Artificial Intelligence Medical Compendium

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

Showing 43,111 to 43,120 of 223,853 articles

An intrusion detection model for electric vehicle supply equipment based on multi-task learning and probability transfer mechanism.

Scientific reports
With the rapid development of new energy vehicles and Internet of Things technology, new energy vehicle users have an increasing demand for electric vehicle supply equipment (EVSE). However, a large number of EVSE are currently vulnerable to remote h... read more 

SYN-OCT:A synthetic dataset of ocular optical coherence tomography images from healthy and glaucoma eyes.

Scientific data
The SYN-OCT dataset contains a total of 200,000 synthetic cross-sectional circumpapillary optical coherence tomography (OCT) images, comprising of 100,000 images from a generative image model for glaucoma eyes and 100,000 from a generative image mode... 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
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 

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

Scientific reports
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 

Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements.

Scientific data
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 

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

Scientific data
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 

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

Nature communications
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 

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

Nature communications
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 

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

Scientific data
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