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Telemedicine

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Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

ACS nano
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics of infectious diseases. However, the high variability in cellphone image data acquisition and the common need for l...

Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic is favoring digital transitions in many industries and in society as a whole. Health care organizations have responded to the first phase of the pandemic by rapidly adopting digital solutions and advanced technology ...

An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot.

Scientific reports
To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, a...

Usability Evaluation of User Requirement-Based Teleconsultation Robots: A Preliminary Report from South Korea.

Methods of information in medicine
BACKGROUND: Telepresence robots used to deliver a point-of-care (POC) consultation system that may provide value to enable effective decision making by healthcare providers at care sites.

Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Screening for influenza in primary care is challenging due to the low sensitivity of rapid antigen tests and the lack of proper screening tests.

Realizing 5G- and AI-based doctor-to-doctor remote diagnosis: opportunities, challenges, and prospects.

Bioscience trends
Fifth Generation (5G) mobile communications technology became available in Japan as of the end of March 2020. The Ministry of Internal Affairs and Communications (MIC) is proceeding with a plan to use 5G for a doctor-to-doctor remote diagnosis system...

Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
This study aimed to investigate the needs of medical users of telemedicine robots to encourage international cooperation and development. As the use of telemedicine expands, it is necessary to develop new systems, including robots, which consider t...

A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedicine frameworks to comply with isolation and stay-at-home regulations. Telemedicine, in various forms, has been used by patients and medical professiona...

Patients' Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis.

Journal of medical Internet research
BACKGROUND: Patients are increasingly taking an active role in their health. In doing so, they combine both mass and interpersonal media to gratify their cognitive and affective needs (ie, convergence). Owing to methodological challenges when studyin...

Digital cardiovascular care in COVID-19 pandemic: A potential alternative?

Journal of cardiac surgery
BACKGROUND: Cardiovascular patients are at increased risk of acquiring coronavirus disease 2019 (COVID-19) infection while their visit to healthcare facilities. There is a need for alternative tools for optimal monitoring and management of cardiovasc...