AI Applications in Biomedical Engineering

Artificial Intelligence in Diabetic Kidney Disease Research: Bibliometric Analysis From 2006 to 2024

Xingyuan Li, Liming Xiao, Fenghao Yang, Fang Liu

JMIR Diabetes 2026 (Jan 09); 11:e72616

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Noise-Resilient Bioacoustics Feature Extraction Methods and Their Implications on Audio Classification Performance: Systematic Review

Geofrey Owino, Bernard Shibwabo

JMIR Biomed Eng 2025 (Dec 16); 10:e80089

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Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation

Peter Sarvari, Zaid Al-fagih, Alexander Abou-Chedid, Paul Jewell, Rosie Taylor, Arouba Imtiaz

JMIR Biomed Eng 2025 (Nov 10); 10:e66691

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A Machine Learning–Based Scoring System to Identify High Immunoactivity Microsatellite Stability Tumors by Quantifying Similarity to Microsatellite Instability-High Tumors in Colorectal Cancers: Development and Quantitative Study

Hongkai Yan, Li Jiang, Yaqi Li, Fengchong Wang, Shaobo Mo, Weiqi Sheng, Dan Huang, Junjie Peng

JMIR Form Res 2025 (Oct 16); 9:e66960

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Estimation of Brachial-Ankle Pulse Wave Velocity With Hierarchical Regression Model From Wrist Photoplethysmography and Electrocardiographic Signals: Method Design

Chih-I Ho, Chia-Hsiang Yen, Yu-Chuan Li, Chiu-Hua Huang, Jia-Wei Guo, Pei-Yun Tsai, Hung-Ju Lin, Tzung-Dau Wang

JMIR Biomed Eng 2025 (Aug 26); 10:e58756

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Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Jiayu Ni, Yue You, Xiaohe Wu, Xueke Chen, Jiaying Wang, Yuan Li

J Med Internet Res 2025 (Aug 14); 27:e73516

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Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Mihir Tandon, Nitin Chetla, Adarsh Mallepally, Botan Zebari, Sai Samayamanthula, Jonathan Silva, Swapna Vaja, John Chen, Matthew Cullen, Kunal Sukhija

JMIR Biomed Eng 2025 (Apr 23); 10:e67481

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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development

Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

J Med Internet Res 2025 (Jan 30); 27:e58760

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Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

Shreeram Athreya, Ashwath Radhachandran, Vedrana Ivezić, Vivek R Sant, Corey W Arnold, William Speier

JMIR Biomed Eng 2024 (Dec 17); 9:e58911

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Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Russell Jeter, Raymond Greenfield, Stephen N Housley, Igor Belykh

JMIR Biomed Eng 2024 (Oct 07); 9:e56980

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Artificial Intelligence–Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study

Youngjin Cho, Minjae Yoon, Joonghee Kim, Ji Hyun Lee, Il-Young Oh, Chan Joo Lee, Seok-Min Kang, Dong-Ju Choi

J Med Internet Res 2024 (Jul 03); 26:e52139

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Clinical Simulation in the Regulation of Software as a Medical Device: An eDelphi Study

Fiona O'Driscoll, Niki O'Brien, Chaohui Guo, Matthew Prime, Ara Darzi, Saira Ghafur

JMIR Form Res 2024 (Jun 25); 8:e56241

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Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study

Yukinori Harada, Tetsu Sakamoto, Shu Sugimoto, Taro Shimizu

JMIR Form Res 2024 (May 17); 8:e53985

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Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania

Kahabi Ganka Isangula, Rogers John Haule

JMIR Res Protoc 2024 (Apr 23); 13:e54388

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Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study

Ali Kargarandehkordi, Christopher Slade, Peter Washington

JMIR Res Protoc 2024 (Mar 25); 13:e55615

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AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices

Ariel Yuhan Ong, Henry David Jeffry Hogg, Aditya U Kale, Priyal Taribagil, Ashley Kras, Eliot Dow, Trystan Macdonald, Xiaoxuan Liu, Pearse A Keane, Alastair K Denniston

JMIR Res Protoc 2024 (Mar 14); 13:e52602

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The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis

Alaa Abd-alrazaq, Mohannad Alajlani, Reham Ahmad, Rawan AlSaad, Sarah Aziz, Arfan Ahmed, Mohammed Alsahli, Rafat Damseh, Javaid Sheikh

J Med Internet Res 2024 (Jan 31); 26:e52622

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