AI Medical Compendium Topic:
Delivery of Health Care

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Application of photoplethysmography signals for healthcare systems: An in-depth review.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Photoplethysmography (PPG) is a device that measures the amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn, translate into various measurements such as the variation in blood flow volume, ...

Ethical Issues of Digital Twins for Personalized Health Care Service: Preliminary Mapping Study.

Journal of medical Internet research
BACKGROUND: The concept of digital twins has great potential for transforming the existing health care system by making it more personalized. As a convergence of health care, artificial intelligence, and information and communication technologies, pe...

Design and interactive performance of human resource management system based on artificial intelligence.

PloS one
The purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant's resume during recruitment and the formulation standards of th...

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review.

Journal of medical Internet research
BACKGROUND: Significant efforts have been made to develop artificial intelligence (AI) solutions for health care improvement. Despite the enthusiasm, health care professionals still struggle to implement AI in their daily practice.

Embedded ethics: a proposal for integrating ethics into the development of medical AI.

BMC medical ethics
The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI devel...

Artificial Intelligence-Based Smart Comrade Robot for Elders Healthcare with Strait Rescue System.

Journal of healthcare engineering
A rising proportion of older people has more demand on services including hospitals, retirement homes, and assisted living facilities. Regaining control of this population's expectations will pose new difficulties for lawmakers, medical professionals...

Medicolite-Machine Learning-Based Patient Care Model.

Computational intelligence and neuroscience
This paper discusses the machine learning effect on healthcare and the development of an application named "Medicolite" in which various modules have been developed for convenience with health-related problems like issues with diet. It also provides ...

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.

The American journal of bioethics : AJOB
The application of artificial intelligence and machine learning (ML) technologies in healthcare have immense potential to improve the care of patients. While there are some emerging practices surrounding responsible ML as well as regulatory framework...