Artificial Intelligence Medical Compendium

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

Showing 4,181 to 4,190 of 203,842 articles

Computational modelling of cell identity.

The Biochemical journal
Deciphering cell identity remains a central challenge in biology, as experimental profiling can only capture a fraction of the molecular diversity across human cell states. Computational modelling fills this gap by offering scalable predictions beyon... read more 

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

bioRxiv
T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross-cohort validations and operational gene-expression definitions are lacking. To establish a gene-expression-anchored framework for T-ALL subtyping, we... read more 

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

American journal of epidemiology
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in respiratory diseases such as tuberculosis (TB). We apply network techniques to identify transmission cl... read more 

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Brain : a journal of neurology
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and pathological characteristics. Comparisons of clinical and biomarker features within the ALS and behav... read more 

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition.

American journal of epidemiology
Machine learning is increasingly used to estimate nuisance functions in causal inference. The efficient influence function (EIF) offers a principled way to construct estimators that can incorporate machine learning with valid inference (eg, estimate ... read more 

Long-term exposure to wildfire smoke particulate matter and incident stroke: a US nationwide study.

European heart journal
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high fine particulate matter (PM2.5) concentrations. While short-term exposure has been linked to adverse cardiovascular outcomes, long-term effects remai... read more 

Impact of an Ambient AI Scribe on Medical Student Objective Structured Clinical Examination Notes: Nonrandomized Clinical Trial.

JMIR medical education
BACKGROUND: Ambient artificial intelligence (AI) scribes for chart documentation have seen rapid adoption in clinical practice, but their educational impact on medical students has not been described. OBJECTIVE: The purpose of this study was to deter... read more 

A Deep Learning-Based Predictive Algorithm for Metabolic Syndrome Detection in the U.S. Population

medRxiv
Objective To develop clinically operational, population-representative risk-score models for detecting metabolic syndrome (MetS) in U.S. adults by incorporating the NHANES survey design. Research Design and Methods We analyzed 36,812 U.S. adults from... read more 

Explainable AI and public reactions to AI-involved adverse diagnostic events: a vignette study

medRxiv
Artificial intelligence (AI) is increasingly incorporated into diagnostic decision-making, raising questions about physician responsibility following AI-involved adverse diagnostic events. Explainable AI (XAI) has been proposed to improve transparenc... read more 

Combined values alignment and epistemic verification prevent delusional reinforcement in conversational AI agents

medRxiv
Conversational AI is being deployed into medical decision support, mental-health triage, and social companionship, where reinforcement of a user's false or delusional belief can cause direct harm. Most deployed safety techniques are evaluated for fac... read more