AIMC Topic: Deep Learning

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Universal representations in cardiovascular ECG assessment: A self-supervised learning approach.

International journal of medical informatics Dec 1, 2024
BACKGROUND: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assessment. While deep learning algorithms have shown promising results for analyzing ECG data, the limited availability of labeled datasets hinders broader...
Supervised Machine Learning Humans Algorithms Female Adult Male Cardiovascular Diseases Deep Learning Electrocardiography
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Evaluating the dosimetric impact of deep-learning-based auto-segmentation in prostate cancer radiotherapy: Insights into real-world clinical implementation and inter-observer variability.

Journal of applied clinical medical physics Dec 1, 2024
PURPOSE: This study aimed to investigate the dosimetric impact of deep-learning-based auto-contouring for clinical target volume (CTV) and organs at risk (OARs) delineation in prostate cancer radiotherapy planning. Additionally, we compared the geome...
Prostate Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Observer Variation Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Humans Retrospective Studies Tomography, X-Ray Computed Male
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The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2024
BACKGROUND: Glioblastoma (GBM) is the most aggressive cancer in the central nervous system in glial cells. Finding novel biomarkers in GBM offers numerous advantages that can contribute to early detection, personalized treatment, improved patient out...
Receptors, G-Protein-Coupled Transcriptome Female Brain Neoplasms Humans Glioblastoma Prognosis Survival Rate Deep Learning Male Biomarkers, Tumor RNA-Seq Middle Aged Gene Expression Regulation, Neoplastic Gene Expression Profiling
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Prediction of Perceived Exertion Ratings in National Level Soccer Players Using Wearable Sensor Data and Machine Learning Techniques.

Journal of sports science & medicine Dec 1, 2024
This study aimed to identify relationships between external and internal load parameters with subjective ratings of perceived exertion (RPE). Consecutively, these relationships shall be used to evaluate different machine learning models and design a ...
Physical Exertion Heart Rate Acceleration Accelerometry Perception Soccer Male Humans Geographic Information Systems Machine Learning Algorithms Deep Learning Young Adult Wearable Electronic Devices Adult
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Surgical Insight-guided Deep Learning for Colorectal Lesion Management.

Surgical laparoscopy, endoscopy & percutaneous techniques Dec 1, 2024
BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases, including potentially malignant tumors. The procedure, however, faces challenges in the precise identification of lesions during visual inspections....
Humans Female Middle Aged Aged Colonoscopy Sensitivity and Specificity Deep Learning Colorectal Neoplasms Surgery, Computer-Assisted Male
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Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population.

EBioMedicine Dec 1, 2024
BACKGROUND: Manually extracted imaging-based body composition measures from a single-slice area (A) have shown associations with clinical outcomes in patients with cardiometabolic disease and cancer. With advances in artificial intelligence, fully au...
Deep Learning Magnetic Resonance Imaging Body Composition Whole Body Imaging Female Aged Male Middle Aged Humans Prognosis
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A versatile attention-based neural network for chemical perturbation analysis and its potential to aid surgical treatment: an experimental study.

International journal of surgery (London, England) Dec 1, 2024
Deep learning models have emerged as rapid, accurate, and effective approaches for clinical decisions. Through a combination of drug screening and deep learning models, drugs that may benefit patients before and after surgery can be discovered to red...
Humans Neural Networks, Computer COVID-19 Drug Discovery Transcriptome Deep Learning COVID-19 Drug Treatment
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Development and validation of a deep learning model for predicting gastric cancer recurrence based on CT imaging: a multicenter study.

International journal of surgery (London, England) Dec 1, 2024
INTRODUCTION: The postoperative recurrence of gastric cancer (GC) has a significant impact on the overall prognosis of patients. Therefore, accurately predicting the postoperative recurrence of GC is crucial.
Gastrectomy Female Humans Male Aged Prognosis Middle Aged Adult Retrospective Studies Deep Learning Stomach Neoplasms Tomography, X-Ray Computed Neoplasm Recurrence, Local
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Generative adversarial network (GAN) model-based design of potent SARS-CoV-2 M inhibitors using the electron density of ligands and 3D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis.

Molecular diversity Nov 30, 2024
Deep learning-based generative adversarial network (GAN) frameworks have recently been developed to expedite the drug discovery process. These models generate novel molecules from scratch and validate them through molecular docking simulation to iden...
Molecular Docking Simulation Drug Design Deep Learning Antiviral Agents Humans COVID-19 SARS-CoV-2 Binding Sites Protein Binding Protease Inhibitors Coronavirus 3C Proteases Molecular Dynamics Simulation Generative Adversarial Networks Ligands COVID-19 Drug Treatment
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Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.

Circulation journal : official journal of the Japanese Circulation Society Nov 30, 2024
BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current referen...
Severity of Illness Index Aged Humans Pulmonary Embolism Deep Learning Aged, 80 and over Prognosis Predictive Value of Tests Male Multidetector Computed Tomography Female Middle Aged Acute Disease
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