Decision Support for Health Professionals

Applications of Clinical Decision Support Systems in Diabetes Care: Scoping Review

Shan Huang, Yuzhen Liang, Jiarui Li, Xuejun Li

J Med Internet Res 2023 (Dec 08); 25:e51024

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Sit-to-Stand Video Analysis–Based App for Diagnosing Sarcopenia and Its Relationship With Health-Related Risk Factors and Frailty in Community-Dwelling Older Adults: Diagnostic Accuracy Study

Juan D Ruiz-Cárdenas, Alessio Montemurro, María del Mar Martínez-García, Juan J Rodríguez-Juan

J Med Internet Res 2023 (Dec 08); 25:e47873

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Internet Tool to Support Self-Assessment and Self-Swabbing of Sore Throat: Development and Feasibility Study

Mark Lown, Kirsten A Smith, Ingrid Muller, Catherine Woods, Emma Maund, Kirsty Rogers, Taeko Becque, Gail Hayward, Michael Moore, Paul Little, Margaret Glogowska, Alastair Hay, Beth Stuart, Efi Mantzourani, Christopher R Wilcox, Natalie Thompson, Nick A Francis

J Med Internet Res 2023 (Dec 08); 25:e39791

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Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study

Fabian Starnecker, Lara Marie Reimer, Leon Nissen, Marko Jovanović, Maximilian Kapsecker, Susanne Rospleszcz, Moritz von Scheidt, Johannes Krefting, Nils Krüger, Benedikt Perl, Jens Wiehler, Ruoyu Sun, Stephan Jonas, Heribert Schunkert

JMIR Cardio 2023 (Dec 08); 7:e50813

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Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Arif Budiarto, Kevin C H Tsang, Andrew M Wilson, Aziz Sheikh, Syed Ahmar Shah

JMIR AI 2023 (Dec 07); 2:e46717

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The Reporting and Methodological Quality of Systematic Reviews Underpinning Clinical Practice Guidelines Focused on the Management of Cutaneous Melanoma: Cross-Sectional Analysis

Mahnoor Khalid, Bethany Sutterfield, Kirstien Minley, Ryan Ottwell, McKenna Abercrombie, Christopher Heath, Trevor Torgerson, Micah Hartwell, Matt Vassar

JMIR Dermatol 2023 (Dec 07); 6:e43821

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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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Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study

Lindsay Dryden, Jacquelin Song, Teresa J Valenzano, Zhen Yang, Meggie Debnath, Rebecca Lin, Jane Topolovec-Vranic, Muhammad Mamdani, Tony Antoniou

JMIR Cardio 2023 (Dec 06); 7:e47262

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Survey of the Impact of Decision Support in Preoperative Management of Anemia (i-Anemia): Survey Study

Gaëtan Mignanelli, Richard Boyer, Nicolas Bonifas, Emmanuel Rineau, Yassine Moussali, Morgan Le Guen

JMIR Perioper Med 2023 (Dec 01); 6:e49186

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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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Clinical Efficacy of Nutritional Supplements in Atopic Dermatitis: Systematic Review

Isaac Weber, Emily Woolhiser, Noah Keime, Margaret Wasvary, Madeline J Adelman, Torunn E Sivesind, Robert P Dellavalle

JMIR Dermatol 2023 (Nov 29); 6:e40857

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Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study

Igor Bibi, Daniel Schaffert, Mara Blauth, Christian Lull, Jan Alwin von Ahnen, Georg Gross, Wanja Alexander Weigandt, Johannes Knitza, Sebastian Kuhn, Johannes Benecke, Jan Leipe, Astrid Schmieder, Victor Olsavszky

J Med Internet Res 2023 (Nov 28); 25:e50886

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Assessing Patient-Reported Outcomes in Routine Cancer Clinical Care Using Electronic Administration and Telehealth Technologies: Realist Synthesis of Potential Mechanisms for Improving Health Outcomes

Ramkumar Govindaraj, Meera Agar, David Currow, Tim Luckett

J Med Internet Res 2023 (Nov 28); 25:e48483

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Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

Arne Peine, Maike Gronholz, Katharina Seidl-Rathkopf, Thomas Wolfram, Ahmed Hallawa, Annika Reitz, Leo Anthony Celi, Gernot Marx, Lukas Martin

JMIR Med Inform 2023 (Nov 28); 11:e44773

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Learnings in Digital Health Design: Insights From a Pilot Web App for Structured Note-Taking for Patients With Rheumatoid Arthritis

Ujwal Srivastava, Shobha Dasari, Neha Shah

JMIR Form Res 2023 (Nov 28); 7:e49358

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A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

Thomas Savage, John Wang, Lisa Shieh

JMIR Med Inform 2023 (Nov 27); 11:e49886

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A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

Masuda Begum Sampa, Topu Biswas, Md Siddikur Rahman, Nor Hidayati Binti Abdul Aziz, Md Nazmul Hossain, Nor Azlina Ab Aziz

JMIR Diabetes 2023 (Nov 24); 8:e49113

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The Primary Prevention of Poststroke Epilepsy in Patients With Middle Cerebral Artery Infarct: Protocol for a Randomized Controlled Trial

Yu-Shiue Chen, Pi-Shan Sung, Ming-Chi Lai, Chin-Wei Huang

JMIR Res Protoc 2023 (Nov 24); 12:e49412

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Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review

Ying Wang, Nian Li, Lingmin Chen, Miaomiao Wu, Sha Meng, Zelei Dai, Yonggang Zhang, Mike Clarke

J Med Internet Res 2023 (Nov 22); 25:e46089

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Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis

Patrícia Pita Ferreira, Diogo Godinho Simões, Constança Pinto de Carvalho, Francisco Duarte, Eugénia Fernandes, Pedro Casaca Carvalho, José Francisco Loff, Ana Paula Soares, Maria João Albuquerque, Pedro Pinto-Leite, André Peralta-Santos

JMIR AI 2023 (Nov 22); 2:e40965

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