Artificial Intelligence Medical Compendium

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

Showing 711 to 720 of 159,839 articles

Multipass Linear Sketches for Geometric LP-Type Problems

arXiv Jul 15, 2025
LP-type problems such as the Minimum Enclosing Ball (MEB), Linear Support Vector Machine (SVM), Linear Programming (LP), and Semidefinite Programming (SDP) are fundamental combinatorial optimization problems, with many important applications in mac... read more 
Data Structures and Algorithms

YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery

arXiv Jul 15, 2025
Automatic Target Detection (ATD) and Recognition (ATR) from Thermal Infrared (TI) imagery in the defense and surveillance domain is a challenging computer vision (CV) task in comparison to the commercial autonomous vehicle perception domain. Limite... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort.

BMC gastroenterology Jul 15, 2025
OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic fatty liver disease (NAFLD) using the random survival forests (RSF), and to investigate the distribution of NAFLD risk with time. read more 
Humans Machine Learning Proportional Hazards Models Non-alcoholic Fatty Liver Disease Adult Male Middle Aged Risk Assessment Female Retrospective Studies Risk Factors

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining

arXiv Jul 15, 2025
Finite-State Machines (FSMs) are critical for modeling the operational logic of network protocols, enabling verification, analysis, and vulnerability discovery. However, existing FSM extraction techniques face limitations such as scalability, incom... read more 
Computation and Language Artificial Intelligence Networking and Internet Architecture

NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides.

BMC biology Jul 15, 2025
BACKGROUND: Accurate identification of anti-inflammatory peptides (AIPs) is crucial for drug development and inflammatory disease treatment. However, the short length and limited informational content of peptide sequences make precise computational r... read more 
Machine Learning Peptides Deep Learning Anti-Inflammatory Agents

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

arXiv Jul 15, 2025
Reducing feedback overhead in beyond 5G networks is a critical challenge, as the growing number of antennas in modern massive MIMO systems substantially increases the channel state information (CSI) feedback demand in frequency division duplex (FDD... read more 
Systems and Control Artificial Intelligence Systems and Control Signal Processing

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports Jul 15, 2025
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv... read more 
Humans Computer Security Monitoring, Physiologic Cloud Computing Internet of Things

Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T-FLAIR: a multi-centre study.

NPJ digital medicine Jul 15, 2025
Early identification of cerebral small vessel disease related cognitive impairment (CSVD-CI) is crucial for timely clinical intervention. We developed a Transformer-based deep learning model using white matter hyperintensity (WMH) radiomics features ... read more 

A unified ontological and explainable framework for decoding AI risks from news data.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented-either limited to specific domains or focused solel... read more 

One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.

IEEE transactions on pattern analysis and machine intelligence Jul 15, 2025
Inspired by neuronal diversity in the biological neural system, a plethora of studies proposed to design novel types of artificial neurons and introduce neuronal diversity into artificial neural networks. Recently proposed quadratic neuron, which rep... read more 
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