Artificial Intelligence Medical Compendium

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

Showing 54,021 to 54,030 of 225,930 articles

Comparison of choroidal hypertransmission and retinal pigment epithelium loss for quantification of geographic atrophy across commonly used SD-OCT devices.

Scientific reports Feb 4, 2026
To compare the consistency of choroidal hypertransmission (HT) and retinal pigment epithelium (RPE) loss area measurements among three commonly used spectral-domain optical coherence tomography (OCT) devices and assess their robustness for monitoring... read more 

Evaluation of an artificial intelligence model for the identification of obstructive hydrocephalus on computed tomography of the head.

European radiology Feb 4, 2026
OBJECTIVE: Obstructive hydrocephalus is a critical radiographic finding requiring emergent treatment. Its identification on head CT by an AI model could facilitate sooner life-saving interventions, although there are common co-occurring findings, inc... read more 

Development and interpretation of a dual-energy CT-based deep learning radiomics model for predicting new cerebral ischemic lesions after carotid artery stenting: a multicenter study.

European radiology Feb 4, 2026
OBJECTIVES: Early recognition of individuals at elevated risk for new ipsilateral ischemic lesions (NIILs) after carotid artery stenting (CAS) is vital for planning effective preventive interventions. The aim of this study was to develop a deep learn... read more 

Automated diagnosis of plus form and early stages of ROP using deep learning models.

Scientific reports Feb 4, 2026
Retinopathy of Prematurity (ROP) represents a critical ophthalmological pathology affecting premature infants, with established associations to low birth weight (BW) and early gestational age (GA). Elevated risk of severe ROP, which can result in irr... read more 

Enhancing diagnostic safety with low iodine, low radiation CTPA classification using deep learning.

Scientific reports Feb 4, 2026
Pulmonary embolism (PE) is a life-threatening condition for which computed tomography pulmonary angiography (CTPA) is the standard diagnostic modality. However, conventional CTPA protocols require relatively high iodine contrast and radiation doses, ... read more 

Correction: Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps.

Scientific reports Feb 4, 2026
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Comparison of artificial intelligence and multidisciplinary team recommendations in the management of colorectal cancer liver metastases.

Scientific reports Feb 4, 2026
Multidisciplinary teams (MDTs) are central to treatment planning for colorectal cancer liver metastases (CRCLM) but require time and consistent access to expertise. Chat-based large language models (LLMs) such as ChatGPT can generate recommendations ... read more 

Recent Trends in the Development and Clinical Translation of Polymer-based Targeted Therapeutic Nanoparticle.

AAPS PharmSciTech Feb 4, 2026
Polymeric nanoparticles are a state-of-the-art innovation in nanomedicine, offering site-specific drug delivery, an improved pharmacokinetic profile, and a reduced systemic toxic profile. These nano systems usually range in size between 10 to 100 nm,... read more 

Retraction Note: Identification of soil texture and color using machine learning algorithms and satellite imagery.

Scientific reports Feb 4, 2026
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Sharing approaches in predictive genomics across animals, plants and humans.

Nature genetics Feb 4, 2026
Genomic prediction has become central to human, animal and plant biology, enabling quantitative inference of how genetic variation shapes complex traits. Although these domains share statistical foundations, such as linear mixed models, Bayesian regr... read more 
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