AI

ECRI expands reporting network to track AI errors in patient care
By AuntMinnie.com staff writers
The Problem Reporting Network now captures and investigates errors and near misses involving AI such as tools used in radiology.
August 25, 2026
Artificial Intelligence Ai Medical Healthcare Tools 400
Cortechs.ai wins FDA clearance for NeuroQuant PET
By AuntMinnie.com staff writers
The software offers automated quantification for amyloid PET imaging in Alzheimer's disease and other neurological conditions.
August 19, 2026
A Ibrain
Most FDA-cleared AI medical devices not tested on patient outcomes
By Amerigo Allegretto
Of the 1,059 FDA-cleared devices used in radiology, three had a registered trial.
August 19, 2026
Artificial Intelligence Ai Global Communication Network 400
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.
Radiology Partners unit Mosaic petitions FDA on imaging AI regulation
By AuntMinnie.com staff writers
The petition seeks clarity on the regulation of AI vision language models used for diagnostic medical image analysis.
August 18, 2026
Artificial Intelligence Ai Medical Healthcare Tools 400
FDA issues discussion paper on GenAI medical devices
By AuntMinnie.com staff writers
The paper covers risk assessment, pre-market evaluation, and considerations around foundation models and agentic AI systems.
August 18, 2026
Fda Button 400
Longitudinal DBT could help improve long-term cancer risk prediction
By Amerigo Allegretto
A longitudinal DBT model outperformed other models based on mammography and clinical factors in predicting five-year cancer risk.
August 13, 2026
Breast Dbt 400
CMS approves Medicare add-on payment for Aidoc CT triage AI
By AuntMinnie.com staff writers
Qualifying Medicare Fee-For-Service inpatient cases using the device will be eligible for reimbursement.
August 13, 2026
Artificial Intelligence Ai Medical Healthcare Tools 400
Nanox AI optimizes CT imaging framework for Intel processors
By AuntMinnie.com staff writers
The company said this enables on-premise deployment of its CT imaging AI software within healthcare facilities.
August 13, 2026
Ct Scanner Control Room 400
AI tools may not meet breast radiologists' expectations in practice
By Amerigo Allegretto
AI tools in breast imaging may have more modest clinical impact on recall and biopsy rates.
August 12, 2026
Breast Mammo Computer 400 (3)
Model confidence, reader expertise affect reader-LLM collaboration
By Amerigo Allegretto
Successful human-LLM collaboration is associated with model confidence and reader expertise in chest imaging.
August 11, 2026
Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
Twelve health systems form Diagnostic AI Consortium with Aidoc
By AuntMinnie.com staff writers
The consortium will co-design AI-enabled diagnostic workflows and develop shared implementation and governance practices.
August 11, 2026
Artificial Intelligence Ai 400
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