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Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

This section details our research methodology investigating variations in optometrists’ decision-making. It begins with an in-depth explanation of the data collection process, emphasizing the criteria and methods used for selection. Subsequently, the stages of data refinement and processing are outlined. Optometrist interviews are discussed, covering outreach strategies, interview platforms, and participant demographics.

Faisal Ghaffar, Nadine M. Furtado, Imad Ali, Catherine Burns

JMIR Med Inform 2025;13:e63109

Methods Used in Co-Creation Within the Health CASCADE Co-Creation Database and Gray Literature: Systematic Methods Overview

Methods Used in Co-Creation Within the Health CASCADE Co-Creation Database and Gray Literature: Systematic Methods Overview

There is a growing recognition of co-creation as a valuable methodology, yet, to date, there is no common practice or standardized approach [1,11]. Co-creation has increasing traction in terms of involving stakeholders, but the extent to which this creates a fundamental change in practices is still unclear, and there is a strong potential that it will remain tokenistic [12]. Major challenges remain and need to be confronted to make co-creation trustworthy and unlock its full potential [1,2,11-13].

Danielle Marie Agnello, George Balaskas, Artur Steiner, Sebastien Chastin

Interact J Med Res 2024;13:e59772

Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review

Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review

Our methodology, grounded in a scoping review framework and encompassing interdisciplinary databases, is thorough. The diverse team of researchers involved in this study will analyze and interpret findings, which are expected to stimulate further discussions and guide future research, particularly focusing on AI applications for vulnerable adults requiring palliative and hospice care.

Selen Bozkurt, Soraya Fereydooni, Irem Kar, Catherine Diop Chalmers, Sharon L Leslie, Ravi Pathak, Anne Walling, Charlotta Lindvall, Karl Lorenz, Tammie Quest, Karleen Giannitrapani, Dio Kavalieratos

JMIR Res Protoc 2024;13:e56353

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

In this study, we assessed related studies by their health care applications, CDSS functionality, AI methodology, and clinical implementation with the goal of providing the state of the art of studies, as well as summarizing advantages, limitations, and possible future directions. Overall, we have identified 30 related studies published between 1994 and 2022 with an upward trend. There was a notable increase starting in 2021.

Xinnian Lin, Chen Liang, Jihong Liu, Tianchu Lyu, Nadia Ghumman, Berry Campbell

J Med Internet Res 2024;26:e54737

Measuring Relationship Influences on Romantic Couples’ Cancer-Related Behaviors During the COVID-19 Pandemic: Protocol for a Longitudinal Online Study of Dyads and Cancer Survivors

Measuring Relationship Influences on Romantic Couples’ Cancer-Related Behaviors During the COVID-19 Pandemic: Protocol for a Longitudinal Online Study of Dyads and Cancer Survivors

Dyadic research, in which both members of a dyad (eg, a romantic couple) are assessed on the same or similar measures, is an important methodology that allows for a better understanding of how individuals in a relationship influence one another’s health. Dyadic methods can estimate the degree of correspondence (ie, similarity) in health behaviors and behavioral correlates between 2 members of a dyad.

Jennifer M Bowers, Chloe O Huelsnitz, Laura A Dwyer, Laurel P Gibson, Tanya Agurs-Collins, Rebecca A Ferrer, Amanda M Acevedo

JMIR Res Protoc 2024;13:e48516

Assessing Message Deployment During Public Health Emergencies Through Social Media: Empirical Test of Optimizing Content for Effective Dissemination

Assessing Message Deployment During Public Health Emergencies Through Social Media: Empirical Test of Optimizing Content for Effective Dissemination

This study is also limited by its quantitative methodology and its cultural specificity. To understand users’ more nuanced experience, we recommend that future research include a qualitative component in the methodology that explores how users from different backgrounds and identities consume videos, not just those whom Facebook identifies as young or old, female or male. Furthermore, our study was limited to Facebook users in Odisha, India.

Paola Pascual-Ferrá, Neil Alperstein, Julia Burleson, Amelia M Jamison, Ananya Bhaktaram, Sidharth Rath, Rohini Ganjoo, Satyanarayan Mohanty, Daniel J Barnett, Rajiv N Rimal

J Med Internet Res 2024;26:e50871