Artificial Intelligence Medical Compendium

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

Showing 31 to 40 of 6,466 articles

Mixture-of-experts graph transformers for interpretable particle collision detection.

Scientific reports Jul 31, 2025
The Large Hadron Collider at CERN produces immense volumes of complex data from high-energy particle collisions, demanding sophisticated analytical techniques for effective interpretation. Neural Networks, including Graph Neural Networks, have shown ... read more 

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi... read more 
Humans Algorithms Deep Learning Machine Learning Neural Networks, Computer Computer Security Confidentiality Image Processing, Computer-Assisted Privacy

Systematic data management for effective AI-driven decision support systems in robotic rehabilitation.

Scientific reports Jul 30, 2025
Robotic rehabilitation is becoming a standard in post-stroke physical rehabilitation, and these setups, often coupled with virtual exercises, collect a large and finely grained amount of data about patients' motor performance, in terms of kinematics ... read more 
Robotics Humans Stroke Rehabilitation Data Management Male Aged Artificial Intelligence Decision Support Systems, Clinical Machine Learning Middle Aged Female

Advanced air quality prediction using multimodal data and dynamic modeling techniques.

Scientific reports Jul 30, 2025
Accurate air quality forecasting is critical for human health and sustainable atmospheric management. To address this challenge, we propose a novel hybrid deep learning model that combines cutting-edge techniques, including CNNs, BiLSTM, attention me... read more 

Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI.

Scientific reports Jul 30, 2025
BACKGROUND: Neoadjuvant therapy plays a pivotal role in breast cancer treatment, particularly for patients aiming to conserve their breast by reducing tumor size pre-surgery. The ultimate goal of this treatment is achieving a pathologic complete resp... read more 
Radiomics Middle Aged Breast Neoplasms Magnetic Resonance Imaging Dynamic Contrast Enhanced Magnetic Resonance Imaging Contrast Media Neoadjuvant Therapy Humans Female Prognosis

Deep learning for property prediction of natural fiber polymer composites.

Scientific reports Jul 30, 2025
The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for predicting polymer properties. A literature review was conducted to show recent advances in DL applied to ... read more 

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Scientific reports Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding... read more 
Pneumonia Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed

Contrastive learning-driven framework for neuron morphology classification.

Scientific reports Jul 30, 2025
The Neuron morphology classification is a critical task in neuroscience research, as the morphological features of neurons are closely linked to the functional characteristics of neural circuits. However, traditional classification methods often stru... read more 
Neurons Models, Neurological Neural Networks, Computer Humans Algorithms Machine Learning

Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat... read more 
Algorithms Imaging, Three-Dimensional Neural Networks, Computer Humans Image Processing, Computer-Assisted Brain Neoplasms Reproducibility of Results Machine Learning Neoplasm Grading Deep Learning

Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China.

Scientific reports Jul 30, 2025
Reservoir structures have been affected due to the climate challenge, which directly affects inflow conditions and water resource management. A combined model is used in the present study for predicting inflows in the future with respect to climate c... read more 
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