Imaging Informatics

Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Athanasios Zouzos, Aleksandra Milovanovic, Karin Dembrower, Fredrik Strand

JMIR AI 2023 (Aug 31); 2:e48123

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Improving Skin Cancer Diagnostics Through a Mobile App With a Large Interactive Image Repository: Randomized Controlled Trial

Gustav Gede Nervil, Niels Kvorning Ternov, Tine Vestergaard, Henrik Sølvsten, Annette Hougaard Chakera, Martin Grønnebæk Tolsgaard, Lisbet Rosenkrantz Hölmich

JMIR Dermatol 2023 (Aug 09); 6:e48357

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Factors That Affect Knowledge-Sharing Behaviors in Medical Imaging Departments in Cancer Centers: Systematic Review

Maryam Almashmoum, James Cunningham, Ohoud Alkhaldi, John Anisworth

JMIR Hum Factors 2023 (Jul 12); 10:e44327

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The Variability of Lumbar Sequential Motion Patterns: Observational Study

Inge Caelers, Toon Boselie, Wouter van Hemert, Kim Rijkers, Rob De Bie, Henk van Santbrink

JMIR Biomed Eng 2023 (Jun 20); 8:e41906

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Using a Clinical Data Warehouse to Calculate and Present Key Metrics for the Radiology Department: Implementation and Performance Evaluation

Leon Liman, Bernd May, Georg Fette, Jonathan Krebs, Frank Puppe

JMIR Med Inform 2023 (May 22); 11:e41808

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Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

In Tae Moon, Sun-Hwa Kim, Jung Yeon Chin, Sung Hun Park, Chang-Hwan Yoon, Tae-Jin Youn, In-Ho Chae, Si-Hyuck Kang

JMIR Cardio 2023 (Apr 26); 7:e45299

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A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study

Christopher J Brady, R Chase Cockrell, Lindsay R Aldrich, Meraf A Wolle, Sheila K West

J Med Internet Res 2023 (Apr 06); 25:e41233

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Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study

Agnik Banerjee, Onur Cezmi Mutlu, Aaron Kline, Saimourya Surabhi, Peter Washington, Dennis Paul Wall

JMIR Form Res 2023 (Mar 21); 7:e39917

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Exercise Training to Improve Brain Health in Older People Living With HIV: Study Protocol for a Randomized Controlled Trial

Sarah Cooley, Brittany M Nelson, Alexander Rosenow, Elizabeth Westerhaus, W Todd Cade, Dominic N Reeds, Florin Vaida, Kevin E Yarasheski, Robert H Paul, Beau M Ances

JMIR Res Protoc 2023 (Mar 21); 12:e41421

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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Maria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, Dídac Cumelles, Júlia Rodríguez-Comas, Javier García López, Mª Teresa Fernández Planas

JMIR AI 2023 (Mar 17); 2:e40702

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Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Kai Huang, Xian Wu, Yixin Li, Chengzhi Lv, Yangtian Yan, Zhe Wu, Mi Zhang, Weihong Huang, Zixi Jiang, Kun Hu, Mingjia Li, Juan Su, Wu Zhu, Fangfang Li, Mingliang Chen, Jing Chen, Yongjian Li, Mei Zeng, Jianjian Zhu, Duling Cao, Xing Huang, Lei Huang, Xing Hu, Zeyu Chen, Jian Kang, Lei Yuan, Chengji Huang, Rui Guo, Alexander Navarini, Yehong Kuang, Xiang Chen, Shuang Zhao

J Med Internet Res 2023 (Mar 16); 25:e44932

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From the Cochrane Library: Optical Coherence Tomography for Diagnosing Skin Cancer in Adults

Colin Burnette, Torunn E Sivesind, Robert Dellavalle

JMIR Dermatol 2023 (Mar 13); 6:e41355

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Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

Peng Xue, Mingyu Si, Dongxu Qin, Bingrui Wei, Samuel Seery, Zichen Ye, Mingyang Chen, Sumeng Wang, Cheng Song, Bo Zhang, Ming Ding, Wenling Zhang, Anying Bai, Huijiao Yan, Le Dang, Yuqian Zhao, Remila Rezhake, Shaokai Zhang, Youlin Qiao, Yimin Qu, Yu Jiang

J Med Internet Res 2023 (Mar 02); 25:e43832

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Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation

Thanakorn Phumkuea, Thakerng Wongsirichot, Kasikrit Damkliang, Asma Navasakulpong

JMIR Form Res 2023 (Feb 28); 7:e42324

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Comparing Smartphone Virtual Reality Exposure Preparation to Care as Usual in Children Aged 6 to 14 Years Undergoing Magnetic Resonance Imaging: Protocol for a Multicenter, Observer-Blinded, Randomized Controlled Trial

Zita van Spaendonck, Koen Pieter Leeuwenburgh, Marjolein Dremmen, Joost van Schuppen, Daniëlle Starreveld, Bram Dierckx, Jeroen S Legerstee

JMIR Res Protoc 2023 (Jan 24); 12:e41080

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Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study

Jonathan Kentley, Jochen Weber, Konstantinos Liopyris, Ralph P Braun, Ashfaq A Marghoob, Elizabeth A Quigley, Kelly Nelson, Kira Prentice, Erik Duhaime, Allan C Halpern, Veronica Rotemberg

JMIR Med Inform 2023 (Jan 18); 11:e38412

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Load-Induced Glenohumeral Translation After Rotator Cuff Tears: Protocol for an In Vivo Study

Eleonora Croci, Franziska Eckers, Corina Nüesch, Soheila Aghlmandi, Balazs Krisztian Kovacs, Jeremy Genter, Daniel Baumgartner, Andreas Marc Müller, Annegret Mündermann

JMIR Res Protoc 2022 (Dec 23); 11(12):e43769

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Levels of Autonomous Radiology

Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat

Interact J Med Res 2022 (Dec 07); 11(2):e38655

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Integration of Artificial Intelligence Into Sociotechnical Work Systems—Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review

Katharina Wenderott, Nikoloz Gambashidze, Matthias Weigl

JMIR Res Protoc 2022 (Dec 01); 11(12):e40485

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Using Magnetic Resonance Imaging During Childbirth to Demonstrate Fetal Head Moldability and Brain Compression: Prospective Cohort Study

Olivier Ami, Jean-Christophe Maran, Dominique Musset, Claude Dubray, Gérard Mage, Louis Boyer

JMIR Form Res 2022 (Nov 30); 6(11):e27421

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