Artificial Intelligence Medical Compendium

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

Showing 47,141 to 47,150 of 224,199 articles

Four-electrode ECG reconstruction using anatomically grounded synthetic leads: a physiological measurement framework with hybrid CNN-transformer mapping.

Physiological measurement
The standard 12-lead electrocardiogram (ECG) remains essential for cardiac diagnosis but requires ten physical electrodes, limiting long-term and wearable monitoring applications. We developed an anatomically grounded and physiologically interpr... read more 

Toward an integrative framework for monitoring biodegradation of environmental contaminants across scales.

Current opinion in biotechnology
Organic contaminants from natural and anthropogenic sources threaten global water and food security. While bioremediation offers significant mitigation potential, tracking compound degradation in complex ecosystems remains challenging. Detection tech... read more 

Modernizing Forensic Anthropology: A Data-driven Pipeline for Human Identification and Profiling.

European journal of dentistry
Forensic odontology has traditionally relied on dental morphology and odontometric measurements for identification and profiling purposes. Innovations in imaging technologies (high-resolution two-dimensional [2D] radiography, cone-beam computed tomog... read more 

A machine learning model for prediction of early-onset neonatal sepsis in low-income and middle-income countries: development and validation study.

BMJ paediatrics open
OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neonates. Machine learning (ML) models demonstrate promise for timely diagnosis. However, current ML models primarily rely on data from high-i... read more 

Flexible Coupling of Synaptic and Intrinsic Plasticity in a Cerebellar Circuit.

The Journal of neuroscience : the official journal of the Society for Neuroscience
It is increasingly recognized that learning and memory depend, not only on changes in synaptic strength, but also on experience-dependent modifications of intrinsic neuronal excitability. However, how these two forms of plasticity interact within a n... read more 

Understanding the Brain as a Mentalizing Machine with a Symbol Grounding Function.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Social creatures can infer the mental states of others. This cognitive ability, called mentalizing, can be considered a process of inferring others' hidden states behind their actions from partially observable sensory information. The purpose of this... read more 

Automated In-line Normalization Procedure for BOLD-CVR Using the Resting-State Temporal Shift with Machine Learning.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Cerebrovascular reactivity (CVR) is commonly used to estimate hemodynamic impairment. Conventional use is best suited to unilateral vascular disease, such that CVR can be normalized to reference values from the contralateral h... read more 

Artificial intelligence in emergency musculoskeletal imaging: A critical review of current applications.

Diagnostic and interventional imaging
Artificial intelligence (AI) is increasingly shaping emergency musculoskeletal imaging, where rapid and accurate diagnosis is often challenged by high imaging volumes and time pressure. These constraints increase the risk of missed injuries and under... read more 

PAST, PRESENT and FUTURE OF LUPUS NEPHRITIS.

Expert review of clinical immunology
INTRODUCTION: Our objective is to delineate the evolution of lupus nephritis (LN) histological classifications and management, from their origins to the present histopathological framework and treatment strategies, and to consider prospective future ... read more