Results 41 to 50 of about 54,138 (254)
eHealth and Artificial Intelligence [PDF]
Information, 2019 Artificial intelligence is changing the healthcare industry from many perspectives: diagnosis, treatment, and follow-up. A wide range of techniques has been proposed in the literature. In this special issue, 13 selected and peer-reviewed original research articles contribute to the application of artificial intelligence (AI) approaches in various real ...
Donato Impedovo, Giuseppe Pirlo
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GMS Medizinische Informatik, Biometrie und Epidemiologie, 2017 With the formulation of a claim for a national uniform medication plan, the German government has taken an important step towards optimizing the documentation of medication for multimorbid patients.
Thoma, Martin +3 more
doaj +1 more source
JMIR Aging, 2023 BackgroundMost studies on the eHealth divide among older people have compared users to nonusers and found that age, gender, and education were associated with eHealth misuse. They assumed that these characteristics were structural
Esther Brainin, Efrat Neter
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Epilepsia Open, EarlyView.Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi +10 more
wiley +1 more source
Mapping the Potential of eHealth: Empowering the Citizen through eHealth Tools and Services. Research Report presented at the eHealth Conference, Cork, Ireland, 5-6 May 2004 [PDF]
, 2004 [Introduction]. This report has been drafted with the collaboration of a wide number of European actors in eHealth. Its purpose is to provide the visitors of the eHealth 2004 Conference and Exhibition – Empowering the European Citizen Through eHealth ...
Leitner, Christine +2 more
core
Future InterneteHealth (electronic health) and mHealth (mobile health) have been rapidly evolving in recent years, offering innovative solutions to healthcare challenges [...]
Neumayer, Bernhard +2 more
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npj Digital MedicineThe rapid growth of clinical explainable AI (XAI) models raised concerns over unclear purposes and false hope regarding explanations. Currently, no standardised metrics exist for XAI evaluation.
Aida Brankovic +8 more
doaj +1 more source
JMIR Medical Education, 2022 BackgroundeHealth is increasingly becoming an indispensable part of health practice and policy-making strategies. However, the use of eHealth tools in clinical practice and the perceptions of eHealth among medical students and ...
Long Hoang Nguyen +9 more
doaj +1 more source
European Eating Disorders Review, EarlyView.ABSTRACT Objective This feasibility randomised controlled trial (RCT) evaluated Purrble, a socially assistive robot for emotion regulation, as a low‐intensity adjunct during waitlist periods in adult eating disorder services. Method Adults waiting for outpatient eating disorder treatment were randomised to four weeks of Purrble use or waitlist‐as‐usual.
Dimitri Chubinidze +5 more
wiley +1 more source
Nature Reviews Nephrology, 2020 eHealth is gaining momentum in nephrology, although evidence for its efficacy remains unclear and challenges to its widespread adoption persist. Successful integration of eHealth into kidney care will require patient engagement to develop effective interventions and issues such as data validity, regulation, oversight and adequate infrastructure to be ...
Chia-shi Wang, Elaine Ku
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