Editing Radiology Ai (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Radiology''' — Medical specialty interpreting medical images (X-ray, CT, MRI, ultrasound) to diagnose and monitor disease.
* '''PACS (Picture Archiving and Communication System)''' — Hospital IT system storing and distributing medical images; where radiology AI is integrated.
* '''DICOM''' — The universal standard for medical image storage and transmission; all radiology AI must handle DICOM.
* '''Chest X-ray''' — Most common imaging study; AI systems (CheXNet, CheXpert) achieve radiologist-level performance on many findings.
* '''Pulmonary embolism (PE)''' — Life-threatening clot in pulmonary arteries; CT-PE detection is a key commercial AI use case.
* '''Intracranial hemorrhage''' — Bleeding in the brain; detectable by AI on non-contrast CT; time-critical finding.
* '''Mammography AI''' — AI-assisted breast cancer screening; several FDA-cleared tools (iCAD, Hologic Genius AI, Transpara).
* '''CAD (Computer-Aided Detection)''' — AI flagging potential abnormalities for radiologist review; first-generation radiology AI.
* '''AI triage''' — Prioritizing critical/urgent findings for immediate radiologist review, reducing time-to-treatment.
* '''CheXNet''' — Stanford's 2017 landmark model: DenseNet-121 trained on 100K chest X-rays (CheXpert dataset), achieving expert-level pneumonia detection.
* '''NLP radiology''' — Extracting structured information from radiology report text using NLP.
* '''FDA 510(k)''' — US regulatory pathway for medical AI devices; dozens of radiology AI tools have cleared 510(k).
* '''Incidental findings''' — Abnormalities found in imaging studies ordered for other reasons; AI can systematically identify these.
* '''Fracture detection''' — AI detecting bone fractures in X-rays; strong commercial market (Gleamer, Nanox.AI).
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