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Social Media Potential and Impact on Changing Behaviors and Actions in Skin Health Promotion: Systematic Review
Social Media Potential and Impact on Changing Behaviors and Actions in Skin Health Promotion: Systematic Review
Background: Social media is used as a tool for information exchange, entertainment, education, and intervention. Intervent...
US State Public Health Agencies' Use of Twitter From 2012 to 2022: Observational Study
US State Public Health Agencies' Use of Twitter From 2012 to 2022: Observational Study
Background: Twitter (subsequently rebranded as X) is acknowledged by US health agencies, including the US Centers for Dise...
The Virtual Client Experience Survey for Mental Health and Addictions: Revalidation of a Survey to Measure Client and Family Experiences of Virtual Care
The Virtual Client Experience Survey for Mental Health and Addictions: Revalidation of a Survey to Measure Client and Family Experiences of Virtual Care
Background: The onset of the COVID-19 pandemic precipitated a rapid shift to virtual care in health care settings, inclusi...
The Association Between Internet Addiction and the Risk of Suicide Attempts in Chinese Adolescents Aged 11-17 Years: Prospective Cohort Study
The Association Between Internet Addiction and the Risk of Suicide Attempts in Chinese Adolescents Aged 11-17 Years: Prospective Cohort Study
Background: Suicide is a critical public health issue in adolescents worldwide. Internet addiction may play a role in the ...
Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study
Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased m...
Recruitment of Young Gay, Bisexual, and Other Men Who Have Sex With Men for a Web-Based Human Papillomavirus Vaccination Intervention: Differences in Participant Characteristics and Study Engagement by Recruitment Source in a Randomized Controlled Trial
Recruitment of Young Gay, Bisexual, and Other Men Who Have Sex With Men for a Web-Based Human Papillomavirus Vaccination Intervention: Differences in Participant Characteristics and Study Engagement by Recruitment Source in a Randomized Controlled Trial
Background: Young gay, bisexual, and other men who have sex with men have been referred to as a “hard-to-reach” or “hidden...
Optimizing Virtual Follow-Up Care: Realist Evaluation of Experiences and Perspectives of Patients With Breast and Prostate Cancer
Optimizing Virtual Follow-Up Care: Realist Evaluation of Experiences and Perspectives of Patients With Breast and Prostate Cancer
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understandin...
Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis
Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis
Background: In recent years, with the rapid development of machine learning (ML), it has gained widespread attention from ...
Association Between Digital Front Doors and Social Care Use for Community-Dwelling Adults in England: Cross-Sectional Study
Association Between Digital Front Doors and Social Care Use for Community-Dwelling Adults in England: Cross-Sectional Study
Background: Requests for public social care support can be made through an online portal. These digital “front doors” can ...
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study
Background: Hospitals use triage systems to prioritize the needs of patients within available resources. Misclassification...
Apps and Digital Resources for Child Neurodevelopment, Mental Health, and Well-Being: Review, Evaluation, and Reflection on Current Resources
Apps and Digital Resources for Child Neurodevelopment, Mental Health, and Well-Being: Review, Evaluation, and Reflection on Current Resources
Background: An increase in the prevalence of neurodevelopmental conditions worldwide, alongside resource constraints withi...
Application of Large Language Models in Medical Training Evaluation—Using ChatGPT as a Standardized Patient: Multimetric Assessment
Application of Large Language Models in Medical Training Evaluation—Using ChatGPT as a Standardized Patient: Multimetric Assessment
Background: With the increasing interest in the application of large language models (LLMs) in the medical field, the feas...
Commentary on “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line”
Commentary on “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line”
This commentary is unconventional because I am not an academic peer with the authors, and I am not a credentialed practiti...
Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation
Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation
Background: Advanced technologies are becoming increasingly accessible in rehabilitation. Current research suggests techno...
Platform-Based Patient-Clinician Digital Health Interventions for Care Transitions: Scoping Review
Platform-Based Patient-Clinician Digital Health Interventions for Care Transitions: Scoping Review
Background: Care transitions are complex and can make patients vulnerable to adverse events. Poor communication among clin...
Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review
Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been ide...
Influencers in Policy Fields on Social Media: Global Longitudinal Study of Dietary Sodium Reduction Posts, 2006-2022
Influencers in Policy Fields on Social Media: Global Longitudinal Study of Dietary Sodium Reduction Posts, 2006-2022
Background: Excessive sodium intake is a major concern for global public health. Despite multiple dietary guidelines, popu...
Use of Extrinsic Motivators to Improve the BMI of Obese or Overweight Adolescents: Systematic Review
Use of Extrinsic Motivators to Improve the BMI of Obese or Overweight Adolescents: Systematic Review
Background: The prevalence of overweight and obesity is increasing at an alarming rate in children and adolescents worldwi...
The Effectiveness of Video Animations as a Tool to Improve Health Information Recall for Patients: Systematic Review
The Effectiveness of Video Animations as a Tool to Improve Health Information Recall for Patients: Systematic Review
Background: Access to clear and comprehensible health information is crucial for patient empowerment, leading to improved ...
Factors That Influence Young Adults’ Preferences for Virtual Reality Exergames in a Weight Control Setting: Qualitative Study
Factors That Influence Young Adults’ Preferences for Virtual Reality Exergames in a Weight Control Setting: Qualitative Study
Background: Obesity could compromise people’s health and elevate the risk of numerous severe chronic conditions and premat...
Development and Validation of a Nomogram-Based Model to Predict Primary Hypertension Within the Next Year in Children and Adolescents: Retrospective Cohort Study
Development and Validation of a Nomogram-Based Model to Predict Primary Hypertension Within the Next Year in Children and Adolescents: Retrospective Cohort Study
Background: Primary hypertension (PH) poses significant risks to children and adolescents. Few prediction models for the r...
Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration
Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration
Background: Large language models have shown remarkable efficacy in various medical research and clinical applications. Ho...
Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study
Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study
Background: Private-part skin diseases (PPSDs) can cause a patient’s stigma, which may hinder the early diagnosis of these...
Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis
Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential...
Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023
Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023
Background: The development of wearable solutions for tracking upper limb motion has gained research interest over the pas...
AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study
AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study
Background: Structured and standardized documentation is critical for accurately recording diagnostic findings, treatment ...
Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review
Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review
Background: Mobile health (mHealth) interventions have gained popularity in augmenting psychiatric care for adults with ps...
Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis
Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis
Background: Lumbar spinal stenosis (LSS) is a major cause of pain and disability in older individuals worldwide. Although ...
Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
 
Authors’ Reply: Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
Authors’ Reply: Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
 
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