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Table of Contents

January 2023

Cover

Figure of both machine learning and human classifications of ventricular scar quantification. Navidi et al.

Image Credit: Navidi et al.

Research Articles

Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients

Zeinab Navidi, Jesse Sun, Raymond H. Chan, Kate Hanneman, Amna Al-Arnawoot, Alif Munim, Harry Rakowski, Martin S. Maron, Anna Woo, Bo Wang, Wendy Tsang

Informing antimicrobial stewardship with explainable AI

Massimo Cavallaro, Ed Moran, Benjamin Collyer, Noel D. McCarthy, Christopher Green, Matt J. Keeling

Synthetic data in health care: A narrative review

Aldren Gonzales, Guruprabha Guruswamy, Scott R. Smith

Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality

Eiichiro Kanda, Bogdan Iuliu Epureanu, Taiji Adachi, Naoki Kashihara

Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment

Milena Engelke, Jorge Simões, Carsten Vogel, Stefan Schoisswohl, Martin Schecklmann, Stella Wölflick, Rüdiger Pryss, Thomas Probst, Berthold Langguth, Winfried Schlee

Mi PROTECT: A personalized smartphone platform to report back results to participants of a maternal-child and environmental health research cohort program in Puerto Rico

Nancy R. Cardona Cordero, Irene Lafarga Previdi, Héctor R. Torres, Ishwara Ayala, Katherine E. Boronow, Amailie Santos Rivera, John D. Meeker, Akram Alshawabkeh, José F. Cordero, Julia Green Brody, Phil Brown, Carmen M. Vélez Vega

ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries

Rainer Tan, Ludovico Cobuccio, Fenella Beynon, Gillian A. Levine, Nina Vaezipour, Lameck Bonaventure Luwanda, Chacha Mangu, Alan Vonlanthen, Olga De Santis, Nahya Salim, Karim Manji, Helga Naburi, Lulu Chirande, Lena Matata, Method Bulongeleje, Robert Moshiro, Andolo Miheso, Peter Arimi, Ousmane Ndiaye, Moctar Faye, Aliou Thiongane, Shally Awasthi, Kovid Sharma, Gaurav Kumar, Josephine Van De Maat, Alexandra Kulinkina, Victor Rwandarwacu, Théophile Dusengumuremyi, John Baptist Nkuranga, Emmanuel Rusingiza, Lisine Tuyisenge, Mary-Anne Hartley, Vincent Faivre, Julien Thabard, Kristina Keitel, Valérie D’Acremont

Welfare technology interventions among older people living at home—A systematic review of RCT studies

Zada Pajalic, Diana Aguiar de Sousa, Benedicte Sørensen Strøm, Hilde Lausund, Grete Breievne, Sezer Kisa, Diana Saplacan, Marie Hamilton Larsen, Nina Jøranson

Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

Alan Le Goallec, Sasha Collin, M’Hamed Jabri, Samuel Diai, Théo Vincent, Chirag J. Patel

Non-equivalent, but still valid: Establishing the construct validity of a consumer fitness tracker in persons with multiple sclerosis

Ashley Polhemus, Chloé Sieber, Christina Haag, Ramona Sylvester, Jan Kool, Roman Gonzenbach, Viktor von Wyl

Examining young adults daily perspectives on usage of anxiety apps: A user study

Andreas Balaskas, Stephen M. Schueller, Anna L. Cox, Chuck Rashleigh, Gavin Doherty

Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2)

William A. Wood, Deepika Dilip, Andriy Derkach, Natalie S. Grover, Olivier Elemento, Ross Levine, Gita Thanarajasingam, John A. Batsis, Charlotte Bailey, Arun Kannappan, Steven M. Devine, Andrew S. Artz, Jennifer A. Ligibel, Ethan Basch, Erin Kent, Jacob Glass

Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging

Vasileios Nittas, Paola Daniore, Constantin Landers, Felix Gille, Julia Amann, Shannon Hubbs, Milo Alan Puhan, Effy Vayena, Alessandro Blasimme