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Insights Into Imaging|February 17, 2024
How AI should be used in radiology: assessing ambiguity and completeness of intended use statements of commercial AI productsKicky G van Leeuwen, Dennis M Hedderich, Hugh Harvey, et al.
Insights Into Imaging|February 27, 2024
Liver imaging and pregnancy: what to expect when your patient is expectingGiorgia Porrello, Roberto Cannella, Jacques Bernuau, et al.
Insights Into Imaging|February 14, 2024
Radiation reduction for interventional radiology imaging: a video frame interpolation solutionZhijiang Tang, Qiang Xiong, Xuantai Wu, et al.
Insights Into Imaging|February 14, 2024
Comparison contrast-enhanced CT with contrast-enhanced US in diagnosing combined hepatocellular-cholangiocarcinoma: a propensity score-matched studyJie Yang, Yun Zhang, Wu-Yong-Ga Bao, et al.
Insights Into Imaging|August 2, 2023
CT and MRI imaging in Sweden: retrospective appropriateness analysis of large referral samplesHenriettæ Ståhlbrandt, Ida Björnfot, Torsten Cederlund, et al.
Insights Into Imaging|March 18, 2026
Cadaveric analyses of injectate distribution patterns in ultrasound-guided rotator interval, dual-target, and posterior glenohumeral injectionsOndřej Naňka, Kamal Mezian, Ke-Vin Chang, et al.
Insights Into Imaging|April 10, 2026
Challenges underlying radiology's research problemLuis Martí-Bonmatí, Daniel Pinto Dos Santos, Diana Veiga-Canuto, et al.
Insights Into Imaging|May 7, 2024
T2-weighted imaging-based deep-learning method for noninvasive prostate cancer detection and Gleason grade prediction: a multicenter studyLiang Jin, Zhuo Yu, Feng Gao, et al.
Insights Into Imaging|May 11, 2024
Assessing the treatment response of lateral elbow tendinopathy using time-dependent ultrasonography, Doppler imaging, and elastographyDavid Tobaly, Patrice Tétreault, Guy Cloutier, et al.
Insights Into Imaging|May 12, 2024
Establishing a machine learning model based on dual-energy CT enterography to evaluate Crohn's disease activityJunlin Li, Gang Xie, Wuli Tang, et al.
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