Artificial Intelligence Medical Compendium

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

Showing 21,741 to 21,750 of 216,627 articles

Knee Osteoarthritis Severity Grading Using Optimized Deep Learning and LLM-Driven Intelligent AI on Computationally Limited Systems

arXiv May 7, 2026
Knee osteoarthritis (KOA) is among the musculoskeletal disorders that considerably restrict joint mobility, cause severe chronic pain and impact negatively on quality life. It is one of the persistent health issues worldwide. Generally, subjectivity ... read more 
Artificial Intelligence

Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI

arXiv May 7, 2026
Explainable Artificial Intelligence (XAI) is increasingly rec ognized as essential for deploying machine learning systems in safety critical environments. In Automatic Target Recognition (ATR), where models operate on image, video, radar, and multise... read more 
Artificial Intelligence

Ray-Aware Pointer Memory with Adaptive Updates for Streaming 3D Reconstruction

arXiv May 7, 2026
Dense 3D reconstruction from continuous image streams requires both accurate geometric aggregation and stable long-term memory management. Recent feed-forward reconstruction frameworks integrate observations through persistent memory representations,... read more 
Computer Vision and Pattern Recognition

RVPO: Risk-Sensitive Alignment via Variance Regularization

arXiv May 7, 2026
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving them vulnerable to constraint neglect: high-magnitude success in one objective can numerically offset critical failures in others (e.g., safety or form... read more 
Machine Learning cs.CL

A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis

arXiv May 7, 2026
As Edge Intelligence (EI) becomes increasingly prevalent in domains such as smart healthcare, manufacturing, and critical infrastructure, ensuring data privacy while maintaining system efficiency is a growing challenge. This paper presents a new priv... read more 
Distributed, Parallel, and Cluster Computing

iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models

arXiv May 7, 2026
We introduce iTRIALSPACE, a programmable evaluation framework for controlled assessment of lung CT models. Standard benchmarks are static retrospective collections that entangle lesion size, lobe prevalence, anatomy, and acquisition context, making i... read more 
Computer Vision and Pattern Recognition

The autoPET3 Challenge -- Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization

arXiv May 7, 2026
We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked automated lesion segmentation in whole-body PET/CT under a compositional generalization setting. Training data comprised 1,014 [18F]-FDG PET/CT studies f... read more 
Computer Vision and Pattern Recognition cs.AI

Steering Visual Generation in Unified Multimodal Models with Understanding Supervision

arXiv May 7, 2026
Unified multimodal models are envisioned to bridge the gap between understanding and generation. Yet, to achieve competitive performance, state-of-the-art models adopt largely decoupled understanding and generation components. This design, while effe... read more 
Computer Vision and Pattern Recognition cs.AI

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses

arXiv May 7, 2026
Image steganography is widely used to protect user privacy and enable covert communication. However, it can also be abused by the adversary as a covert channel to bypass content moderation, disseminate harmful semantics, and even hide malicious instr... read more 
Cryptography and Security cs.CV

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs

arXiv May 7, 2026
When a chest X-ray shows consolidation but the question asks which finding is present, a medical vision-language model may answer "No consolidation." This is more than an incorrect choice: it is a polarity reversal that emits a clinical statement con... read more 
Computer Vision and Pattern Recognition
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