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Errors and fallibility in radiology:X-ray readings and expert radiologists, 1947–1960

• Authors : Lysen, Flora

• Source: Lysen , F 2023 , ' Errors and fallibility in radiology : X-ray readings and expert radiologists, 1947–1960 ' , British Journal for the History of Science , vol. 8 ,

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Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

• Authors : Weiss, J.; Taron, J.; Jin, Z.X.

• Source: Weiss , J , Taron , J , Jin , Z X , Mayrhofer , T , Aerts , H J W L , Lu , M T & Hoffmann , U 2021 , ' Radiologists can visually predict mortality risk based on the

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Additional Breast Cancer Detection at Digital Screening Mammography through Quality Assurance Sessions between Technologists and Radiologists

• Authors : Coolen, Angela M. P.; Korte, Bram; Tjan-Heijnen, Vivianne C. G.

Subjects: NUMBER

• Source: Coolen , A M P , Korte , B , Tjan-Heijnen , V C G , Bodewes , H W , Voogd , A C & Duijm , L E M 2020 , ' Additional Breast Cancer Detection at Digital Screening Mammography through Quality Assurance

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Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer

• Authors : van Griethuysen, Joost J. M.; Lambregts, Doenja M. J.; Trebeschi, Stefano

Subjects: Rectal cancer; Magnetic resonance imaging; Response prediction

• Source: van Griethuysen , J J M , Lambregts , D M J , Trebeschi , S , Lahaye , M J , Bakers , F C H , Vliegen , R F A , Beets , G L , Aerts , H J W L & Beets-Tan , R G H 2020 , ' Radiomics performs comparable

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Assessing the impact of structured reporting on learning how to report lung cancer staging CT:A triple cohort study on inexperienced readers

• Authors : Cereser, L.; Cortiula, F.; Simiele, C.

Subjects: Computed tomography; Italian Society of Medical and Interventional Radiology; Lung cancer staging

• Source: Cereser , L , Cortiula , F , Simiele , C , Peruzzi , V , Bortolot , M , Tullio , A , Como , G , Zuiani , C & Girometti , R 2024 , ' Assessing the impact of structured reporting on learning how to

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The Role of Interventional Radiologists in Acute lschemic Stroke Interventions:A Joint Position Statement from the Society of Interventional Radiology, the Cardiovascular and Interventional Radiology Society of Europe, and the Interventional Radiology Society of Australasia

• Authors : Sacks, David; van Overhagen, Hans; van Zwam, Wim H.

Subjects: ACUTE ISCHEMIC-STROKE; CONSENSUS STATEMENT; ENDOVASCULAR TREATMENT

• Source: Sacks , D , van Overhagen , H , van Zwam , W H , Radvany , M G , Marx , M V , Morgan , R A , Vrazas , J I & Goh , G S 2019 , ' The Role of Interventional Radiologists in

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Can high school students help to improve breast radiologists in detecting missed breast cancer lesions on full-field digital mammography?

• Authors : van Nijnatten, T. J. A.; Smidt, M. L.; Goorts, B.

Subjects: mammography; contrast-enhanced mammography; breast cancer

• Source: van Nijnatten , T J A , Smidt , M L , Goorts , B , Samiei , S , Houben , I , Kok , E M , Wildberger , J E , Robben , S G F & Lobbes , M B I 2019 , ' Can high school students help to improve breast

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CIRSE Position Statement: Interventional Radiologists and Intra-arterial Stroke Therapy

• Authors : van Overhagen, Hans; van Zwam, Wim H.; Krajina, Antonin

Subjects: ACUTE ISCHEMIC-STROKE; ENDOVASCULAR THERAPY; CONTROLLED-TRIAL

• Source: van Overhagen , H , van Zwam , W H , Krajina , A , Fiehler , J , Reekers , J A , Cekirge , S , Thornton , J , Binkert , C A , Brountzos , E , Gangi , A & Morgan , R 2018 , ' CIRSE Position Statement:

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Inter-professional agreement of ultrasound-based diagnoses in patients with shoulder pain between physical therapists and radiologists in the Netherlands

• Authors : Thoomes-de Graaf, M.; Scholten-Peeters, G.G.M.; Duijn, E.

• Source: Thoomes-de Graaf , M , Scholten-Peeters , G G M , Duijn , E , Karel , Y H J M , van den Borne , M P , Beumer , A , Ottenheijm , R P G , Dinant , G J , Tetteroo , E , Lucas , C , Koes , B W & Verhagen

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Reproducing RECIST lesion selection via machine learning:Insights into intra and inter-radiologist variation

• Authors : Tareco Bucho, Teresa M.; Petrychenko, Liliana; Abdelatty, Mohamed A.

Subjects: Cancer imaging; Machine learning; RECIST

• Source: Tareco Bucho , T M , Petrychenko , L , Abdelatty , M A , Bogveradze , N , Bodalal , Z , Beets-Tan , R G H & Trebeschi , S 2024 , ' Reproducing RECIST lesion selection via machine learning : Insights

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