Artificial Intelligence Medical Compendium

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

Showing 37,961 to 37,970 of 223,469 articles

Necessary conditions for valid causal inference from observational data.

Critical reviews in toxicology
Observational studies often guide policy, regulation, litigation, and public health decisions. However, causal claims from such studies can be misleading if key logical and methodological requirements are not met. We synthesized insights from foundat... read more 

Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review.

Neuroradiology
BACKGROUND: Artificial intelligence (AI) and radiomics are increasingly applied in pediatric neuroradiology to enhance diagnostic precision. However, their clinical implementation remains limited due to methodological variability and lack of standard... read more 

A machine learning model to predict cancer-related fatigue: clinical discrimination using likelihood ratios.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
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Advancing plant DNA barcoding: integrating chloroplast genome sequencing, cryptic diversity discovery and machine learning.

Molecular biology reports
Accurate plant species identification underpins taxonomy, conservation, ecological monitoring, and the authentication of medicinal and food resources. While classical morphology-based approaches often struggle with cryptic or closely related taxa, DN... read more 

The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).

Neuroinformatics
This paper presents a bibliometric analysis of the fast-growing area of deep learning in neuroimaging. Using data from the Scopus database, we analyzed 12564 peer-reviewed publications originating from 102 countries, published in 2259 sources over th... read more 

Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations.

International journal of computer assisted radiology and surgery
PURPOSE: Interpretation of imaging findings based on morphological characteristics is important for diagnosing pulmonary nodules on chest computed tomography (CT) images. In this study, we constructed a visual question answering (VQA) dataset from st... read more 

A novel cuproptosis-related prognostic gene signature is identified by machine learning and integrative analyses in gliomas.

Molecular and cellular biochemistry
Recent studies have highlighted the impact of copper-induced cell death (cuproptosis) on cancer progression, prognosis, and treatment, but it remains unclear whether cuproptosis-related genes (CRGs) play any role in the glioma tumor microenvironment ... read more 

Database of Chemicals for Organophosphorus (DCOP): An Information Application Platform for Organophosphorus Compounds.

Analytical chemistry
Organophosphorus compounds (OPCs) are widely applied in diverse industries, yet their continuous release across the full life cycle poses significant risks to human health and ecosystems. Current research on OPCs is largely limited to organophosphate... read more