AIMC Topic: Deep Learning

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Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chronic Kidney Disease (CKD) to End-Stage Renal Disease (ESRD). We analyze ...
Deep Learning Kidney Failure, Chronic Insurance Claim Review Humans Artificial Intelligence Machine Learning Male Disease Progression
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Better Blood Pressure Control for Stroke Patients in the ICU: A Deep Reinforcement Learning with Supervised Guidance Approach for Adaptive Infusion Rate Tuning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute ischemic stroke patients in intensive care units (ICUs), where higher BPV correlates with increased mortality rates. Current interventions lack effecti...
Humans Intensive Care Units Deep Learning Antihypertensive Agents Stroke Reinforcement Machine Learning Nicardipine Hypertension Infusions, Intravenous Blood Pressure
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Deep Learning-based U-Mamba Model to Predict Differentiated Gastric Cancer using Radiomics Features from Spleen Segmentation.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model to address the limitations of manual segmentation, which is known to be susceptible to inter-observer variabi...
Stomach Neoplasms Aged Middle Aged Radiomics Aged, 80 and over Deep Learning Spleen Humans Male Nomograms Adult Tomography, X-Ray Computed Female
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Research on the effectiveness of multi-view slice correction strategy based on deep learning in high pitch helical CT reconstruction.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Recent studies have explored layered correction strategies, employing a slice-by-slice approach to mitigate the prominent limited-view artifacts present in reconstructed images from high-pitch helical CT scans. However, challenges persist...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Artifacts Algorithms Phantoms, Imaging Tomography, Spiral Computed
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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.

Technology in cancer research & treatment Jan 1, 2024
INTRODUCTION: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patien...
Middle Aged Deep Learning ROC Curve Lung Neoplasms Humans Neoplasm Staging Adult Algorithms Adenocarcinoma of Lung Prognosis Neoplasm Grading Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Aged
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A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis.

Technology in cancer research & treatment Jan 1, 2024
Cancer is a significant public health issue due to its high prevalence and lethality, particularly lung and colon cancers, which account for over a quarter of all cancer cases. This study aims to enhance the detection rate of lung and colon cancer by...
Image Processing, Computer-Assisted Lung Neoplasms Early Detection of Cancer Algorithms Humans Colonic Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning
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Towards Explainable Detection of Alzheimer's Disease: A Fusion of Deep Convolutional Neural Network and Enhanced Weighted Fuzzy C-Mean.

Current medical imaging Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, posing a significant challenge for individuals and society. Early detection and treatment are essential for effective disease managem...
Fuzzy Logic Alzheimer Disease Algorithms Deep Learning Magnetic Resonance Imaging Humans Neural Networks, Computer
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Estimating protein-ligand interactions with geometric deep learning and mixture density models.

Journal of biosciences Jan 1, 2024
Understanding the interactions between a ligand and its molecular target is crucial in guiding the optimization of molecules for any drug design workflow. Multiple experimental and computational methods have been developed to better understand these...
Ligands Protein Conformation Binding Sites Algorithms Molecular Docking Simulation Drug Design Deep Learning Protein Binding Proteins Neural Networks, Computer
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[Changes in FDG-PET Images of Small Lung and Liver Masses Caused by the Deep Learning-based Time-of-flight Processing].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2024
PURPOSE: The deep learning time-of-flight (DL-ToF) aims to replicate the ToF effects through post-processing, applying deep learning-based enhancement to PET images. This study evaluates the effectiveness of DL-ToF using a chest-abdomen phantom that ...
Humans Deep Learning Liver Neoplasms Fluorodeoxyglucose F18 Phantoms, Imaging Image Processing, Computer-Assisted Lung Neoplasms Positron-Emission Tomography
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Classification of Artifacts in Multimodal Fused Images using Transfer Learning with Convolutional Neural Networks.

Current medical imaging Jan 1, 2024
INTRODUCTION: Multimodal medical image fusion techniques play an important role in clinical diagnosis and treatment planning. The process of combining multimodal images involves several challenges depending on the type of modality, transformation tec...
Humans Neural Networks, Computer Tomography, Emission-Computed, Single-Photon Magnetic Resonance Imaging Multimodal Imaging Brain Artifacts Deep Learning Image Processing, Computer-Assisted
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