Artificial Intelligence Medical Compendium

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

Showing 20,001 to 20,010 of 215,899 articles

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions

arXiv May 12, 2026
There is recently a serious issue that Deep Neural Networks (DNNs) training uses more and more unauthorized data. A clean-label generalization attack, one type of data poisoning attacks, has been suggested to address this issue. The Neural Tangent Ge... read more 
Machine Learning

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces

arXiv May 12, 2026
A critical step for reliable large language models (LLMs) use in healthcare is to attribute predictions to their training data, akin to a medical case study. This requires token-level precision: pinpointing not just which training examples influence ... read more 
Machine Learning cs.AI

AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers

arXiv May 12, 2026
The Average Gradient Outer Product (AGOP) governs feature learning in neural networks: the Neural Feature Ansatz states that weight Gram matrices at each layer align with the corresponding AGOP matrices computed over the training distribution. We ask... read more 
Machine Learning

Training Large Language Models to Predict Clinical Events

arXiv May 12, 2026
Longitudinal clinical notes contain rich evidence of how patients evolve over time, but converting this signal into training supervision for clinical prediction remains challenging. We extend Foresight Learning to clinical prediction by converting ti... read more 
Machine Learning cs.AI cs.CL

FRAME: Forensic Routing and Adaptive Multi-path Evidence Fusion for Image Manipulation Detection

arXiv May 12, 2026
The proliferation of sophisticated image editing tools and generative artificial intelligence models has made verifying the authenticity of digital images increasingly challenging, with important implications for journalism, forensic analysis, and pu... read more 
Computer Vision and Pattern Recognition cs.AI

Quantifying Potential Observation Missingness in Inverse Reinforcement Learning

arXiv May 12, 2026
Inverse reinforcement learning (IRL), which infers reward functions from demonstrations, is a valuable tool for modeling and understanding decision-making behavior. Many variants of IRL have been developed to capture complexities of human decision-ma... read more 
Machine Learning

Digital Twins as Synthetic Controls in Single-Arm Trials

arXiv May 12, 2026
Single-arm trials are an important study design for evaluating drug efficacy and safety without enrolling patients into a control arm. Although they do not provide the gold-standard evidence of randomized controlled trials, they are increasingly used... read more 
Applications cs.LG stat.ML

Causal Fairness for Survival Analysis

arXiv May 12, 2026
In the data-driven era, large-scale datasets are routinely collected and analyzed using machine learning (ML) and artificial intelligence (AI) to inform decisions in high-stakes domains such as healthcare, employment, and criminal justice, raising co... read more 
Machine Learning cs.AI stat.AP stat.ML

PresentAgent-2: Towards Generalist Multimodal Presentation Agents

arXiv May 12, 2026
Presentation generation is moving beyond static slide creation toward end-to-end presentation video generation with research grounding, multimodal media, and interactive delivery. We introduce PresentAgent-2, an agentic framework for generating prese... read more 
Computer Vision and Pattern Recognition cs.CL

LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows

arXiv May 12, 2026
We study the application of recent Edit Flows for inference-time reward control for DNA sequence generation. Unlike most reward-guided DNA generation frameworks, which operate on fixed-length sequence spaces, Edit Flows have a potential to generate v... read more 
Machine Learning cs.AI q-bio.GN
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