Artificial Intelligence Medical Compendium

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

Showing 43,021 to 43,030 of 223,853 articles

A meta learning and task adaptive approach for drug target affinity prediction.

Nature communications Mar 10, 2026
Accurate and robust prediction of drug-target affinity (DTA) plays a critical role in drug discovery. While deep learning has advanced DTA prediction, existing methods struggle with limited training data and poor generalization. In this study, we pro... read more 

A multimodal retinal image dataset for diabetic retinopathy detection using foundation models.

Scientific data Mar 10, 2026
Diabetic Retinopathy (DR), a leading cause of preventable blindness worldwide, underscores the urgent need for robust AI-driven diagnostic tools. Although various deep learning models for retinal imaging have emerged, their evaluation remains constra... read more 

BDSet: A First-ever BDS Satellite-based PPP Augmentation Dataset Since 2023.

Scientific data Mar 10, 2026
The BDS precise point positioning (PPP) service broadcasts state space representation (SSR) corrections via PPP-B2b augmentation signals. To maximize research potentials of the service, this study develops a first-ever BDS PPP-B2b augmentation datase... read more 

Ultra-efficient physical field computing by complex-valued network quantization.

Nature communications Mar 10, 2026
Neural network quantization is an established technique for compressing real-valued models, but its application to complex-valued networks-essential in electromagnetics, acoustics, and quantum physics-remains underdeveloped. Conventional quantization... read more 

A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images.

Nature communications Mar 10, 2026
Deep learning has demonstrated remarkable abilities in restoring fluorescence microscopy images degraded by noise, blur, or undersampling. However, most existing models are task-specific and trained on limited, homogeneously distributed data, which r... read more 

qsGW quasiparticle and GW-BSE excitation energies of 133,885 molecules.

Scientific data Mar 10, 2026
Machine learning applications in the chemical sciences, especially when based on neural networks, critically depend on the availability of large quantities of high-quality data. As they provide excellent accuracy for both charged and neutral excitati... read more 

Integrated spatio-temporal modeling with hybrid graph convolutions and the graph fourier neural operator for traffic prediction.

Scientific reports Mar 10, 2026
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Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements.

Scientific data Mar 10, 2026
In this study, we developed a machine learning-based global daily SWE product (SWEML) with 0.25° (~25 km) resolution for 1980-2020. Using k-means clustering, in-situ SWE measurements were grouped into 14 clusters, and a random forest model was traine... read more 

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image.

Scientific reports Mar 10, 2026
Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate detection is critical for improving patient outcomes. Computed tomography (CT) scans are widely used to diagnose lung cancer; however, the accuracy of di... read more 

Integrated framework utilizing scene text detection and recognition techniques for enhancing point of interest extraction from name boards in all Indic languages.

Scientific reports Mar 10, 2026
This paper focused on enhancing text recognition, script identification, language classification, and point of interest (POI) extraction from images captured by Mobile Mapping Systems (MMS). The initiative was undertaken to improve the existing Compu... read more 
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