Artificial Intelligence Medical Compendium

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

Showing 55,671 to 55,680 of 226,731 articles

Integrating Spectroscopy, Molecular Docking, and Machine Learning to Decipher Mycotoxin-Protein-Binding Mechanisms.

ACS applied bio materials
This study investigates the molecular interactions of two mycotoxins, ochratoxin A (OTA) and citrinin (CIT), with globular proteins, such as human serum albumin (HSA) and lysozyme (LYS), using an integrated spectroscopic, computational, and machine l... read more 

AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease.

Nature communications
Genomics, metabolomics, and proteomics offer complementary insights into cardiovascular disease (CVD) risk. Leveraging UK Biobank data, we introduce the CardiOmicScore, a multitask deep learning framework, to learn disease-specific proteomic (ProScor... read more 

AIR-LEISH: A Dataset of Giemsa-Stained Microscopy Images for AI-based Leishmania amastigotes Detection.

Scientific data
Leishmaniases is a parasitic disease caused by the Leishmania parasite, transmitted by sandflies, affecting millions worldwide. Microscopic examination remains the standard method for detecting and quantifying intracellular parasite burden in leishma... read more 

An interpretable AI system reduces false-positive MRI diagnoses by stratifying high-risk breast lesions.

Nature communications
Breast cancer diagnosis using magnetic resonance imaging remains limited by high false-positive rates and substantial inter-reader variability, especially for lesions classified as Breast Imaging Reporting and Data System (BI-RADS) category 4, often ... read more 

Quantum phase classification via partial tomography-based quantum hypothesis testing.

Scientific reports
Quantum phase classification is a fundamental problem in quantum many-body physics, traditionally approached using order parameters or quantum machine learning techniques such as quantum convolutional neural networks (QCNNs). However, these methods o... read more 

Blockchain-enabled identity management for IoT: a multi-layered defense against adversarial AI.

Scientific reports
The growing deployment of the Internet of Things (IoT), especially in critical infrastructure, has increased the need for identity systems that are scalable and robust against attacks. However, existing centralized systems have fundamental weaknesses... read more 

Municipal solid waste management forecasting using neural networks at discharge point scale.

Scientific reports
Urbanisation and population growth continue to accelerate waste generation, posing serious environmental and logistical challenges for the management of Municipal Solid Waste (MSW) management. The present study proposes a predictive framework for for... read more 

Research on structural damage identification based on temporal power flow graph network.

Scientific reports
Structural damage identification is a critical technique for ensuring the safety and reliability of large-scale civil structures. However, existing purely data-driven approaches based on deep learning still suffer from limited physical interpretabili... read more