Artificial Intelligence Medical Compendium

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

Showing 35,261 to 35,270 of 222,841 articles

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Apr 7, 2026
Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinations and invasive diagnostic procedures, such as fine-needle aspiration, fine-needle biopsies, and ... read more 

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Apr 7, 2026
Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinations and invasive diagnostic procedures, such as fine-needle aspiration, fine-needle biopsies, and t... read more 

Leveraging machine learning to predict Parkinson's disease using pre-symptomatic proteomics data.

Brain : a journal of neurology Apr 7, 2026
In Parkinson's disease, non-motor symptoms precede the characteristic motor manifestations by up to 20 years. However, predicting the disease risk remains challenging. We applied machine learning to 2937 plasma proteins assayed in UK Biobank particip... read more 

Quantitative assessment of collagen architecture from routine histopathological images shows concordance with Second Harmonic Generation microscopy

medRxiv Apr 6, 2026
Collagen organisation within the tumour microenvironment plays a critical role in tumour progression and has emerged as an important structural biomarker in cancer. Second Harmonic Generation (SHG) microscopy enables label-free visualisation and quan... read more 
pathology

TELF: An End-to-End Temporal Encoder with Late Fusion for Interpretable Disease Risk Prediction from Longitudinal Real-World Data

medRxiv Apr 6, 2026
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiological research. However, contemporary transformer-based models increasingly rely on computationally intensive pre-training steps that entail processing ... read more 
health informatics

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

medRxiv Apr 6, 2026
Type 2 diabetes case reports describe complex clinical courses, but their timelines are often expressed in language that is difficult to reuse in longitudinal modeling. To address this gap, we developed a textual time-series corpus of 136 PubMed Open... read more 
endocrinology

Machine learning based prognostic model for oral squamous cell carcinoma using SEER data and external validation.

iScience Apr 6, 2026
Oral squamous cell carcinoma (OSCC) is characterized by an insidious onset, pronounced aggressiveness, and a substantial impact on patient survival. Current prognostication relies heavily on the TNM staging system, which often lacks precision. To add... read more 

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology.

European urology open science Apr 6, 2026
Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Clavien-Dindo classification and Comprehensive Complication Index are clinician-centred and interventio... read more 

Green AI architectures: Navigating the security-sustainability paradox in critical infrastructure protection.

Environmental science and ecotechnology Apr 6, 2026
Critical cyber-physical infrastructure, such as urban water distribution systems, underpins public health, economic stability, and environmental sustainability, yet faces escalating threats from sophisticated cyber-physical attacks that evade traditi... read more 

Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT.

Bone reports Apr 6, 2026
Micro-computed tomography (microCT) and high-resolution peripheral quantitative computed tomography (HRpQCT) generate three-dimensional digital images capturing bone structure and quality. Radiomic analytical approaches applied to these images extrac... read more 
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