AI Medical Compendium Topic

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Delivery of Health Care

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From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine.

Pediatric research
In recent years, data have become the main driver of medical innovation. With increased availability and decreased price of storage and computing power, the potential for improvement in care is enormous. Many data-driven explorations have started. Ho...

Cost drivers for benign hysterectomy within a health care system: Influence of patient, perioperative, and hospital factors.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: To identify patient, perioperative, and hospital factors that drive total hospital charges for benign hysterectomy.

Evaluation of deep learning models in contactless human motion detection system for next generation healthcare.

Scientific reports
Recent decades have witnessed the growing importance of human motion detection systems based on artificial intelligence (AI). The growing interest in human motion detection systems is the advantages of automation in the monitoring of patients remotel...

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.

Cell reports. Medicine
Healthcare has well-known challenges with safety, quality, and effectiveness, and many see artificial intelligence (AI) as essential to any solution. Emerging applications include the automated synthesis of best-practice research evidence including s...

Advances in Drug Design and Development for Human Therapeutics Using Artificial Intelligence-I.

Biomolecules
Artificial intelligence (AI) has emerged as a key player in modern healthcare, especially in the pharmaceutical industry for the development of new drugs and vaccine candidates [...].

Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators.

International journal of environmental research and public health
There is a large proliferation of complex data-driven artificial intelligence (AI) applications in many aspects of our daily lives, but their implementation in healthcare is still limited. This scoping review takes a theoretical approach to examine t...

Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models.

Computational intelligence and neuroscience
The huge number of network traffic data, the abundance of available network features, and the diversity of cyber-attack patterns mean that intrusion detection remains difficult even though many earlier efforts have succeeded in building the Internet ...

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...