AI Medical Compendium Topic:
Delivery of Health Care

Clear Filters Showing 431 to 440 of 1500 articles

Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world.

Experimental biology and medicine (Maywood, N.J.)
This editorial article aims to highlight advances in artificial intelligence (AI) technologies in five areas: Collaborative AI, Multimodal AI, Human-Centered AI, Equitable AI, and Ethical and Value-based AI in order to cope with future complex socioe...

Artificial intelligence in elderly healthcare: A scoping review.

Ageing research reviews
The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologies in elderly healthcare worldwide. However, in the advancement of AI technologies, there is currently a lack of clarity about the types and roles of A...

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.

Journal of developmental and behavioral pediatrics : JDBP
Technological breakthroughs, together with the rapid growth of medical information and improved data connectivity, are creating dramatic shifts in the health care landscape, including the field of developmental and behavioral pediatrics. While medica...

Artificial intelligence for oral and dental healthcare: Core education curriculum.

Journal of dentistry
OBJECTIVES: Artificial intelligence (AI) is swiftly entering oral health services and dentistry, while most providers show limited knowledge and skills to appraise dental AI applications. We aimed to define a core curriculum for both undergraduate an...

Artificial Intelligence in Health: Enhancing a Return to Patient-Centered Communication.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
The medical environment is on the verge of a dramatic transformation as artificial intelligence (AI) evolves. With the inevitable shift toward AI in health care delivery, there are concerns around its implementation, including ethics, privacy, data r...

Unsupervised machine learning methods and emerging applications in healthcare.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Unsupervised machine learning methods are important analytical tools that can facilitate the analysis and interpretation of high-dimensional data. Unsupervised machine learning methods identify latent patterns and hidden structures in high-dimensiona...

Artificial intelligence for prediction of response to cancer immunotherapy.

Seminars in cancer biology
Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors for solving complex tasks with minimal human intervention, including machine learning and deep learning. The use of AI in medicine improves health-car...

Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills.

International journal of medical informatics
BACKGROUND: Alongside the promise of improving clinical work, advances in healthcare artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose of this study is to examine the issue of deskilling from the perspe...