… to Prevent Missed Diagnoses by Alerting Inadvertent Discordance Between the Radiologist and Artificial Intelligence in the Interpretation of High-Acuity CT Scans

M Chekmeyan, SJ Baccei, ER Garwood - … American College of Radiology, 2023 - Elsevier
… field, radiology is one of the first medical subspecialties to … chair of quality and safety depending
on availability and expertise. … Our results demonstrate that in real-world use, radiologists …

… , hepatocellular carcinoma, and other hepatic neoplasms: consensus imaging recommendations from American College of Radiology Pediatric Liver Reporting and …

GR Schooler, JH Squires, A Alazraki, GB Chavhan… - Radiology, 2020 - pubs.rsna.org
… to improve imaging quality, to decrease image interpretation errors… focused subspecialty
expertise in liver imaging, including the … on diagnosis, treatment, and outcomes-based research. …

Optimization of radiology workflow with artificial intelligence

E Ranschaert, L Topff, O Pianykh - Radiologic Clinics, 2021 - radiologic.theclinics.com
… As health care progresses from volume to value, such intelligent enterprise view of the
radiology department will be useful to maintain the highest-quality services at the lowest cost. …

Real world validation of an AI-based CT hemorrhage detection tool

D Wang, R Jin, CC Shieh, AY Ng, H Pham… - Frontiers in …, 2023 - frontiersin.org
… review of every scan by a sub-specialty neuroradiologist (YB), … = mild artefact with no impact
on interpretation, 2 = moderate … were reviewed by an expert neuroradiologist, a process that …

Neuroradiology diagnostic errors at a tertiary academic centre: effect of participation in tumour boards and physician experience

V Ivanovic, R Assadsangabi, L Hacein-Bey, O Raslan… - Clinical Radiology, 2022 - Elsevier
… TB expertise on reducing neuroradiological errors across the broad subspecialty spectrum.
… accuracy in interpretation and lower error rates than individual interest in a particular area of …

The ASNR-ACR-RSNA common data elements project: what will it do for the house of neuroradiology?

AE Flanders, JE Jordan - … Journal of Neuroradiology, 2019 - Am Soc Neuroradiology
… the knowledge of domain experts to ensure that relevant … of Neuroradiology was the first
subspecialty organization to … that aid radiologists in image interpretation and dictation will …

Automated segmentation of tissues using CT and MRI: a systematic review

L Lenchik, L Heacock, AA Weaver, RD Boutin… - Academic radiology, 2019 - Elsevier
… The methodological quality of 408 studies was assessed … citations reviewed by sub-specialty
experts using strict exclusion … interpretation to a more objective quantitative identification of …

Body CT examinations in oncologic patients: the impact of subspecialty radiology on radiation exposure in the clinical practice. A quality care study

S Rizzo, L Bellesi, A D'Ermo, L Bonomo… - La radiologia …, 2024 - Springer
… importance of dedicated expertise in imaging interpretation and in … the presence of a
cerebral acquisition in the same exam. … Last but not least, we did not evaluate the effects of the …

Evaluating discrepancy rates of radiology resident provisional reports for cross-sectional body imaging studies at a tertiary hospital

J Kia-Sheng Phua… - … of Singapore Healthcare, 2022 - journals.sagepub.com
… round-the-clock subspeciality expertise, many hospitals have on-call … in interpretation of body
imaging studies. Most prior … study was limited to scans from the body subspeciality. To fully …

Medical workforce in the United States

EI Bluth, DP Frush, ME Oates, J LaBerge… - Journal of Applied …, 2022 - Wiley Online Library
… With respect to the specialties and subspecialties highlighted … , and interpretation of
noninvasive imaging techniques to … and neuroradiology exists, with program oversight through …