Artificial Intelligence Medical Compendium

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

Showing 62,951 to 62,960 of 230,760 articles

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory

arXiv Jan 18, 2026
Future direct-imaging flagship missions, such as NASA's Habitable Worlds Observatory (HWO), face critical decisions in prioritizing observations due to extremely stringent time and resource constraints. In this paper, we introduce two advanced machin... read more 
Machine Learning cs.AI cs.CV

HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications

arXiv Jan 18, 2026
Intelligent assistive technologies are increasingly recognized as critical daily-use enablers for people with disabilities and age-related functional decline. Longitudinal studies, curation of quality datasets, live monitoring in activities of daily ... read more 
Systems and Control cs.LG

Learning Longitudinal Health Representations from EHR and Wearable Data

arXiv Jan 18, 2026
Foundation models trained on electronic health records show strong performance on many clinical prediction tasks but are limited by sparse and irregular documentation. Wearable devices provide dense continuous physiological signals but lack semantic ... read more 
Machine Learning

DiffusionQC: Artifact Detection in Histopathology via Diffusion Model

arXiv Jan 18, 2026
Digital pathology plays a vital role across modern medicine, offering critical insights for disease diagnosis, prognosis, and treatment. However, histopathology images often contain artifacts introduced during slide preparation and digitization. Dete... read more 
Computer Vision and Pattern Recognition

Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models

arXiv Jan 18, 2026
Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clo... read more 
Graphics cs.AI cs.CV

An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion

arXiv Jan 18, 2026
Breast cancer is one of the most common cancers among women worldwide, and its accurate and timely diagnosis plays a critical role in improving treatment outcomes. This thesis presents an innovative framework for detecting malignant masses in mammogr... read more 
Computer Vision and Pattern Recognition cs.AI

Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy

arXiv Jan 18, 2026
Conventional imaging requires a line of sight to create accurate visual representations of a scene. In certain circumstances, however, obtaining a suitable line of sight may be impractical, dangerous, or even impossible. Non-line-of-sight (NLOS) imag... read more 
Computer Vision and Pattern Recognition cs.AI cs.CG cs.GR

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers

arXiv Jan 18, 2026
Vision-Language Models (VLMs) are rapidly replacing unimodal encoders in modern retrieval and recommendation systems. While their capabilities are well-documented, their robustness against adversarial manipulation in competitive ranking scenarios rem... read more 
Computation and Language cs.AI cs.LG

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training

arXiv Jan 18, 2026
The functions of different regions of the human brain are closely linked to their distinct cytoarchitecture, which is defined by the spatial arrangement and morphology of the cells. Identifying brain regions by their cytoarchitecture enables various ... read more 
Computer Vision and Pattern Recognition cs.AI

SDiT: Semantic Region-Adaptive for Diffusion Transformers

arXiv Jan 18, 2026
Diffusion Transformers (DiTs) achieve state-of-the-art performance in text-to-image synthesis but remain computationally expensive due to the iterative nature of denoising and the quadratic cost of global attention. In this work, we observe that deno... read more 
Computer Vision and Pattern Recognition
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