AIMC Topic: Delivery of Health Care

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Managing Security of Healthcare Data for a Modern Healthcare System.

Sensors (Basel, Switzerland)
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental chal...

Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (P study).

Critical care (London, England)
BACKGROUND: Patient-ventilator asynchronies are usually detected by visual inspection of ventilator waveforms but with low sensitivity, even when performed by experts in the field. Recently, estimation of the inspiratory muscle pressure (P) waveforms...

Evaluation of the Impact of the Sustainable Development Goals on an Activity Recognition Platform for Healthcare Systems.

Sensors (Basel, Switzerland)
The Sustainable Development Goals (SDGs), also known as the Global Goals, were adopted by the United Nations in 2015 as a universal call to end poverty, protect the planet and ensure peace and prosperity for all by 2030. The 17 SDGs have been designe...

The use of smart environments and robots for infection prevention control: A systematic literature review.

American journal of infection control
BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current use and role of robots and smart environments on IPC systems in nosocomial settings METHODS: The syste...

ChatGPT: Is this version good for healthcare and research?

Diabetes & metabolic syndrome
BACKGROUND AND AIMS: There have been advancements in artificial intelligence (AI) and deep learning in the past decade. Recently, OpenAI Inc. has launched a new chatbot, called ChatGPT that interacts in a conversational way and its dialogue format ma...

Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine.

EBioMedicine
Large Language Models (LLMs) are a key component of generative artificial intelligence (AI) applications for creating new content including text, imagery, audio, code, and videos in response to textual instructions. Without human oversight, guidance ...

The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions.

International journal of environmental research and public health
As health care continues to evolve and become increasingly complex, nursing education must also evolve to keep pace with the changing landscape [...].

A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer.

Sensors (Basel, Switzerland)
Lung cancer is a high-risk disease that causes mortality worldwide; nevertheless, lung nodules are the main manifestation that can help to diagnose lung cancer at an early stage, lowering the workload of radiologists and boosting the rate of diagnosi...

[Artificial intelligence: An introduction for clinicians].

Revue des maladies respiratoires
Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to ...

Artificial intelligence in uveitis: A comprehensive review.

Survey of ophthalmology
Uveitis is a disease complex characterized by intraocular inflammation of the uvea that is an important cause of blindness and social morbidity. With the dawn of artificial intelligence (AI) and machine learning integration in health care, their appl...