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Table of Contents

February 2025

Cover

Visual representation of the simulation suite and overall summary of experimental design of Festor et al’s intensive care simulation study.

Image Credit: Festor et al.

Research Articles

Step-by-step causal analysis of EHRs to ground decision-making

Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

Comparison of anonymization techniques regarding statistical reproducibility

David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella, Romain Jegou

Addressing technology-mediated stigma in sexual health-related digital platforms: Insights from design team members

Abdul-Fatawu Abdulai, Amanda Fuchsia Howard, Paul J. Yong, Leanne M. Currie

Community perspectives regarding brain-computer interfaces: A cross-sectional study of community-dwelling adults in the UK

Austen El-Osta, Mahmoud Al Ammouri, Shujhat Khan, Sami Altalib, Manisha Karki, Eva Riboli-Sasco, Azeem Majeed

From print to perspective: A mixed-method analysis of the convergence and divergence of COVID-19 topics in newspapers and interviews

Qingqing Chen, Andrew Crooks, Adam J. Sullivan, Jennifer A. Surtees, Laurene Tumiel-Berhalter

Children’s digital privacy on fast-food and dine-in restaurant mobile applications

Christine Mulligan, Grace Gillis, Lauren Remedios, Christopher Parsons, Laura Vergeer, Monique Potvin Kent

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers

Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong, Abdul-Salaam Gaddafi

Beyond the screen: Exploring the dynamics of social media influencers, digital food marketing, and gendered influences on adolescent diets

Ashley Amson, Mariangela Bagnato, Lauren Remedios, Meghan Pritchard, Soulene Sabir, Grace Gillis, Elise Pauzé, Christine White, Lana Vanderlee, David Hammond, Monique Potvin Kent

Forecasting mental states in schizophrenia using digital phenotyping data

Thierry Jean, Rose Guay Hottin, Pierre Orban

Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings

Ioana Duta, Symon M. Kariuki, Anthony K. Ngugi, Angelina Kakooza Mwesige, Honorati Masanja, Daniel M. Mwanga, Seth Owusu-Agyei, Ryan Wagner, J Helen Cross, Josemir W. Sander, Charles R. Newton, Arjune Sen, Gabriel Davis Jones

Related Articles

The Neuropathy Tracker—A mobile health application for ambulatory and self-administred assessment of neuropathy

Jakob E. Bardram, Mads Westermann, Julia G. Makulec, Martin Ballegaard

Diabetes-focused food recommender system (DFRS) to enabling digital health

Esmael Ahmed, Mohammed Oumer, Medina Hassan

Chatbot -assisted self-assessment (CASA): Co-designing an AI -powered behaviour change intervention for ethnic minorities

Tom Nadarzynski, Nicky Knights, Deborah Husbands, Cynthia Graham, Carrie D. Llewellyn, Tom Buchanan, Ian Montgomery, Alejandra Soruco Rodriguez, Chimeremumma Ogueri, Nidhi Singh, Evan Rouse, Olabisi Oyebode, Ankit Das, Grace Paydon, Gurpreet Lall, Anathoth Bulukungu, Nur Yanyali, Alexandra Stefan, Damien Ridge

Safety of human-AI cooperative decision-making within intensive care: A physical simulation study

Paul Festor, Myura Nagendran, Anthony C. Gordon, Aldo A. Faisal, Matthieu Komorowski

Opinions

Artificial intelligence as a tool for improving health literacy in kidney care

Jing Miao, Charat Thongprayoon, Kianoush B. Kashani, Wisit Cheungpasitporn