Artificial Intelligence Medical Compendium

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

Showing 51,441 to 51,450 of 225,182 articles

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

arXiv Feb 11, 2026
Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Models (VLMs) have emerged as the primary reward provider, leveraging their... read more 
Computer Vision and Pattern Recognition cs.AI

SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents

arXiv Feb 11, 2026
Reinforcement learning (RL) has become a key paradigm for training software engineering (SWE) agents, but existing pipelines typically rely on per-task containers for isolation. At scale, pre-built container images incur substantial storage overhead,... read more 
Software Engineering cs.AI cs.LG

Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks

arXiv Feb 11, 2026
Accurate prognosis for Glioblastoma (GBM) using deep learning (DL) is hindered by extreme spatial and structural heterogeneity. Moreover, inconsistent MRI acquisition protocols across institutions hinder generalizability of models. Conventional trans... read more 
Machine Learning q-bio.NC

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

arXiv Feb 11, 2026
Building general-purpose embodied agents across diverse hardware remains a central challenge in robotics, often framed as the ''one-brain, many-forms'' paradigm. Progress is hindered by fragmented data, inconsistent representations, and misaligned tr... read more 
Computer Vision and Pattern Recognition cs.CL cs.RO

AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management

arXiv Feb 11, 2026
Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. Clinical decision support systems incorporating artificial intelligence (AI-CDSS) can assist medical professionals in diagnosing type 2 diabetes with h... read more 
Machine Learning cs.AI

Toward Reliable Tea Leaf Disease Diagnosis Using Deep Learning Model: Enhancing Robustness With Explainable AI and Adversarial Training

arXiv Feb 11, 2026
Tea is a valuable asset for the economy of Bangladesh. So, tea cultivation plays an important role to boost the economy. These valuable plants are vulnerable to various kinds of leaf infections which may cause less production and low quality. It is n... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Active Zero: Self-Evolving Vision-Language Models through Active Environment Exploration

arXiv Feb 11, 2026
Self-play has enabled large language models to autonomously improve through self-generated challenges. However, existing self-play methods for vision-language models rely on passive interaction with static image collections, resulting in strong depen... read more 
Computer Vision and Pattern Recognition cs.LG

DeepRed: an architecture for redshift estimation

arXiv Feb 11, 2026
Estimating redshift is a central task in astrophysics, but its measurement is costly and time-consuming. In addition, current image-based methods are often validated on homogeneous datasets. The development and comparison of networks able generalize ... read more 
Instrumentation and Methods for Astrophysics cs.AI cs.LG gr-qc

Advancing Digital Twin Generation Through a Novel Simulation Framework and Quantitative Benchmarking

arXiv Feb 11, 2026
The generation of 3D models from real-world objects has often been accomplished through photogrammetry, i.e., by taking 2D photos from a variety of perspectives and then triangulating matched point-based features to create a textured mesh. Many desig... read more 
Computer Vision and Pattern Recognition cs.GR

Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation

arXiv Feb 11, 2026
In machine learning, "ground truth" refers to the assumed correct labels used to train and evaluate models. However, the foundational "ground truth" paradigm rests on a positivistic fallacy that treats human disagreement as technical noise rather tha... read more 
Artificial Intelligence cs.CL cs.CY
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