Skip to main content
Advertisement
Table of Contents

October 2024

Cover

Fig. 1. Schematic of wearable-enabled mobile health technology for improved pediatric sepsis care. Garbern et al

Image Credit: Garbern et al

Research Articles

Automated image transcription for perinatal blood pressure monitoring using mobile health technology

Nasim Katebi, Whitney Bremer, Tony Nguyen, Daniel Phan, Jamila Jeff, Kirkland Armstrong, Paula Phabian-Millbrook, Marissa Platner, Kimberly Carroll, Banafsheh Shoai, Peter Rohloff, Sheree L. Boulet, Cheryl G. Franklin, Gari D. Clifford

Assessing generalizability of an AI-based visual test for cervical cancer screening

Syed Rakin Ahmed, Didem Egemen, Brian Befano, Ana Cecilia Rodriguez, Jose Jeronimo, Kanan Desai, Carolina Teran, Karla Alfaro, Joel Fokom-Domgue, Kittipat Charoenkwan, Chemtai Mungo, Rebecca Luckett, Rakiya Saidu, Taina Raiol, Ana Ribeiro, Julia C. Gage, Silvia de Sanjose, Jayashree Kalpathy-Cramer, Mark Schiffman

Socioeconomic and demographic patterning of family uptake of a paediatric electronic patient portal innovation

Ameenat Lola Solebo, Lisanne Horvat-Gitsels, Christine Twomey, Siegfried Karl Wagner, Jugnoo S. Rahi

Identifying older adults at risk for dementia based on smartphone data obtained during a wayfinding task in the real world

Jonas Marquardt, Priyanka Mohan, Myra Spiliopoulou, Wenzel Glanz, Michaela Butryn, Esther Kuehn, Stefanie Schreiber, Anne Maass, Nadine Diersch

Can eye-tracking help to create a new method for X-ray analysis of rheumatoid arthritis patients, including joint segmentation and scoring methods?

Baptiste Quéré, Léonie Méneur, Nathan Foulquier, Hugo Pensec, Valérie Devauchelle-Pensec, Florent Garrigues, Alain Saraux

Diagnosing skin neglected tropical diseases with the aid of digital health tools: A scoping review

Ewelina Julia Barnowska, Anil Fastenau, Srilekha Penna, Ann-Kristin Bonkass, Sophie Stuetzle, Ricky Janssen

Patient experience and barriers of using a mHealth exercise app in musculoskeletal (MSK) Physiotherapy

Jack Grodon, Christopher Tack, Laura Eccott, Mindy C. Cairns

Machine learning approaches in non-contact autofluorescence spectrum classification

Ashutosh P. Raman, Tanner J. Zachem, Sarah Plumlee, Christine Park, William Eward, Patrick J. Codd, Weston Ross

Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration

Daphne Kaklamanou, Le Nguyen, Miznah Al-Abbadey, Nick Sangala, Robert Lewis

Unsupervised clustering of longitudinal clinical measurements in electronic health records

Arshiya Mariam, Hamed Javidi, Emily C. Zabor, Ran Zhao, Tomas Radivoyevitch, Daniel M. Rotroff

Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship

Davide Ferrari, Pietro Arina, Jonathan Edgeworth, Vasa Curcin, Veronica Guidetti, Federica Mandreoli, Yanzhong Wang

Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia—A retrospective cohort study

Wenshan Li, Luke Turcotte, Amy T. Hsu, Robert Talarico, Danial Qureshi, Colleen Webber, Steven Hawken, Peter Tanuseputro, Douglas G. Manuel, Greg Huyer

Impact of observability period on the classification of COPD diagnosis timing among Medicare beneficiaries with lung cancer

Eman Metwally, Sarah E. Soppe, Jennifer L. Lund, Sharon Peacock Hinton, Caroline A. Thompson

Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation

Sooin Lee, Bryce Benson, Ashwin Belle, Richard P. Medlin, David Jerkins, Foster Goss, Ashish K. Khanna, Michael A. DeVita, Kevin R. Ward

Data as scientific currency: Challenges experienced by researchers with sharing health data in sub-Saharan Africa

Jyothi Chabilall, Qunita Brown, Nezerith Cengiz, Keymanthri Moodley

An integrative systematic review on interventions to improve layperson’s ability to identify trustworthy digital health information

Hind Mohamed, Esme Kittle, Nehal Nour, Ruba Hamed, Kaylem Feeney, Jon Salsberg, Dervla Kelly

Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data

Nowell M. Fine, Sunil V. Kalmady, Weijie Sun, Russ Greiner, Jonathan G. Howlett, James A. White, Finlay A. McAlister, Justin A. Ezekowitz, Padma Kaul

Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality

Alexander D. VanHelene, Ishaani Khatri, C. Beau Hilton, Sanjay Mishra, Ece D. Gamsiz Uzun, Jeremy L. Warner

User preferences for an mHealth app to support HIV testing and pre-exposure prophylaxis uptake among men who have sex with men in Malaysia

Lindsay Palmer, Jeffrey A. Wickersham, Kamal Gautam, Francesca Maviglia, Beverly-Danielle Bruno, Iskandar Azwa, Antoine Khati, Frederick L. Altice, Kiran Paudel, Sherry Pagoto, Roman Shrestha

A novel digital health approach to improving global pediatric sepsis care in Bangladesh using wearable technology and machine learning

Stephanie C. Garbern, Gazi Md. Salahuddin Mamun, Shamsun Nahar Shaima, Nicole Hakim, Stephan Wegerich, Srilakshmi Alla, Monira Sarmin, Farzana Afroze, Jadranka Sekaric, Alicia Genisca, Nidhi Kadakia, Kikuyo Shaw, Abu Sayem Mirza Md. Hasibur Rahman, Monique Gainey, Tahmeed Ahmed, Mohammod Jobayer Chisti, Adam C. Levine

Normalizing junk food: The frequency and reach of posts related to food and beverage brands on social media

Monique Potvin Kent, Meghan Pritchard, Christine Mulligan, Lauren Remedios

Review

Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review

Luis Filipe Nakayama, João Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Rogers Mwavu, Claudia Ju-Yi Ji Hung, Alvina Pauline Dy Santiago, Warachaya Phanphruk, Jaime S. Cardoso, Leo Anthony Celi