Artificial Intelligence Medical Compendium

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

Showing 571 to 580 of 159,289 articles

The Power of Hellmann-Feynman Theorem: Kohn-Sham DFT Energy Derivatives with Respect to the Parameters of the Exchange-Correlation Functional at Linear Cost.

The journal of physical chemistry. A Jul 13, 2025
Efficient methods for computing derivatives with respect to the parameters of scientific models are crucial for applications in machine learning. These methods are important when training is done using gradient-based optimization algorithms or when t...
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Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 13, 2025
Transition state (TS) search is crucial for illuminating chemical reaction mechanisms but remains the major bottleneck in automated discovery because of the high computational cost. Recently, machine learning interatomic potentials (MLIPs) and genera...
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Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance.

Discover oncology Jul 13, 2025
Endocervical adenocarcinoma (ECA) the fatal and intrusive subtype of cervical carcinoma is on rise from the last decade. Its improper detection leads to worst clinical outcomes that urges the discovery of novel biomarkers. Therefore, we proposed insi...
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DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences

arXiv Jul 13, 2025
Federated learning enables collaborative machine learning while preserving data privacy. However, the rise of federated unlearning, designed to allow clients to erase their data from the global model, introduces new privacy concerns. Specifically, ...
Machine Learning Artificial Intelligence
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AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)

arXiv Jul 13, 2025
Pneumonia is a leading cause of mortality in children under five, requiring accurate chest X-ray diagnosis. This study presents a machine learning-based Pediatric Chest Pneumonia Classification System to assist healthcare professionals in diagnosin...
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.

Scientific reports Jul 13, 2025
Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream gene expression and modulating cellular processes. In this study, we conducted a comprehensive analysis of TF gene sets to define the molecular subtype...
Gene Expression Regulation, Neoplastic Biomarkers, Tumor Humans Transcription Factors Brain Neoplasms Prognosis Gene Regulatory Networks Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Gene Expression Profiling Mutation Protein Interaction Maps Glioma Basic Helix-Loop-Helix Transcription Factors
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A Mixture of Linear Corrections Generates Secure Code

arXiv Jul 13, 2025
Large language models (LLMs) have become proficient at sophisticated code-generation tasks, yet remain ineffective at reliably detecting or avoiding code vulnerabilities. Does this deficiency stem from insufficient learning about code vulnerabiliti...
Cryptography and Security Artificial Intelligence
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Tailored travel medicine: advancing personalised travel risk assessment through decision support tools.

Journal of travel medicine Jul 13, 2025
This editorial explores how clinical decision support systems, artificial intelligence, and behavioural profiling can enable personalised travel health advice, transitioning from static checklists to dynamic, traveller-specific recommendations that s...
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Machine learning-based preoperative prediction of mutation status in adult gliomas using clinical features.

Neurological research Jul 13, 2025
BACKGROUND: As isocitrate dehydrogenase (IDH) mutation status represents a critical prognostic factor in adult gliomas, there is a demand for a straightforward but effective predictive model to facilitate rapid preoperative diagnosis.
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Perovskite Neuromorphic Engine for Transformer Architectures.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 13, 2025
Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by employing memristive devices. It supports analog multiply-and-accumulation (MAC) operation in a compact and highly parallel manner, which can significa...
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