AIMC Topic: Artificial Intelligence

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Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

British journal of hospital medicine (London, England : 2005)
Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing the healthcare industry by a tremendous measure, especially in the field of nursing, highlighting its great potential for application. Aside from assi...

The Benefits and Challenges of Digitally-Enabled Cardiology.

British journal of hospital medicine (London, England : 2005)
Digital health technologies, including artificial intelligence, offer immense potential to revolutionise cardiology by improving patient care, enhancing efficiency, and increasing access to specialised services. Benefits may include precision medicin...

Seeing through arthropod eyes: An AI-assisted, biomimetic approach for high-resolution, multi-task imaging.

Science advances
Arthropods have intricate compound eyes and optic neuropils, exhibiting exceptional visual capabilities. Combining the strengths of digital imaging with the features of natural arthropod visual systems offers a promising approach to harness wide-angl...

Assessment of various artificial intelligence applications in responding to technical questions in endodontic surgery.

BMC oral health
BACKGROUND: The objective of this study was to evaluate the performance of ScholarGPT, ChatGPT-4o and Google Gemini in responding to queries pertaining to endodontic apical surgery, a subject that demands advanced specialist knowledge in endodontics.

Increasing the ethnic diversity of senior leadership within the English National Health Service: using an artificial intelligence approach to evaluate inclusive recruitment strategies in hospital settings.

Human resources for health
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive workplace, but Black and Minority Ethnic (BME) representation in senior leadership roles remains limited. To address this, a large multi-hospital acute N...

Challenging cases of hyponatremia incorrectly interpreted by ChatGPT.

BMC medical education
BACKGROUND: In clinical medicine, the assessment of hyponatremia is frequently required but also known as a source of major diagnostic errors, substantial mismanagement, and iatrogenic morbidity. Because artificial intelligence techniques are efficie...

Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction.

Scientific reports
The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and processing in critical care settings. Given the pivotal role of ventilators, accurately predicting extubation outcomes is essential to optimize patient c...

Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS.

Scientific reports
Chronic kidney disease is a persistent ailment marked by the gradual decline of kidney function. Its classification primarily relies on the estimated glomerular filtration rate and the existence of kidney damage. The kidney disease improving global o...

Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.

Journal of medical Internet research
BACKGROUND: As the US Food and Drug Administration (FDA)-approved use of artificial intelligence (AI) for medical imaging rises, radiologists are increasingly integrating AI into their clinical practices. In lung cancer screening, diagnostic AI offer...

Clinical Efficacy of Multimodal Exercise Telerehabilitation Based on AI for Chronic Nonspecific Low Back Pain: Randomized Controlled Trial.

JMIR mHealth and uHealth
BACKGROUND: Exercise therapy is strongly recommended as a treatment for chronic nonspecific low back pain (CNSLBP). However, therapist-guided exercise therapy requires significant medical resources. Ordinary digital telerehabilitation affects efficac...