Artificial Intelligence Medical Compendium

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

Showing 9,781 to 9,790 of 208,614 articles

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 

A topological fingerprint encodes motor skill at rest.

The Journal of neuroscience : the official journal of the Society for Neuroscience
In this study, we investigated whether the architecture of brain interactions at rest maintains a representation of individual behavioral skills. Specifically, we aimed to identify a minimal set of topological features that capture an electrophysiolo... read more 

Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training.

Annals of family medicine
PURPOSE: While point-of-care ultrasound (POCUS) has been integrated into daily practice by general practitioners (GPs) in some countries, there is a paucity of literature documenting its use by Chinese GPs. Additionally, artificial intelligence (AI)-... read more 

Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning.

Journal of environmental management
Data-driven models have increasingly been used as useful tools for process simulation in urban wastewater treatment plants (WWTPs), but their lack of interpretability and limited generalization hinder their application in practical engineering scenar... read more 

The 'neat' and 'messy' in task-dependent neural geometry and computation.

Trends in neurosciences
To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their 'neat' features: neuronal population activity enco... read more 

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies.

Pain management nursing : official journal of the American Society of Pain Management Nurses
OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chronic pain (CP) and to evaluate its consistency as a metabolic biomarker across diverse populations. DESIGN: A cross-sectional and retrospective cohort... read more