Artificial Intelligence Medical Compendium

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

Showing 651 to 660 of 159,571 articles

A generative model uses healthy and diseased image pairs for pixel-level chest X-ray pathology localization.

Nature biomedical engineering Jul 14, 2025
Medical artificial intelligence (AI) offers potential for automatic pathological interpretation, but a practicable AI model demands both pixel-level accuracy and high explainability for diagnosis. The construction of such models relies on substantial...
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Integrated bioinformatics and machine learning reveal key genes and immune mechanisms associated with uremia.

Scientific reports Jul 14, 2025
Uremia is a serious complication of end-stage chronic kidney disease, closely associated with immune imbalance and chronic inflammation. However, its molecular mechanisms remain largely unclear. In this study, we analyzed transcriptomic data from the...
Humans Machine Learning Gene Expression Profiling Transcriptome ROC Curve Gene Regulatory Networks Computational Biology Databases, Genetic Uremia
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Cybersecurity Should be a Routine Component of Healthcare Provider Education.

ANZ journal of surgery Jul 14, 2025
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Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification.

Journal of chemical theory and computation Jul 14, 2025
In this study, we propose a Kernel-PCA model designed to capture structure-function relationships in a protein. This model also enables the ranking of reaction coordinates according to their impact on protein properties. By leveraging machine learnin...
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The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential.

Aesthetic plastic surgery Jul 14, 2025
BACKGROUND: Driven by advancements in deep learning, surgical robots, and predictive modeling technologies, the integration of artificial intelligence (AI) and plastic surgery has expanded rapidly. Although AI shows the potential to enhance precision...
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HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning

arXiv Jul 14, 2025
Vertical Federated Learning (VFL) enables an orchestrating active party to perform a machine learning task by cooperating with passive parties that provide additional task-related features for the same training data entities. While prior research h...
Cryptography and Security
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Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response.

Nature communications Jul 14, 2025
The immune response to tumour development is frequently targeted with therapeutics but remains largely unexplored in diagnostics, despite being stronger for early-stage tumours. We present an immunodiagnostic platform to detect this. We identify a pa...
Humans Female Aged Adult Breast Neoplasms Biomarkers, Tumor Male Middle Aged Neoplasms Treatment Outcome Early Detection of Cancer Amino Acids
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A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

Arthritis care & research Jul 14, 2025
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies d...
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Bringing Artificial Intelligence (AI) into Health Information Seeking Behavior: A Study of AI and Information Seeking Research.

Journal of health communication Jul 14, 2025
This paper explores the impact of artificial intelligence (AI) on information seeking behavior research and practice, including the need to scrutinize existing information seeking theory, challenge the understood behavioral norms, and consider redefi...
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ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

arXiv Jul 14, 2025
Multimodal large language models (MLLMs) extend LLMs to handle images, videos, and audio by incorporating feature extractors and projection modules. However, these additional components -- combined with complex inference pipelines and heterogeneous...
Distributed, Parallel, and Cluster Computing Machine Learning
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