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Self-Care Program as a Tool for Alleviating Anxiety and Loneliness and Promoting Satisfaction With Life in High School Students and Staff: Randomized Survey Study

Self-Care Program as a Tool for Alleviating Anxiety and Loneliness and Promoting Satisfaction With Life in High School Students and Staff: Randomized Survey Study

The guided tools included an experience to relax, meditate, affirm, breathe, rejuvenate, and self-observe. The program details are available in Figure 1. Participants who provided consent to participate in the study were randomly picked by a web-based team generator tool to be in group A (Heartfulness group) and group B (control group: waitlist for Heartfulness group) [32].

Priya Iyer, Lina Iyer, Nicole Carter, Ranjani Iyer, Amy Stirling, Lakshmi Priya, Ushma Sriraman

JMIR Form Res 2024;8:e56355

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

In recent years, wearable activity trackers have become ubiquitous tools, widely adopted for tracking and enhancing physical activity and other lifestyle behaviors, helping to mitigate the risk of chronic diseases [3]. These devices measure a plethora of activity metrics such as steps taken, distance covered, energy expenditure, physical activity intensities, and sleep patterns [4].

Ben Singh, Sebastien Chastin, Aaron Miatke, Rachel Curtis, Dorothea Dumuid, Jacinta Brinsley, Ty Ferguson, Kimberley Szeto, Catherine Simpson, Emily Eglitis, Iris Willems, Carol Maher

JMIR Mhealth Uhealth 2024;12:e56972

Evaluation of AI-Driven LabTest Checker for Diagnostic Accuracy and Safety: Prospective Cohort Study

Evaluation of AI-Driven LabTest Checker for Diagnostic Accuracy and Safety: Prospective Cohort Study

A notable instance of AI’s application is evident in the emergence of clinical decision support systems (CDSSs), direct tools designed to streamline health care decision-making [3]. Laboratory tests are essential in modern health care, providing valuable insight into a patient’s health status and improving the accuracy of diagnosing medical conditions. The interpretation of laboratory test results is a complex process requiring medical expertise and knowledge.

Dawid Szumilas, Anna Ochmann, Katarzyna Zięba, Bartłomiej Bartoszewicz, Anna Kubrak, Sebastian Makuch, Siddarth Agrawal, Grzegorz Mazur, Jerzy Chudek

JMIR Med Inform 2024;12:e57162

Leveraging Feedback From Families of Children With Autism to Create Digital Support for Service Navigation: Descriptive Study

Leveraging Feedback From Families of Children With Autism to Create Digital Support for Service Navigation: Descriptive Study

Unfortunately, most technological tools, including apps, are not culturally responsive [36]. To increase the cultural responsiveness of technological tools, it is important to garner input from individuals with different identities (eg, English and Spanish-speaking), acquire knowledge about different user experiences, and tailor features to the experiences of individuals [37].

Meghan Burke, Chak Li, Waifong Catherine Cheung, Adriana Kaori Terol, Amanda Johnston, Stephen M Schueller

JMIR Form Res 2024;8:e56043

Developing the DIGIFOOD Dashboard to Monitor the Digitalization of Local Food Environments: Interdisciplinary Approach

Developing the DIGIFOOD Dashboard to Monitor the Digitalization of Local Food Environments: Interdisciplinary Approach

Artificial intelligence tools can be used to collect data and merge with databases to provide a snapshot of the nutritional quality across the food landscape. A systematic review has evaluated 13 publicly available interactive data-driven dashboards as strategies for nutrition surveillance [19], including examples such as John Hopkins University’s Food Systems Dashboard [20] and the Global Food and Nutrition Security Dashboard [21].

Si Si Jia, Xinwei Luo, Alice Anne Gibson, Stephanie Ruth Partridge

JMIR Public Health Surveill 2024;10:e59924

An Approach to Potentially Increasing Adoption of an Artificial Intelligence–Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design

An Approach to Potentially Increasing Adoption of an Artificial Intelligence–Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design

Inappropriately introducing AI in the clinical encounter could impact its perceived usefulness, which could further deter the willingness and uptake of AI-enabled tools by primary care clinicians [14,15]. For the context of this research, the users are primary care health care providers (eg, primary care physicians, and nurse practitioners) in Ontario, Canada.

Krizia Mae Francisco, Catherine M Burns

JMIR Res Protoc 2024;13:e54365

Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review

Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review

The following basic information was included: the first author, year of publication, country, kind of endoscopy, detection, followed guidelines, registered number, number of included studies in the meta-analyses, outcomes, included study types in the meta-analyses, and tools for assessing the risk of the Bias. Then, we collected outcome information, including sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve.

Bowen Zha, Angshu Cai, Guiqi Wang

JMIR Med Inform 2024;12:e56361