Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 211,815 articles

Machine learning prognostication in nasopharyngeal carcinoma: a european multicentre analysis of survival and risk of second malignancy.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
INTRODUCTION: Nasopharyngeal carcinoma (NPC) is rare in Europe, and emerging data suggest poorer outcomes in Caucasian patients compared with Asian populations, highlighting the need for region-specific prognostic tools. Inflammation-based biomarkers... read more 

Probiotics unveiled: bridging general health benefits to the era of precision medicine.

World journal of microbiology & biotechnology
Probiotics have long been recognized for their broad interests in regulating the immune system and promoting gut health. Recently, they have become a key component in the growing field of precision medicine. This review thoroughly examines the transi... read more 

Mapping Artificial Intelligence Applications in Dementia Caregiving: A Scoping Review of Technologies, Functions, and Evidence Gaps.

Journal of gerontological nursing
PURPOSE: As symptoms progress in people with Alzheimer's disease and related dementias (ADRD), caregivers assume increasing responsibility. The objective of the current study was to summarize evidence on artificial intelligence (AI) technologies desi... read more 

Mapping Artificial Intelligence Applications in Dementia Caregiving: A Scoping Review of Technologies, Functions, and Evidence Gaps.

Journal of gerontological nursing
PURPOSE: As symptoms progress in people with Alzheimer's disease and related dementias (ADRD), caregivers assume increasing responsibility. The objective of the current study was to summarize evidence on artificial intelligence (AI) technologies desi... read more 

Prognostic Clinical Predictive Models for Dental Caries Using Artificial Intelligence: Methodological Considerations.

Caries research
Artificial intelligence (AI) is currently used to develop clinical predictive models for dental caries. However, most prognostic models lack key methodological components. Few have been implemented in clinical practice, and even fewer have demonstrat... read more 

Machine Learning-Assisted Microwave-Microfluidic Platform for Microplastic Detection.

Environmental science & technology
Microplastics (MPs) have emerged as a critical environmental concern due to their ubiquitous presence in ecosystems and potential impacts on human health. However, conventional MP detection and identification methods are often constrained by procedur... read more 

Life-saving therapies to patients in hours - the new algorithmic digital regulatory exchange model.

International journal of pharmaceutics
The growing scale and complexity of pharmaceutical quality data across the product lifecycle are outpacing the capabilities of today's document-centric regulatory paradigm. Current processes are slow, fragmented, and resource-intensive, constrained b... read more 

Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.

PLoS computational biology
PURPOSE: Given the existing uncertainties regarding the link between Di(2-ethylhexyl) phthalate (DEHP) exposure and gastric cancer (GC) progression, this study aimed to clarify their association, identify the toxic targets of DEHP, and elucidate the ... read more 

Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.

PloS one
Owing to their remarkable proficiency in academic tasks, generative AI (GenAI) systems have been widely embraced in the education sector, stimulating debate among academics about their opportunities and challenges. However, extant studies tend to be ... read more 

Patient and physician perspectives on large language model generated responses about brain aneurysm.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery. Because LLMs are not trained in specific subspecialties or diagnoses, a better understanding of the implications, effectiveness, and use of LLMs by ... read more