AIMC Topic: Telemedicine

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Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview.

Journal of medical Internet research
BACKGROUND: Although physical activity (PA) has positive effects on health and well-being, physical inactivity is a worldwide problem. Mobile health interventions have been shown to be effective in promoting PA. Personalizing persuasive strategies im...

The Promise of Remote Patient Monitoring.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
The promise of remote patient monitoring (RPM) lies in its ability to revolutionize health care delivery by enabling continuous, real-time tracking of patient health outside traditional clinical settings. The COVID-19 pandemic accelerated the adoptio...

AI solutions for overcoming delays in telesurgery and telementoring to enhance surgical practice and education.

Journal of robotic surgery
Artificial intelligence (AI) has emerged as a transformative tool in surgery, particularly in telesurgery and telementoring. However, its potential to enhance data transmission efficiency and reliability in these fields remains unclear. While previou...

Integrating Smart Computility for Subflow Orchestration in Remote Virtual Services.

IEEE journal of biomedical and health informatics
The burgeoning domain of the metaverse has sparked significant interest from a diverse array of industries, including healthcare services. However, the metaverse and its associated applications present various challenges to existing networks. First, ...

Digital Psychiatry: Opportunities, Challenges, and Future Directions.

Journal of psychiatric practice
Recently, the field of psychiatry has experienced a transformative shift with the integration of digital tools into traditional therapeutic approaches. Digital psychiatry encompasses a wide spectrum of applications, ranging from digital phenotyping, ...

Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.

Computers in biology and medicine
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in people living with dementia (PLwD) at home, aiming to prevent hospitalizations and reduce caregiver burden. However, home sensor data is often noisy, o...

Noninvasive biometric monitoring technologies for patients with heart failure.

Heart failure reviews
Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not only impacts quality of life but also poses a significant public health burden. The majority of affected patients are admitted with signs and symptom...

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems.

Health systems and reform
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient management, and...

Intelligent wearable-assisted digital healthcare industry 5.0.

Artificial intelligence in medicine
The latest evolution of the healthcare industry from Industry 1.0 to 5.0, incorporating smart wearable devices and digital technologies, has revolutionized healthcare delivery and improved patient treatment. Integrating smart wearables such as fitnes...

[Digital health apps : How to achieve the successful integration into healthcare].

Innere Medizin (Heidelberg, Germany)
Digital health applications (apps) have been available on prescription since 2019 and offer a multitude of functions in health monitoring, symptom recognition, follow-up monitoring and patient care. The Digital Care Act from 2023 strives for a compre...