Artificial Intelligence Medical Compendium

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

Showing 58,491 to 58,500 of 227,634 articles

AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose

arXiv Jan 23, 2026
Existing face-swapping methods often deliver competitive results in constrained settings but exhibit substantial quality degradation when handling extreme facial poses. To improve facial pose robustness, explicit geometric features are applied, but t... read more 
Computer Vision and Pattern Recognition cs.AI

VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology

arXiv Jan 23, 2026
Accurate semantic segmentation for histopathology image is crucial for quantitative tissue analysis and downstream clinical modeling. Recent segmentation foundation models have improved generalization through large-scale pretraining, yet remain poorl... read more 
Computer Vision and Pattern Recognition

A Cautionary Tale of Self-Supervised Learning for Imaging Biomarkers: Alzheimer's Disease Case Study

arXiv Jan 23, 2026
Discovery of sensitive and biologically grounded biomarkers is essential for early detection and monitoring of Alzheimer's disease (AD). Structural MRI is widely available but typically relies on hand-crafted features such as cortical thickness or vo... read more 
Machine Learning

DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses

arXiv Jan 23, 2026
The rapid proliferation of realistic deepfakes has raised urgent concerns over their misuse, motivating the use of defensive watermarks in synthetic images for reliable detection and provenance tracking. However, this defense paradigm assumes such wa... read more 
Cryptography and Security cs.AI cs.CV

Multi-View Consistent Wound Segmentation With Neural Fields

arXiv Jan 23, 2026
Wound care is often challenged by the economic and logistical burdens that consistently afflict patients and hospitals worldwide. In recent decades, healthcare professionals have sought support from computer vision and machine learning algorithms. In... read more 
Computer Vision and Pattern Recognition

Noise-immune and AI-enhanced DNA storage via adaptive partition mapping of digital data

arXiv Jan 23, 2026
Encoding digital information into DNA sequences offers an attractive potential solution for storing rapidly growing data under the information age and the rise of artificial intelligence. However, practical implementations of DNA storage are constrai... read more 
Information Theory

AnchoredDream: Zero-Shot 360° Indoor Scene Generation from a Single View via Geometric Grounding

arXiv Jan 23, 2026
Single-view indoor scene generation plays a crucial role in a range of real-world applications. However, generating a complete 360° scene from a single image remains a highly ill-posed and challenging problem. Recent approaches have made progress by ... read more 
Computer Vision and Pattern Recognition

LLM is Not All You Need: A Systematic Evaluation of ML vs. Foundation Models for text and image based Medical Classification

arXiv Jan 23, 2026
The combination of multimodal Vision-Language Models (VLMs) and Large Language Models (LLMs) opens up new possibilities for medical classification. This work offers a rigorous, unified benchmark by using four publicly available datasets covering text... read more 
Artificial Intelligence

HA2F: Dual-module Collaboration-Guided Hierarchical Adaptive Aggregation Framework for Remote Sensing Change Detection

arXiv Jan 23, 2026
Remote sensing change detection (RSCD) aims to identify the spatio-temporal changes of land cover, providing critical support for multi-disciplinary applications (e.g., environmental monitoring, disaster assessment, and climate change studies). Exist... read more 
Computer Vision and Pattern Recognition

X-Aligner: Composed Visual Retrieval without the Bells and Whistles

arXiv Jan 23, 2026
Composed Video Retrieval (CoVR) facilitates video retrieval by combining visual and textual queries. However, existing CoVR frameworks typically fuse multimodal inputs in a single stage, achieving only marginal gains over initial baseline. To address... read more 
Computer Vision and Pattern Recognition
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