Artificial Intelligence Medical Compendium

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

Showing 10,141 to 10,150 of 208,952 articles

Artificial intelligence policy among nursing journals.

Nursing outlook
BACKGROUND: The rapid integration of generative artificial intelligence (AI) into scholarly work is reshaping nursing publication standards. PURPOSE: This study aimed to examine nursing journal policies governing the use of AI. METHODS: A cross-secti... read more 

Staffing, workflow, and operational models in virtual nursing and remote safety observation: A scoping review.

Nursing outlook
BACKGROUND: Virtual nursing and remote safety observation have emerged as critical nurse-led workforce innovations, yet standardized evidence on staffing and operational models remains limited and inconsistently reported. PURPOSE: To identify the pri... read more 

Machine learning for survival prediction after brain tumor stereotactic radiosurgery: A systematic review and meta-analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
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Navigating the regulatory landscape of herbal medicines: A global comparison of India, China, Europe, the United States and Japan.

Journal of Ayurveda and integrative medicine
The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary greatly, leading to variations in quality, safety and efficacy. Varying legal frameworks, insufficient quality control and gaps in post-market surveillan... read more 

A Voyage on Computer Aided Intelligent Algorithms for the Segmentation of Brain Tissues for Neurodisorder Diagnosis.

The International journal of neuroscience
Neurodisorders pose a considerable burden to global health, frequently requiring early treatment and diagnosis to avoid irreversible cognitive and motor impairments. Segmentation of brain tissue is an essential task in neurodiagnostics due to its ina... read more 

AI-Driven Precision Learning in Neurosurgical Residency: Integrating Predictive Analytics Into the RCKaS Framework.

Journal of surgical education
BACKGROUND: Competency-based neurosurgical education requires not only structured assessment but also adaptive learning systems capable of detecting individual progress patterns. The recurrence checkpoint: knowledge and skills (RCKaS) model provides ... read more 

Differences in Safety Risks Across Languages in Health-Relevant Queries: Vulnerability Analysis of Large Language Model Responses.

JMIR formative research
BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly used to support health-related queries and decision-making. However, these models can be "jailbroken" through adversarial prompts that bypass safety filters and elicit harmful ... read more 

[Emerging classifications of cardiometabolic risk in obesity].

Archivos de cardiologia de Mexico
Obesity, historically defined by body mass index and waist circumference, is a major risk factor for cardiometabolic complications; however, these indicators do not capture the phenotypic heterogeneity or the underlying pathophysiology. Adipose dysfu... read more 

Multicentre prospective cohort study to develop and validate a machine learning-based model for predicting 6-month all-cause mortality in elderly patients with advanced chronic obstructive pulmonary disease in China: study protocol.

BMJ open
INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality prediction, overtreatment and delayed palliative care. Existing prediction models are limited and lack appli... read more 

Explainability in context: calibrating appropriate trust and reliance in artificial intelligence.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND AND SIGNIFICANCE: Predictive artificial intelligence (AI) promises to transform care delivery, enhance patient safety, and improve health outcomes. Realizing these benefits will require careful design, implementation, and monitoring strate... read more