Dr. Caroline Caramella and Prof. Mathieu Lederlin

Clinical News
France moves ahead with lung cancer screening strategy
A novel lung cancer screening examination has been developed in France. This examination and issues associated with rolling out population-based lung cancer screening have prompted intense discussion as the first pilot studies are initiated.
October 16, 2022
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Digital X-Ray
Review charts path toward standardized chest x-ray optimization
A 29-study review found no consensus on optimal beam quality for adult chest radiography, prompting calls for standardized research and safer, more consistent protocols.
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Digital X-Ray
Fairness-aware training improves pneumonia AI performance across sexes
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
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.
Digital X-Ray
AI fracture detection device validated across three European hospitals
Heart 1
CT
CT for breast radiotherapy detects ischemic heart disease risk
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Review charts path toward standardized chest x-ray optimization
By Claudia Tschabuschnig
A 29-study review found no consensus on optimal beam quality for adult chest radiography, prompting calls for standardized research and safer, more consistent protocols.
August 19, 2026
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Fairness-aware training improves pneumonia AI performance across sexes
By Claudia Tschabuschnig
Fairness-aware training reduced several sex-based disparities in pneumonia AI detection without compromising overall accuracy, but widened the sensitivity gap.
August 19, 2026
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AI framework could improve MRI quality control in prostate cancer
By Amerigo Allegretto
The framework uses a DL model trained on low- and high-quality MR images and helped improve radiologist accuracy.
August 19, 2026
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.
AI fracture detection device validated across three European hospitals
By Will Morton
No differences in AI performance were observed across centers, and AI assistance was associated with higher reader sensitivity.
August 18, 2026
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.
CT for breast radiotherapy detects ischemic heart disease risk
By Will Morton
As survival after early-stage breast cancer improves, cardiovascular disease has emerged as an increasingly prominent competing risk in older women.
August 17, 2026
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Review highlights opportunities and risks of AI in pediatric imaging
By Claudia Tschabuschnig
Adult-trained AI tools may underperform in children, requiring pediatric-specific datasets, age-stratified validation, and stronger clinical oversight for safe deployment, researchers say.
August 17, 2026
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FAPI-PET/CT shows promise in hepatopancreatobiliary cancers
By Will Morton
FAPI-PET/CT could potentially improve noninvasive cancer staging, and, ultimately, clinical decision making.
August 13, 2026
Shown is a 69-year-old man with a cholangiocarcinoma in the distal common bile duct. F-18 FDG-PET/CT was negative where Ga-68 FAPI-46 PET/CT showed high focal FAPI uptake in the liver hilum and surrounding lymph nodes. a-d: F-18 FDG-PET/CT, e-h: Ga-68 FAPI-46 PET/CT. a, b, e, f: Maximum intensity projections, c, g: axial fusion images, d, h: non-contrast enhanced CT.
AI performs well in breast screening, but density complicates the picture
By Claudia Tschabuschnig
While AI can support breast cancer risk assessment, its performance declined as breast density increased, while variations related to equipment vendor and measurement level may complicate personalized screening.
August 13, 2026
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Lviv hosts second cardiovascular forum: From imaging to wartime medicine
MCI Lviv 2026 brought Ukrainian and international specialists together for two days of practical education and scientific exchange.
August 12, 2026
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Are European pilot sites ready for organized prostate cancer screening?
By Claudia Tschabuschnig
European pilot sites have the clinical capacity for risk-stratified prostate cancer screening but lack the infrastructure needed for implementation, a study found.
August 11, 2026
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Social media holds promise for radiology education
By Claudia Tschabuschnig
A new scoping review finds strong interest in using social media for radiology education, but limited evidence that it measurably improves knowledge or performance.
August 10, 2026
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CT 5-star quality rating system supports optimization
By Will Morton
The rating framework demonstrated robust reproducibility, with three-reader concordance reaching up to 93% in highly standardized centers.
August 7, 2026
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