Artificial Intelligence Medical Compendium

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

Showing 34,301 to 34,310 of 221,510 articles

A physic-guided YOLO framework for pavement deformation distress detection.

Scientific reports Apr 6, 2026
This research develops an automated methodology for detecting and assessing deformation pavement distress such as rutting and corrugation, using deep learning algorithms. Utilizing a dataset of road images, various YOLO algorithms were initially expl... read more 

CANSD v1.0: the first map of agricultural nitrogen surplus across China from 2000 to 2022.

Scientific data Apr 6, 2026
Under the dual challenges of global climate change and agricultural sustainability, spatially precise characterization of agricultural nitrogen surplus has become a key technical bottleneck in balancing food security and water environmental protectio... read more 

Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.

Scientific reports Apr 6, 2026
Respiratory disease classification using lung sound analysis offers a non-invasive and cost-effective diagnostic alternative to traditional imaging-based methods. This study proposes a deep learning-based optimization framework for automated respirat... read more 

Forecasting tomato production in major Asian producers: a comparative study of ARIMA, exponential smoothing, score-driven models, and XGBoost.

Scientific reports Apr 6, 2026
Tomato production is a crucial component of the agricultural sector in Asian countries. Accurate forecasting of tomato production is essential for effective agricultural planning, resource allocation, and ensuring food security in the region. This st... read more 

Advances in cataract surgery: is a new era on the horizon?

Current opinion in ophthalmology Apr 6, 2026
PURPOSE OF REVIEW: To summarize recent technological, procedural and material advances that are reshaping cataract surgery and to appraise their implications for visual outcomes, safety and global accessibility. RECENT FINDINGS: Phacoemulsification r... read more 

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

Computational biology and chemistry Apr 6, 2026
BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and drug resistance present major clinical obstacles, resulting in unfavorable patient outcomes. Protei... read more 

Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.

Ophthalmology science Apr 6, 2026
OBJECTIVE: To test the advantage of geographically diverse, multiregional training of artificial intelligence models over single-region training for detection of trachomatous inflammation-follicular (TF) across test sets from different regions. DESIG... 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
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