AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Delivery of Health Care

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Advancing AI in healthcare: A comprehensive review of best practices.

Clinica chimica acta; international journal of clinical chemistry
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) Ethical AI; 2) Explainable AI; 3) Health Equity and Bias in AI; 4) Sponso...

Algorithmic bias in artificial intelligence is a problem-And the root issue is power.

Nursing outlook
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care.

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision.

Health policy (Amsterdam, Netherlands)
Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores the need for rigorous and continuous evaluation and...

Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare.

IEEE/ACM transactions on computational biology and bioinformatics
Modern Healthcare cyberphysical systems have begun to rely more and more on distributed AI leveraging the power of Federated Learning (FL). Its ability to train Machine Learning (ML) and Deep Learning (DL) models for the wide variety of medical field...

Revolutionising Impacts of Artificial Intelligence on Health Care System and Its Related Medical In-Transparencies.

Annals of biomedical engineering
The application of artificial intelligence (AI) in the field of medicine has revolutionised various sectors of the health care system, including robotics surgery, biotechnology, pharmaceutical, evidence-based medicine and advanced research and transp...

ChatGPT: The transformative influence of generative AI on science and healthcare.

Journal of hepatology
In an age where technology is evolving at a sometimes incomprehensibly rapid pace, the liver community must adjust and learn to embrace breakthroughs with an open mind in order to benefit from potentially transformative influences on our science and ...

Fairness of artificial intelligence in healthcare: review and recommendations.

Japanese journal of radiology
In this review, we address the issue of fairness in the clinical integration of artificial intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of AI, progresses, concerns have arisen regarding the ...

Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions.

Sensors (Basel, Switzerland)
Cyber-physical or virtual systems or devices that are capable of autonomously interacting with human or non-human agents in real environments are referred to as social robots. The primary areas of application for biomedical technology are nursing hom...

ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System.

Journal of digital imaging
Breast cancer (BC) is the most widely found disease among women in the world. The early detection of BC can frequently lessen the mortality rate as well as progress the probability of providing proper treatment. Hence, this paper focuses on devising ...