Computer-Aided Diagnosis

Articles published in 2023 in this theme: 21 (scroll down to load remaining articles)

2023

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Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Exams for Medical Diagnosis in People With Skin, Neurological, and Pulmonary Diseases: Protocol for a Systematic Review

Giulia Osório Santana, Rodrigo de Macedo Couto, Rafael Maffei Loureiro, Brunna Carolinne Rocha Silva Furriel, Edna Terezinha Rother, Joselisa Péres Queiroz de Paiva, Lucas Reis Correia

JMIR Res Protoc 2023 (Dec 28); 12:e48544

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Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study

Ah Ra Lee, Hojoon Park, Aram Yoo, Seok Kim, Leonard Sunwoo, Sooyoung Yoo

JMIR Med Inform 2023 (Dec 06); 11:e53058

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Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy

Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Daniel Duck-Jin Hwang

J Med Internet Res 2023 (Nov 29); 25:e48142

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Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis

Alaa Abd-alrazaq, Rawan AlSaad, Manale Harfouche, Sarah Aziz, Arfan Ahmed, Rafat Damseh, Javaid Sheikh

J Med Internet Res 2023 (Nov 08); 25:e48754

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Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

Vy Ho, Cati Brown Johnson, Ilies Ghanzouri, Saeed Amal, Steven Asch, Elsie Ross

JMIR Cardio 2023 (Nov 06); 7:e44732

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The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study

Naoki Ito, Sakina Kadomatsu, Mineto Fujisawa, Kiyomitsu Fukaguchi, Ryo Ishizawa, Naoki Kanda, Daisuke Kasugai, Mikio Nakajima, Tadahiro Goto, Yusuke Tsugawa

JMIR Med Educ 2023 (Nov 02); 9:e47532

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AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

Enrico de Koning, Yvette van der Haas, Saguna Saguna, Esmee Stoop, Jan Bosch, Saskia Beeres, Martin Schalij, Mark Boogers

JMIR Cardio 2023 (Oct 31); 7:e51375

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Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Hae Min Jeong, Gwang Ho Baik, Jae Hoon Jeong, Sigmund Dick, Gi Hun Lee

J Med Internet Res 2023 (Oct 30); 25:e50448

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A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study

Mingxing Lei, Bing Wu, Zhicheng Zhang, Yong Qin, Xuyong Cao, Yuncen Cao, Baoge Liu, Xiuyun Su, Yaosheng Liu

J Med Internet Res 2023 (Oct 23); 25:e47590

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Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study

Se Young Kim, Jinseok Park, Hojin Choi, Martin Loeser, Hokyoung Ryu, Kyoungwon Seo

J Med Internet Res 2023 (Oct 20); 25:e48093

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Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Daniel Velazquez-Diaz, Juan E Arco, Andres Ortiz, Verónica Pérez-Cabezas, David Lucena-Anton, Jose A Moral-Munoz, Alejandro Galán-Mercant

J Med Internet Res 2023 (Oct 20); 25:e47346

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ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation

Takanobu Hirosawa, Ren Kawamura, Yukinori Harada, Kazuya Mizuta, Kazuki Tokumasu, Yuki Kaji, Tomoharu Suzuki, Taro Shimizu

JMIR Med Inform 2023 (Oct 09); 11:e48808

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Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study

Shubham Parab, Jerry Boster, Peter Washington

JMIR Form Res 2023 (Sep 29); 7:e49898

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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study

Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

JMIR Public Health Surveill 2023 (Sep 07); 9:e47095

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Smartphone App–Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study

Ken Nagino, Yuichi Okumura, Yasutsugu Akasaki, Kenta Fujio, Tianxiang Huang, Jaemyoung Sung, Akie Midorikawa-Inomata, Keiichi Fujimoto, Atsuko Eguchi, Shokirova Hurramhon, Alan Yee, Maria Miura, Mizu Ohno, Kunihiko Hirosawa, Yuki Morooka, Akira Murakami, Hiroyuki Kobayashi, Takenori Inomata

J Med Internet Res 2023 (Aug 03); 25:e42638

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Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence–Driven Automated History–Taking System: Pilot Cross-Sectional Study

Yukinori Harada, Shusaku Tomiyama, Tetsu Sakamoto, Shu Sugimoto, Ren Kawamura, Masashi Yokose, Arisa Hayashi, Taro Shimizu

JMIR Form Res 2023 (Aug 02); 7:e49034

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Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Seng Hansun, Ahmadreza Argha, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

J Med Internet Res 2023 (Jul 03); 25:e43154

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Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Jasper L Selder, Henryk Jan Te Kolste, Jos Twisk, Marlies Schijven, Willem Gielen, Cornelis P Allaart

J Med Internet Res 2023 (May 26); 25:e44642

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Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study

Aurora Constantin, Malcolm Atkinson, Miguel Oscar Bernabeu, Fiona Buckmaster, Baljean Dhillon, Alice McTrusty, Niall Strang, Robin Williams

JMIR Hum Factors 2023 (May 25); 10:e40887

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User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

Yeganeh Shahsavar, Avishek Choudhury

JMIR Hum Factors 2023 (May 17); 10:e47564

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