AIMC Topic: Delivery of Health Care

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[Patient-centered medicine in the era of artificial intelligence: what are the possible implications and risks?].

Recenti progressi in medicina
Patient-Centered Care (PCC) is currently recognized as the gold standard for the doctor-patient relationship, and numerous studies associate it with the improvement of various outcomes. However, the advent of artificial intelligence (AI) technologies...

Competing Visions for the Soul of Canada's Health and Healthcare System.

Studies in health technology and informatics
Canada's healthcare system faces a critical choice between two futures: "Cyborgville," driven by advanced medical technologies and AI, or a wellness-focused approach inspired by Blue Zones, which emphasize healthy lifestyles and environments. This co...

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

Anticancer research
The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphasizing the need for remote patient monitoring (RPM) to minimize infection risks. This review aimed to evaluate the applications of artificial intellige...

Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community.

Journal of the American Medical Informatics Association : JAMIA
INTRODUCTION: The rapid advancement of artificial intelligence (AI) has led to significant transformations in health and healthcare. As AI technologies continue to evolve, there is an urgent need to establish a unified framework that guides the desig...

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.

JAMA
IMPORTANCE: Large language models (LLMs) can assist in various health care activities, but current evaluation approaches may not adequately identify the most useful application areas.

FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine.

JAMA
IMPORTANCE: Advances in artificial intelligence (AI) must be matched by efforts to better understand and evaluate how AI performs across health care and biomedicine as well as develop appropriate regulatory frameworks. This Special Communication revi...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
With the wide application of new technologies such as large language models and generative artificial intelligence (AI) in the health care sector, artificial intelligence-assisted health care is confronted with new forms of legal risks. The algorithm...

AI for all: bridging data gaps in machine learning and health.

Translational behavioral medicine
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technolog...

The fifty shades of black: about black box AI and explainability in healthcare.

Medical law review
Artificial Intelligence (AI) is revolutionizing healthcare by enhancing patient care, diagnostics, workflows, and treatment personalization. The integration of AI in healthcare promises significant advancements and better patient outcomes. However, t...

Societal factors influencing the implementation of AI-driven technologies in (smart) hospitals.

PloS one
INTRODUCTION: The introduction of AI in healthcare promises benefits, but also faces challenges. Currently, one of these challenges is the lack of information on the societal aspects of implementing AI in healthcare. This study aims to: 1) identify w...