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Interventional
Thermal ablation achieves long-term survival in kidney cancer
The 10-year overall survival (OS) and cancer-specific survival (CSS) rates were 68.5% and 75.5%.
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Most FDA-cleared AI medical devices not tested on patient outcomes
Low-quality axial T2-weighted MRI scans with gradient-weighted class activation mapping. The low-quality MRI scans (top row) show blurred structures and artifacts making zonal and capsule boundaries indistinguishable. On the same scans with gradient-weighted class activation map overlays (bottom row), red indicates regions that were most heavily weighted by the deep learning model toward the low-quality prediction.
MRI
AI framework could improve MRI quality control in prostate cancer
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True-positive PSMA-PET with positive MRI in 74-year-old male with prostate cancer (Gleason score of 4 + 5; left anterior and posterior apex positive cores). (A) Left posterior peripheral apical to midprostate hyposignal visible on transaxial MRI. (B) No definite CT correlate evident (white arrow). (C) Focal high PSMA expression detectable in left posterior mid to base with SUVmax of 12.4 on transaxial fused delayed pelvic PET/CT (yellow arrow). (D) Focal high PSMA expression found in left midgland to base of prostate on maximum-intensity-projection image (yellow arrow).
PET/CT outperforms MRI after focal therapy for prostate cancer
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August 6, 2026
(A) Ga-68 NK224 PET/CT maximum intensity projection image (left), axial PET/CT images (center), and axial CT images (right) in a 43-year-old female participant with lung adenocarcinoma show lesions in the right cerebellum (blue arrow), right frontal lobe (red arrow), and sternum (green arrow) with low, intermediate, and high tracer uptake, respectively. Photomicrographs (scale bar, 100 μm) with hematoxylin-eosin (H&E) staining (center bottom) and programmed death ligand 1 (PD-L1) immunohistochemical (IHC) staining (right bottom) show high PD-L1 expression in the sternal lesion (tumor proportion score ≥ 50%).
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Artificial intelligence (AI) assistance facilitates correct fracture identification in cases initially missed by human readers. A representative case is shown using anteroposterior radiographs in a 29-year-old male patient with wrist trauma (suspected nondisplaced transverse scaphoid fracture). The reader’s initial unaided assessment (top) resulted in a missed fracture, whereas with AI assistance (bottom), the fracture was correctly identified. The green box represents the fracture location as predicted by the AI tool, the blue box represents the reference standard annotation, and the red dots represent individual reader annotations.
AI fracture detection device validated across three European hospitals
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20-year-old man with testicular mass revisited
A 20-year-old man with an incidentally noted painless testicular mass.
38-year-old man with episode of sudden unresponsiveness revisited
45-year-old woman with abdominal pain revisited
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True-positive PSMA-PET with positive MRI in 74-year-old male with prostate cancer (Gleason score of 4 + 5; left anterior and posterior apex positive cores). (A) Left posterior peripheral apical to midprostate hyposignal visible on transaxial MRI. (B) No definite CT correlate evident (white arrow). (C) Focal high PSMA expression detectable in left posterior mid to base with SUVmax of 12.4 on transaxial fused delayed pelvic PET/CT (yellow arrow). (D) Focal high PSMA expression found in left midgland to base of prostate on maximum-intensity-projection image (yellow arrow).
Molecular Imaging
PET/CT outperforms MRI after focal therapy for prostate cancer
Interventional
Thermal ablation achieves long-term survival in kidney cancer
MRI
AI framework could improve MRI quality control in prostate cancer
Molecular Imaging
New immuno-PET tracer shows promise in lung cancer
Digital X-Ray
AI fracture detection device validated across three European hospitals
Artificial Intelligence Ai Global Communication Network 400
AI
Most FDA-cleared AI medical devices not tested on patient outcomes
Womens Imaging
Longitudinal DBT could help improve long-term cancer risk prediction
AI
AI tools may not meet breast radiologists' expectations in practice
AI
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Womens Imaging
Many women interested in AI-based risk assessment for breast cancer
Molecu Light
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Studies link MolecuLight imaging to wound graft success rates
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Interventional
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Associations
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RSNA R&E Foundation awards $4.5M in grants in 2026
Most FDA-cleared AI medical devices not tested on patient outcomes
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