OBJECTIVES: In solving the trust issues surrounding machine learning algorithms whose reasoning cannot be understood, advancements can be made toward the integration of machine learning algorithms into mHealth applications. The aim of this paper is t...
OBJECTIVE: We aimed to evaluate the opinions of individuals aged 18 and above in our country regarding the use of artificial intelligence (AI) and robots in the field of healthcare.
The aim of the article to present the development of artificial intelligence (AI) methods and their applications in medicine and health care. Current technological development contributes to generation of large volumes of data that cannot be evaluate...
Journal of primary care & community health
Jan 1, 2024
BACKGROUND: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery.
Generative artificial intelligence (GAI) and large language models (LLM) made their fulgurant irruption in our society at all levels, inclusive in health care. Possible applications and proofs of concept are everywhere. There is without any reasonabl...
As the health care landscape evolves toward value-based care and emphasizes health-related social needs, the importance of developing health policies and digital health solutions that foster health equity and risk-based reimbursement strategies has g...
Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical innovation, promising enhanced diagnostics, streamlined processes, and improved patient care. However, this technological revolution is accompanied by in...
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