Persuasive technologies for modifying food habits: a review of mindless, reflective, and social approaches to eating behavior change [0.03%]
Amon Rapp
Amon Rapp
Eating habits are central to health and well-being, yet promoting lasting dietary change remains extremely challenging. In recent years, persuasive technologies have emerged as potential supports, leveraging personal data made available by ...
Ethical integration of patient-reported outcomes and digital biomarkers in AI healthcare models: an expert consensus framework [0.03%]
Joana Seringa,João V Cordeiro,Rui Santana et al.
Joana Seringa et al.
Background: Alongside expected benefits, several ethical concerns arise from Artificial Intelligence (AI) based models. From the design to the implementation and subsequent evaluation, it is crucial to map potential ethic...
Development of a generative AI agent for family support in implementing family-based treatment for children and adolescents with anorexia nervosa [0.03%]
Mana Hanzawa,Joe Hasei,Ayumi Okada et al.
Mana Hanzawa et al.
Introduction: Family-based treatment (FBT) is a first-line psychotherapy for children and adolescents with anorexia nervosa (AN). However, families must understand the principles of FBT, provide meal support, and manage t...
Pedro Elkind Velmovitsky,Luk Arbuckle,Paraskevi Papadopoulou
Pedro Elkind Velmovitsky
Yasir Hussain,Muhammad Asad Zaheer,Ayaz Muhammad Khan et al.
Yasir Hussain et al.
Depression is a complex psychiatric disorder that affects neural functioning, cognition, emotion, and behavior, making objective assessment a persistent clinical challenge. Traditional diagnostic methods depend on subjective interpretation,...
Correction: Artificial intelligence assessment of valvular disease and ventricular function by a single echocardiography view [0.03%]
Lior Fisher,Michael Fiman,Ella Segal et al.
Lior Fisher et al.
[This corrects the article DOI: 10.3389/fdgth.2025.1684933.]. Keywords: artificial intelligence; echocardiog...
Published Erratum
Frontiers in digital health. 2026 Mar 9:8:1815054. DOI:10.3389/fdgth.2026.1815054 2026
Correction: Advanced EEG signal classification for neural prosthetic devices using metaheuristic and deep learning techniques [0.03%]
Thippagudisa Kishore Babu,Damodar Reddy Edla,Suresh Dara et al.
Thippagudisa Kishore Babu et al.
[This corrects the article DOI: 10.3389/fdgth.2025.1706660.]. Keywords: EEG signal classification; coati opt...
Published Erratum
Frontiers in digital health. 2026 Mar 9:8:1795848. DOI:10.3389/fdgth.2026.1795848 2026
Digital therapy using dichoptic visual perceptual learning to improve stereopsis in children with intermittent exotropia [0.03%]
Eun Namgung,Hyeongsuk Ryu,Jin Woong Lee et al.
Eun Namgung et al.
Background: Intermittent exotropia impairs binocular vision and stereopsis in children, and visual perceptual learning (VPL) with dichoptic stimulation offers a potential therapy. This prospective exploratory study aimed ...
Analysis of intellectual property strategies across different categories of digital therapeutics [0.03%]
Tomoki Maeda,Hiroshi Suzuki,Chikako Saotome
Tomoki Maeda
Advances in digital technology and the coronavirus disease (COVID-19) pandemic have accelerated the digital transformation of healthcare. Digital therapeutics (DTx), which deliver evidence-based interventions through digital means to treat ...
A digital twin framework for predicting and simulating type 2 diabetes onset using retrospective lifestyle data [0.03%]
Mahreen Kiran,Ying Xie,Graham Ball et al.
Mahreen Kiran et al.
Introduction: Type 2 Diabetes Mellitus (T2DM) is a rising global health concern, heavily influenced by modifiable lifestyle and psychosocial factors. However, most predictive tools focus on biomedical markers and rely on ...