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March 4, 2021 An artificial intelligence (AI) algorithm that screens head CT exams for intracranial hemorrhage (ICH) and triages suspected cases for radiologist review can yield significant improvements in patient outcomes, researchers from Israel reported in a Wednesday presentation at ECR 2021. After retrospectively reviewing ICH cases for a year before and a year after adoption of a commercial deep-learning algorithm, Dr. Daniel Raskin and colleagues from Sheba Medical Center in Tel Aviv found that the use of AI led to decreased patient mortality, readmission rates, and disability. Such AI technology may help prioritize radiology workflow, decrease the time lag between scan and diagnosis, and result in favorable patient outcomes, said Raskin, a radiology resident.

Tel avivDaniel raskinSheba medical centerMedical centerModified rankin scalesModified rankin scaleMedical imagingArtificial intelligenceDeep learningIntracranial hemorrhageதொலைபேசி அவிவ்டேனியல் ரஸ்கின்ஷெபா மருத்துவ மையம்மருத்துவ மையம்மாற்றப்பட்டது ரான்கின் செதில்கள்மாற்றப்பட்டது ரான்கின் அளவு