Artificial Intelligence Medical Compendium

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

Showing 551 to 560 of 159,289 articles

On the Importance of Neural Membrane Potential Leakage for LIDAR-based Robot Obstacle Avoidance using Spiking Neural Networks

arXiv Jul 13, 2025
Using neuromorphic computing for robotics applications has gained much attention in recent year due to the remarkable ability of Spiking Neural Networks (SNNs) for high-precision yet low memory and compute complexity inference when implemented in n...
Robotics Artificial Intelligence
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Visual Homing in Outdoor Robots Using Mushroom Body Circuits and Learning Walks

arXiv Jul 13, 2025
Ants achieve robust visual homing with minimal sensory input and only a few learning walks, inspiring biomimetic solutions for autonomous navigation. While Mushroom Body (MB) models have been used in robotic route following, they have not yet been ...
Robotics Artificial Intelligence Computer Vision and Pattern Recognition
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Leveraging Conformational Diversity for Enhanced Structure-Based Virtual Screening: Insights from Molecular Dynamics Simulations of HIV-1 Protease-Ligand Complexes

arXiv Jul 13, 2025
Structure-based virtual screening aims to identify high-affinity ligands by estimating binding free energies between proteins and small molecules. However, the conformational flexibility of both proteins and ligands challenges conventional rigid do...
Biomolecules
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Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer.

Discover oncology Jul 13, 2025
BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledged in various cancers, its role in pancreatic cancer (PC) remains underexplored and warrants further investigation.
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Enhancing Clinical Text Classification via Fine-Tuned DRAGON Longformer Models

arXiv Jul 13, 2025
This study explores the optimization of the DRAGON Longformer base model for clinical text classification, specifically targeting the binary classification of medical case descriptions. A dataset of 500 clinical cases containing structured medical ...
Computation and Language Artificial Intelligence 68T07
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A Machine Learning Approach to Microcalorimetric Pattern Classification of Pathogens in Synovial Fluid.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jul 13, 2025
Isothermal microcalorimetry (IMC) is a promising tool for diagnosing periprosthetic joint infection (PJI), based on real-time measurement of growth-related heat production of pathogens, and faster than conventional microbial cultures. However, the fe...
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FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise

arXiv Jul 13, 2025
Federated Learning (FL) emerged as a solution for collaborative medical image classification while preserving data privacy. However, label noise, which arises from inter-institutional data variability, can cause training instability and degrade mod...
Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
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Compute SNR-Optimal Analog-to-Digital Converters for Analog In-Memory Computing

arXiv Jul 13, 2025
Analog in-memory computing (AIMC) is an energy-efficient alternative to digital architectures for accelerating machine learning and signal processing workloads. However, its energy efficiency is limited by the high energy cost of the column analog-...
Signal Processing Hardware Architecture
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Efficient Private Inference Based on Helper-Assisted Malicious Security Dishonest Majority MPC

arXiv Jul 13, 2025
Private inference based on Secure Multi-Party Computation (MPC) addresses data privacy risks in Machine Learning as a Service (MLaaS). However, existing MPC-based private inference frameworks focuses on semi-honest or honest majority models, whose ...
Cryptography and Security
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Design of Tough 3D Printable Elastomers with Human-in-the-Loop Reinforcement Learning.

Angewandte Chemie (International ed. in English) Jul 13, 2025
The development of high-performance elastomers for additive manufacturing requires overcoming complex property trade-offs that challenge conventional material discovery pipelines. Here, a human-in-the-loop reinforcement learning (RL) approach is used...
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