AIMC Topic: Telemedicine
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A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.
Muscle & nerve
Apr 2, 2025
INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous assessment of examination strengths and limitations. We set out to perform a quantitative assessment of...
[Therapeutic patient education and telemedicine in the age of artificial intelligence].
Revue de l'infirmiere
Mar 27, 2025
Since the promulgation of the July 21, 2009 law on hospital reform and patients, health and territories, known as the HPST law, therapeutic patient education (TPE) and telemedicine have become key pillars in the modernization of the healthcare system...
Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Mar 24, 2025
: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S.) has been increasing. Artificial intelligence (AI) can augment traditional qualitative research methods; little is known about its efficiency and acc...
Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust.
BMC public health
Mar 19, 2025
BACKGROUND: World Health Organization (WHO) identified noncommunicable diseases as the foremost risk to public health globally and the cause of approximately 80% of premature deaths. However, Cardiovascular diseases account for most of these prematur...
Evaluating and implementing machine learning models for personalised mobile health app recommendations.
PloS one
Mar 19, 2025
This paper focuses on the evaluation and recommendation of healthcare applications in the mHealth field. The increase in the use of health applications, supported by an expanding mHealth market, highlights the importance of this research. In this stu...
Application of the LDA model to identify topics in telemedicine conversations on the X social network.
BMC health services research
Mar 12, 2025
The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. Quite frequently, both patients and health professionals use social m...
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning.
IEEE transactions on neural networks and learning systems
Feb 28, 2025
Electronic healthcare (e-health) allows smart devices and medical institutions to collaboratively collect patients' data, which is trained by artificial intelligence (AI) technologies to help doctors make diagnosis. By allowing multiple devices to tr...
Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program.
Scientific reports
Feb 27, 2025
COPD exacerbations have a profound clinical impact on patients. Accurately predicting these events could help healthcare professionals take proactive measures to mitigate their impact. For over a decade, telEPOC, a telehealthcare program, has collect...
Building Trust with AI: How Essential is Validating AI Models in the Therapeutic Triad of Therapist, Patient, and Artificial Third? Comment on What is the Current and Future Status of Digital Mental Health Interventions?
The Spanish journal of psychology
Feb 24, 2025
Since the publication of "What is the Current and Future Status of Digital Mental Health Interventions?" the exponential growth and widespread adoption of ChatGPT have underscored the importance of reassessing its utility in digital mental health int...
Social Determinants and Health Equity Activities: Are They Connected with the Adaptation of AI and Telehealth Services in the U.S. Hospitals?
International journal of environmental research and public health
Feb 17, 2025
In recent decades, technological shifts within the healthcare sector have significantly transformed healthcare management and utilization, introducing unprecedented possibilities that elevate quality of life. Organizational factors are recognized as ...
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