Artificial Intelligence Medical Compendium

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

Showing 1,141 to 1,150 of 162,273 articles

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

European journal of medical research Jul 24, 2025
BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in critically ill patients, marked by symmetrical respiratory and limb muscle weakness, which adversely affects long-term outcomes. Early identification of hi... read more 
ROC Curve Muscle Weakness Middle Aged Risk Assessment Male Humans Machine Learning Intensive Care Units Female Risk Factors Aged Prognosis Critical Illness Algorithms Prospective Studies

Vox-MMSD: Voxel-wise Multi-scale and Multi-modal Self-Distillation for Self-supervised Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics Jul 24, 2025
Many deep learning methods have been proposed for brain tumor segmentation from multi-modal Magnetic Resonance Imaging (MRI) scans that are important for accurate diagnosis and treatment planning. However, supervised learning needs a large amount of ... read more 

Multipath Interference Suppression in Indirect Time-of-Flight Imaging via a Novel Compressed Sensing Framework

arXiv Jul 24, 2025
We propose a novel compressed sensing method to improve the depth reconstruction accuracy and multi-target separation capability of indirect Time-of-Flight (iToF) systems. Unlike traditional approaches that rely on hardware modifications, complex m... read more 
Signal Processing Computer Vision and Pattern Recognition

Sequential Learning in the Dense Associative Memory.

Neural computation Jul 24, 2025
Sequential learning involves learning tasks in a sequence and proves challenging for most neural networks. Biological neural networks regularly succeed at the sequential learning challenge and are even capable of transferring knowledge both forward a... read more 

C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams

arXiv Jul 24, 2025
Wearable accelerometers and gyroscopes encode fine-grained behavioural signatures that can be exploited to re-identify users, making privacy protection essential for healthcare applications. We introduce C-AAE, a compressive anonymizing autoencoder... read more 
Machine Learning Cryptography and Security Signal Processing

VGG-EffAttnNet: Hybrid Deep Learning Model for Automated Chili Plant Disease Classification Using VGG16 and EfficientNetB0 With Attention Mechanism.

Food science & nutrition Jul 24, 2025
Chili plant diseases significantly impact global agriculture, necessitating accurate and rapid classification for effective management. The study introduces VGG-EffAttnNet, a hybrid deep learning model combining VGG16 and EfficientNetB0 with attentio... read more 

Multi-modal deep learning for intelligent landscape design generation: A novel CBS3-LandGen model.

PloS one Jul 24, 2025
With the acceleration of the global urbanization process, landscape design is facing increasingly complex challenges. Traditional manual design methods are gradually unable to meet the needs for efficiency, precision, and sustainability. To address t... read more 
Conservation of Natural Resources Urbanization Humans Deep Learning Models, Theoretical

A natural language processing approach to support biomedical data harmonization: Leveraging large language models.

PloS one Jul 24, 2025
BACKGROUND: Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. Automated methods ... read more 
Japan Alzheimer Disease Biomedical Research Natural Language Processing Semantics Large Language Models Humans Language

Evaluating GPT-4's role in critical patient management in emergency departments.

PloS one Jul 24, 2025
INTRODUCTION: Recent advancements in artificial intelligence (AI) have introduced tools like ChatGPT-4, capable of interpreting visual data, including ECGs. In our study,we aimed to investigate the effectiveness of GPT-4 in interpreting ECGs and mana... read more 
Humans Artificial Intelligence Electrocardiography Emergency Service, Hospital Female Male

FedGAN: Federated diabetic retinopathy image generation.

PloS one Jul 24, 2025
Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. We propose FedGAN, a federated learning framework for synthetic medical image generation ... read more 
Humans Diabetic Retinopathy Image Processing, Computer-Assisted Tomography, X-Ray Computed Algorithms Deep Learning
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