AIMC Topic: Algorithms

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AI in Point-of-Care - A Sustainable Healthcare Revolution at the Edge.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical decision-m...
Clinical Decision-Making Algorithms Point-of-Care Testing Point-of-Care Systems Delivery of Health Care Humans Computational Biology Precision Medicine Artificial Intelligence
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Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Autism Spectrum Disorder (ASD) encompasses a range of developmental disabilities marked by differences in social functioning, cognition, and behavior. Both genetic and environmental factors are known to contribute to ASD, yet the exact etiological fa...
Female Male Child Biomarkers Autism Spectrum Disorder Supervised Machine Learning Neuroimaging Humans Computational Biology Algorithms Unsupervised Machine Learning Principal Component Analysis
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Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Particularly for metastatic cancer, incorporating primary tumor location into the diagnostic process greatly improves survival rates. However, traditional...
Deep Learning Genomics Computational Biology Confidentiality Privacy Algorithms Computer Security Precision Medicine Neural Networks, Computer Neoplasms Machine Learning Humans
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ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Artificial Intelligence (AI) algorithms showcase the potential to steer a paradigm shift in clinical medicine, especially medical imaging. Concerns associated with model generalizability and biases necessitate rigorous external validation of AI algor...
Mammography Diagnostic Imaging Workflow Validation Studies as Topic Female Cloud Computing Humans Breast Neoplasms Artificial Intelligence Computational Biology Algorithms
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Establishment and Validation of the Novel Necroptosis-related Genes for Predicting Stemness and Immunity of Hepatocellular Carcinoma Machine-learning Algorithm.

Combinatorial chemistry & high throughput screening Jan 1, 2025
BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significant influence on various aspects of cancer biology, including tumor cell proliferation, stemness, metastasis, and immunosuppression. However, the role o...
Neoplastic Stem Cells Necroptosis Prognosis Liver Neoplasms Carcinoma, Hepatocellular Machine Learning Algorithms Humans
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Acceleration of Simultaneous Multislice Magnetic Resonance Fingerprinting With Spatiotemporal Convolutional Neural Network.

NMR in biomedicine Jan 1, 2025
Magnetic Resonance Fingerprinting (MRF) can be accelerated with simultaneous multislice (SMS) imaging for joint T and T quantification. However, the high inter-slice and in-plane acceleration in SMS-MRF causes severe aliasing artifacts, limiting the ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Brain
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Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review.

Dento maxillo facial radiology Jan 1, 2025
OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) images.
Humans Artificial Intelligence Algorithms Temporomandibular Joint Disc Magnetic Resonance Imaging Temporomandibular Joint Disorders Temporomandibular Joint
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Leveraging Artificial Intelligence in GPCR Activation Studies: Computational Prediction Methods as Key Drivers of Knowledge.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
G protein-coupled receptors (GPCRs) are key molecules involved in cellular signaling and are attractive targets for pharmacological intervention. This chapter is designed to explore the range of algorithms used to predict GPCRs' activation states, wh...
Humans Artificial Intelligence Molecular Dynamics Simulation Ligands Algorithms Signal Transduction Computational Biology Databases, Protein Receptors, G-Protein-Coupled
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Cancer-Associated Lymphoid Aggregates in Histology Images: Manual and Deep Learning-Based Quantification Approaches.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Quantification of lymphoid aggregates including tertiary lymphoid structures (TLS) with germinal centers in histology images of cancer is a promising approach for developing prognostic and predictive tissue biomarkers. In this article, we provide rec...
Tertiary Lymphoid Structures Humans Image Processing, Computer-Assisted Staining and Labeling Algorithms Germinal Center Neoplasms Deep Learning
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Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented in narrative clinical notes r...
Humans Algorithms Natural Language Processing Social Isolation Data Mining Mental Disorders Electronic Health Records Social Support
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