AI Medical Compendium Topic

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

Health Personnel

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[Eight misconceptions about AI in healthcare].

Nederlands tijdschrift voor geneeskunde
It is of paramount importance that healthcare professionals can participate in the academic and societal debate surrounding medical AI. To realise this critical-constructive guidance of AI, it is necessary to be able to distinguish between different ...

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...

Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches.

European journal of radiology
Since recent achievements of Artificial Intelligence (AI) have proven significant success and promising results throughout many fields of application during the last decade, AI has also become an essential part of medical research. The improving data...

Explainable AI in medical imaging: An overview for clinical practitioners - Beyond saliency-based XAI approaches.

European journal of radiology
Driven by recent advances in Artificial Intelligence (AI) and Computer Vision (CV), the implementation of AI systems in the medical domain increased correspondingly. This is especially true for the domain of medical imaging, in which the incorporatio...

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...

Chat Generative Pre-trained Transformer: why we should embrace this technology.

American journal of obstetrics and gynecology
With the advent of artificial intelligence that not only can learn from us but also can communicate with us in plain language, humans are embarking on a brave new future. The interaction between humans and artificial intelligence has never been so wi...

Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.

BMJ open
INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based clinical decision support (CDS) tools can improve the quality of ...

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review.

International journal of mental health nursing
An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six data...

Artificial Intelligence in Medicine: Text Mining of Health Care Workers' Opinions.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is being increasingly adopted in the health care industry for administrative tasks, patient care operations, and medical research.

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Nature medicine
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and...