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JMIR Formative Research|July 3, 2026
Digital Cognitive Behavioral Therapy for Older Adults With Symptoms of Depression: Feasibility Cohort StudyKhadicha Amarti, Mieke H J Schulte, Annet Kleiboer, et al.Internet Interventions|January 19, 2026
Improving adherence to an online intervention for low mood by a virtual coach or personalized motivational feedback messages: A three-arm pilot randomized controlled trialKhadicha Amarti, Marketa Ciharova, Simon Provoost, et al.JMIR Research Protocols|October 25, 2022
Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility StudiesKhadicha Amarti, Mieke H J Schulte, Annet Kleiboer, et al.Frontiers in Digital Health|January 2, 2023
E-mental health implementation in inpatient care: Exploring its potential and future challengesEva Van Assche, Bert Bonroy, Marc Mertens, et al.Biological Psychiatry|June 12, 2024
Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic ReviewMarketa Ciharova, Khadicha Amarti, Ward van Breda, et al.Health (London, England : 1997)|February 13, 2026
Does digital mental health live up to its promise? An international study among people experiencing anxiety, carers and healthcare professionalsM Morgiève, L Beauvallet, M Duliere, et al.Frontiers in Psychiatry|June 30, 2025
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learnedMarketa Ciharova, Khadicha Amarti, Ward van Breda, et al.Pageof 1