AIMC Topic: Delivery of Health Care

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Applying artificial intelligence and digital health technologies, Viet Nam.

Bulletin of the World Health Organization
PROBLEM: Direct application of digital health technologies from high-income settings to low- and middle-income countries may be inappropriate due to challenges around data availability, implementation and regulation. Hence different approaches are ne...

Artificial intelligence in healthcare and education.

British dental journal
Artificial intelligence (AI) is rapidly transforming the healthcare and medical and dental education sectors. With advancements in AI technology and its integration into routine tasks, the field of healthcare and education is rapidly evolving. This a...

Artificial intelligence and assisted reproductive technologies: 2023. Ready for prime time? Or not.

Fertility and sterility
Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. ...

Daring discourse: artificial intelligence in pain medicine, opportunities and challenges.

Regional anesthesia and pain medicine
Artificial intelligence (AI) tools are currently expanding their influence within healthcare. For pain clinics, unfettered introduction of AI may cause concern in both patients and healthcare teams. Much of the concern stems from the lack of communit...

Opportunities for artificial intelligence in healthcare and in vitro fertilization.

Fertility and sterility
Artificial intelligence (AI) is understandably garnering an increased share of voice in the general and specialized media. The recent release of several generative AI products has added "touchable" context to fears of the potential negative effects o...

Automated approach for quality assessment of RDF resources.

BMC medical informatics and decision making
INTRODUCTION: The Semantic Web community provides a common Resource Description Framework (RDF) that allows representation of resources such that they can be linked. To maximize the potential of linked data - machine-actionable interlinked resources ...

FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT.

Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery
The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment...

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare.

Journal of cancer research and clinical oncology
BACKGROUND AND OBJECTIVES: Skin conditions in humans can be challenging to diagnose. Skin cancer manifests itself without warning. In the future, these illnesses, which have been an issue for many, will be identified and treated. With the rapid expan...

The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) and digital health technological innovations from startup companies used in clinical practice can yield better health outcomes, reduce health care costs, and improve patients' experience. However, the integrat...