AIMC Topic: Deep Learning

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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.

Scientific reports Mar 5, 2025
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retros...
Middle Aged Deep Learning China Neoplasm Recurrence, Local Liver Transplantation Liver Neoplasms Carcinoma, Hepatocellular Aged Adult Male Retrospective Studies Female Risk Factors Humans
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Scientific reports Mar 5, 2025
Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis ...
Appendectomy Appendix Imaging, Three-Dimensional Acute Disease Appendicitis Adult Sensitivity and Specificity Tomography, X-Ray Computed Convolutional Neural Networks Male Middle Aged Humans Female Deep Learning Adolescent Young Adult Neural Networks, Computer Algorithms
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Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Scientific reports Mar 5, 2025
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...
Erythrocytes Cold Temperature Blood Preservation Age Factors Flow Cytometry Blood Donors Female Young Adult Adult Humans Deep Learning Male Adolescent Middle Aged
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A deep learning framework for automated and generalized synaptic event analysis.

eLife Mar 5, 2025
Quantitative information about synaptic transmission is key to our understanding of neural function. Spontaneously occurring synaptic events carry fundamental information about synaptic function and plasticity. However, their stochastic nature and lo...
Synaptic Transmission Neurons Synapses Animals Deep Learning
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Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey.

Bioinspiration & biomimetics Mar 5, 2025
Animals have to navigate complex environments and perform intricate swimming maneuvers in the real world. To conquer these challenges, animals evolved a variety of motion control strategies. While it is known that many factors contribute to motion co...
Biomechanical Phenomena Animals Neural Networks, Computer Locomotion Deep Learning Feedback, Sensory Computer Simulation Robotics Reinforcement Machine Learning Models, Biological Lampreys Swimming
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DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network.

Artificial intelligence in medicine Mar 4, 2025
Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have been developed for drug response prediction, integrating diverse information about biological e...
Humans Antineoplastic Agents Neural Networks, Computer Cell Line, Tumor Deep Learning Precision Medicine Neoplasms
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Novel augmentation techniques using diffusion models for green wall plant health classification.

Computers in biology and medicine Mar 4, 2025
Green walls, vertical plant-based structures, are increasingly popular due to their diverse environmental benefits, including aesthetic enhancement, temperature and humidity regulation, and air pollutant removal. These systems, typically consisting o...
Deep Learning Models, Biological Plants
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Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Accident; analysis and prevention Mar 4, 2025
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the dev...
Humans Algorithms Computer Simulation Deep Learning Reinforcement Machine Learning Avoidance Learning Unmanned Aerial Devices Time Factors Pedestrians Models, Theoretical Accidents, Traffic Environment Design Safety
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AD-VAE: Adversarial Disentangling Variational Autoencoder.

Sensors (Basel, Switzerland) Mar 4, 2025
Face recognition (FR) is a less intrusive biometrics technology with various applications, such as security, surveillance, and access control systems. FR remains challenging, especially when there is only a single image per person as a gallery datase...
Humans Deep Learning Face Biometric Identification Autoencoder Image Processing, Computer-Assisted Automated Facial Recognition Neural Networks, Computer Algorithms
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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics.

Sensors (Basel, Switzerland) Mar 4, 2025
Grid cells in the brain's entorhinal cortex are essential for spatial navigation and have inspired advancements in robotic navigation systems. This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusin...
Spatial Navigation Algorithms Deep Learning Grid Cells Animals Humans Robotics Neural Networks, Computer Entorhinal Cortex
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