Results 1 to 10 of about 379,178 (243)

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

PLoS Medicine, 2018
Background Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologists to
Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball   +2 more
exaly   +2 more sources

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

Diagnostic and Interventional Imaging, 2019
PURPOSE The purpose of this study was to assess the perception, knowledge, wishes and expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) in radiology.
Sammy Badr, X Demondion, A Cotten
exaly   +2 more sources

Network analysis of occupational stress and job satisfaction among radiologists

Frontiers in Public Health
BackgroundOccupational stress and job satisfaction significantly impact the well-being and performance of healthcare professionals, including radiologists.
Shenchu Gong, Meihong Sheng
exaly   +3 more sources

A context-based chatbot surpasses trained radiologists and generic ChatGPT in following the ACR appropriateness guidelines

medRxiv, 2023
Background Radiological imaging guidelines are crucial for accurate diagnosis and optimal patient care as they result in standardized procedures and thus reduce inappropriate imaging studies. In the present study, we investigated the potential to support
A. Rau, S. Rau, D. Zoeller, A. Fink, Hien Tran, C. Wilpert, Johanna Nattenmueller, J. Neubauer, F. Bamberg, M. Reisert, Maximilan F. Russe   +10 more
semanticscholar   +1 more source

Ultrasound-guided assessment of gastric residual volume in patients receiving three types of clear fluids: A randomised blinded study

Indian Journal of Anaesthesia, 2021
Background and Aims: Ultrasonography (USG) is used to evaluate gastric residual volume (GRV); however, this technique may have inter-assessor variability.
Jeson Rajan Doctor, Pramila Chandan, Nitin Shetty, Kunal Gala, Priya Ranganathan   +4 more
doaj   +1 more source

Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography

European Radiology, 2023
Objective To examine whether incorrect AI results impact radiologist performance, and if so, whether human factors can be optimized to reduce error. Methods Multi-reader design, 6 radiologists interpreted 90 identical chest radiographs (follow-up CT ...
M. Bernstein, M. Atalay, E. Dibble, A. Maxwell, A. Karam, Saurabh Agarwal, Robert C. Ward, T. Healey, G. Baird   +8 more
semanticscholar   +1 more source

Variation of inversion delay for wrist joint MR imaging with SPAIR technique: which ID is optimal?

Medisains, 2021
Background: The current fat suppression technique in magnetic resonance imaging (MRI) significantly diagnoses abnormalities in musculoskeletal disorders.
Fani Susanto, Hernastiti Sedya Utami
doaj   +1 more source

Radiologists’ experiences and perceptions regarding the use of teleradiology in South Africa

South African Journal of Radiology, 2023
Background: Teleradiology was implemented in South Africa in 1999, but the subsequent uptake was low and slow. The onset of the coronavirus disease 2019 (COVID-19) pandemic catapulted South African healthcare into the arena of teleradiology. This created
Renata Schoeman, Mario Haines
doaj   +1 more source

Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists [PDF]

Comput. Biol. Medicine, 2021
A fully-automated deep learning algorithm matched performance of radiologists in assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence grading system.
Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, R. Mather, W. Jiranek, M. Mazurowski   +7 more
semanticscholar   +1 more source

Interpretation of Thoracic Radiography Shows Large Discrepancies Depending on the Qualification of the Physician—Quantitative Evaluation of Interobserver Agreement in a Representative Emergency Department Scenario

Diagnostics, 2021
(1) Background: Chest radiography (CXR) is still a key diagnostic component in the emergency department (ED). Correct interpretation is essential since some pathologies require urgent treatment.
Jan Rudolph, Nicola Fink, Julien Dinkel, Vanessa Koliogiannis, Vincent Schwarze, Sophia Goller, Bernd Erber, Thomas Geyer, Boj Friedrich Hoppe, Maximilian Fischer, Najib Ben Khaled, Maximilian Jörgens, Jens Ricke, Johannes Rueckel, Bastian Oliver Sabel   +14 more
doaj   +1 more source