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Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

The primary goal of this study was, therefore, to design and develop an automated NLP pipeline for extracting clinical concepts from reports on outpatients, hospitalizations, and surgeries from a single surgeon, multicenter practice. Using the pipeline, the secondary goal was to examine and evaluate therapies and complications following THA. Patients were invited to participate in the research on the direct anterior approach (DAA) of hip replacement.

Nicholas H Mast, Clara L. Oeste, Dries Hens

JMIR Med Inform 2025;13:e64705

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The Vast Potential of ChatGPT in Pediatric Surgery

surgeon

Ran Tang, Shi-qin Qi

J Med Internet Res 2024;26:e66453

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Usability, Ergonomics, and Educational Value of a Novel Telestration Tool for Surgical Coaching: Usability Study

A wireless handheld telestration device prototype, hereon referred to as the pen, was designed and manufactured to enable the user (ie, surgeon coach) to interact with the surgical display field during coaching activities in both intraoperative and postoperative settings. This prototype uses a proprietary augmented reality platform. The pen (Figure 1) consists of two main parts: (1) a motion tracker mounted to (2) a 3 D printed controller.

Parmiss Kiani, Roberta Dolling-Boreham, Mohamed Saif Hameed, Caterina Masino, Andras Fecso, Allan Okrainec, Amin Madani

JMIR Hum Factors 2024;11:e57243

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The Diagnostic Ability of GPT-3.5 and GPT-4.0 in Surgery: Comparative Analysis

A diagnosis can be made once a surgeon recognizes that a patient has these symptoms. Surgeons usually use clinical experience to make diagnoses based on patient’s symptoms, examination results, medical histories, physical signs, and intraoperative findings. This process will consume much time to occupy the workforce and will be subjective. Misdiagnoses or delays in diagnosis may occur. Innovative approaches to improve diagnostic accuracy and efficiency are needed.

Jiayu Liu, Xiuting Liang, Dandong Fang, Jiqi Zheng, Chengliang Yin, Hui Xie, Yanteng Li, Xiaochun Sun, Yue Tong, Hebin Che, Ping Hu, Fan Yang, Bingxian Wang, Yuanyuan Chen, Gang Cheng, Jianning Zhang

J Med Internet Res 2024;26:e54985

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Decision Aid for Colectomy in Recurrent Diverticulitis: Development and Usability Study

In addition, there is significant national variation in standardized colon resection ratios for recurrent diverticulitis, with surgeon density and hospital-level factors serving as the main drivers of resection as opposed to patient factors [17]. No research has examined the extent to which shared decision-making is occurring.

Alexander T Hawkins, Andrea Fa, Samuel A Younan, Srinivas Joga Ivatury, Kemberlee Bonnet, David Schlundt, Elisa J Gordon, Kerri L Cavanaugh

JMIR Form Res 2024;8:e59952

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Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

surgeon

Wilson WB Goh, Kendrick YA Chia, Max FK Cheung, Kalya M Kee, May O Lwin, Peter J Schulz, Minhu Chen, Kaichun Wu, Simon SM Ng, Rashid Lui, Tiing Leong Ang, Khay Guan Yeoh, Han-mo Chiu, Deng-chyang Wu, Joseph JY Sung

JMIR AI 2024;3:e50525

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Comparing Anesthesia and Surgery Controlled Time for Primary Total Knee and Hip Arthroplasty Between an Academic Medical Center and a Community Hospital: Retrospective Cohort Study

Location and surgeon identity were included as independent variables. The second tested association is of 4 separate multivariable regressions; however, the set of modeled independent variables changes including location, surgeon identity, and ASA classification as covariates. The third tested association is of 4 separate multivariable regressions using location, surgeon identity, and anesthetic type as covariates.

Thy B Nguyen, Nathaen Weitzel, Craig Hogan, Rachel M Kacmar, Kayla M Williamson, Jack Pattee, Vesna Jevtovic-Todorovic, Colby G Simmons, Adeel Ahmad Faruki

JMIR Perioper Med 2024;7:e45126

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Social Media Use Among Orthopedic and Trauma Surgeons in Germany: Cross-Sectional Survey Study

Further, 34.2% had already contacted an orthopedic or trauma surgeon over the internet [21]. Internet research influenced both hospital and physician choices of patients in up to 50.9% and 39.4% of cases, respectively [21]. Previous data on the user behavior of orthopedic and trauma surgeons showed that Linked In and Facebook are the most frequently used platforms [22-27], while Instagram was shown to be used more frequently by younger professionals [7].

Yasmin Youssef, Julian Scherer, Marcel Niemann, Jörg Ansorg, David Alexander Back, Tobias Gehlen

JMIR Form Res 2023;7:e45665

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An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

We compared this to our current system’s practice of estimating case duration, which is equal to the mean of the last 3 times the surgical procedure was performed, with the ability of the surgeon to change times based on their preference. The models developed were multivariable linear regression, random forest regressors, bagging regressors, and XGBoost (Extreme Gradient Boosting) regressors.

Rodney Allanigue Gabriel, Bhavya Harjai, Sierra Simpson, Austin Liu Du, Jeffrey Logan Tully, Olivier George, Ruth Waterman