Artificial Intelligence Medical Compendium

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

Showing 2,701 to 2,710 of 167,235 articles

A computational eye state classification model using EEG signal based on data mining techniques: comparative analysis.

Physical and engineering sciences in medicine
Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnostics using bio signals. This study focuses on classifying eye states (open or closed) using Electroencephalogram (EEG) signals captured via a 14-electr... read more 

CAPO: Towards Enhancing LLM Reasoning through Verifiable Generative Credit Assignment

arXiv
Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of Large Language Models (LLMs) by using rule-based binary feedback, helping to mitigate reward hacking. However, current RLVR methods typically treat whole ... read more 

Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

Journal of neuroengineering and rehabilitation
BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov... read more 

Generative artificial intelligence based models optimization towards molecule design enhancement.

Journal of cheminformatics
Generative artificial intelligence (GenAI) models have emerged as a transformative tool for addressing the complex challenges of drug discovery, enabling the design of structurally diverse, chemically valid, and functionally relevant molecules. Despi... read more 

Generating targeted and tailored health communication narratives with AI.

Risk analysis : an official publication of the Society for Risk Analysis
Customized narratives are effective tools to promote risk prevention behaviors in populations. However, the development of such narratives is resource-intensive. Advances in generative artificial intelligence (AI) offer promising solutions to these c... read more 

Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach

arXiv
Autonomous unmanned aerial vehicle (UAV) navigation in orchards presents significant challenges due to obstacles and GPS-deprived environments. In this work, we introduce a learning-based approach to achieve vision-based navigation of UAVs within o... read more 

Accurate and Rapid Ranking of Protein-Ligand Binding Affinities Using Density Matrix Fragmentation and Physics-Informed Machine Learning Dispersion Potentials.

Chemphyschem : a European journal of chemical physics and physical chemistry
The generalized many-body expansion for building density matrices (GMBE-DM), truncated at the one-body level and combined with a purification scheme, is applied to rank protein-ligand binding affinities across two cyclin-dependent kinase 2 (CDK2) dat... read more 

Neuromorphic Hebbian learning with magnetic tunnel junction synapses.

Communications engineering
Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices with analog r... read more 

Correspondence-Free Fast and Robust Spherical Point Pattern Registration

arXiv
Existing methods for rotation estimation between two spherical ($\mathbb{S}^2$) patterns typically rely on spherical cross-correlation maximization between two spherical function. However, these approaches exhibit computational complexities greater... read more 

Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment

arXiv
Reliable preclinical disease risk assessment is essential to move public healthcare from reactive treatment to proactive identification and prevention. However, image-based risk prediction algorithms often consider one condition at a time and depen... read more