use.

Clinical oral investigations
Body / AbdominalAI / InformaticsResearch

Unsupervised Pelvic CBCT-to-CT Translation with Cross-Slice Attention

An unsupervised CBCT-to-CT translation model using cross-slice attention achieved PSNR 27.45 and SSIM 0.67 on pelvic imaging, outperforming 2D slice-wise methods and providing 3D contextual modeling for adaptive radiotherapy.

Biomedical physics & engineering express
Neuro / Head & NeckMusculoskeletal (MSK)AI / InformaticsResearch

nnU-Net Automatically Segments Mandibular Osteotomy Gaps on CBCT (Dice 0.73)

nnU-Net segmentation of osteotomy gaps after bilateral sagittal split osteotomy on CBCT had a Dice of 0.73 and minimal volumetric bias (+1.58 mm3), supporting objective healing assessment.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Neuro / Head & NeckAI / InformaticsResearch

AI-Accelerated T2 and TOF MRI Boosts SNR Up to 3.5-Fold in Healthy Volunteers

AI-assisted compressed sensing with deep reconstruction increased SNR up to 3.5-fold in CSF on T2 and 2.8-fold on TOF MRI in 11 and 10 healthy volunteers, respectively, with better image quality and shorter scan times.

Journal of medical imaging and radiation sciences
GeneralAI / InformaticsResearchTrainee

Physician readiness for AI: High enthusiasm but low knowledge in Saudi survey

In a survey of 435 physicians, 83.7% had positive attitudes toward AI in clinical screening/diagnosis, but only 50.3% demonstrated good knowledge. Radiology (75.9%) was seen as the highest-impact area. Top barriers: insufficient training (58.9%), lack of trust (53.8%).

Medicine
CardiacAI / InformaticsResearch

Super-resolution network with confidence maps boosts non-contrast coronary MRA quality

PABCNet super-resolves non-contrast coronary MRA, achieving a vessel ROI-PSNR of 32.68 dB (2.18 dB better than the second-best method) and providing pixel-wise confidence maps. Radiologists rated it superior in coronary clarity, cardiac structure depiction, and artifact suppress…

Computer methods and programs in biomedicine
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