Artificial Intelligence Medical Compendium

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

Showing 45,501 to 45,510 of 224,055 articles

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions

arXiv Mar 2, 2026
Selective conformal prediction can yield substantially tighter uncertainty sets when we can identify calibration examples that are exchangeable with the test example. In interventional settings, such as perturbation experiments in genomics, exchangea... read more 
Machine Learning stat.ML

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

arXiv Mar 2, 2026
Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generating such images lies in ensuring the high-fidelity preservation of pro... read more 
Computer Vision and Pattern Recognition

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

arXiv Mar 2, 2026
Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generating such images lies in ensuring the high-fidelity preservation of pro... read more 
Computer Vision and Pattern Recognition

AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning

arXiv Mar 2, 2026
Facial feminization surgery (FFS) is a key component of gender affirmation for transgender and gender diverse patients, aiming to reshape craniofacial structures toward a female morphology. Current surgical planning procedures largely rely on subject... read more 
Computer Vision and Pattern Recognition eess.IV

Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification

arXiv Mar 2, 2026
Long-tailed class distributions pose a significant challenge for multi-label chest X-ray (CXR) classification, where rare but clinically important findings are severely underrepresented. In this work, we present a systematic empirical evaluation of l... read more 
Image and Video Processing cs.CV

HAMMER: Harnessing MLLM via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding

arXiv Mar 2, 2026
Humans commonly identify 3D object affordance through observed interactions in images or videos, and once formed, such knowledge can be generically generalized to novel objects. Inspired by this principle, we advocate for a novel framework that lever... read more 
Computer Vision and Pattern Recognition

MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry

arXiv Mar 2, 2026
Recent advancements in neural visual geometry, including transformer-based models such as VGGT and Pi3, have achieved impressive accuracy on 3D reconstruction tasks. However, their reliance on full attention makes them fundamentally limited by GPU me... read more 
Computer Vision and Pattern Recognition

Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach

arXiv Mar 2, 2026
Digital advertising increasingly relies on visual content, yet marketers lack rigorous methods for understanding how specific visual attributes causally affect consumer engagement. This paper addresses a fundamental methodological challenge: estimati... read more 
Artificial Intelligence econ.EM

Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

arXiv Mar 2, 2026
Classical radiomic features are designed to quantify image appearance and intensity patterns. Compared with end-to-end deep learning (DL) models trained for disease classification, radiomics pipelines with low-dimensional parametric classifiers offer... read more 
Computer Vision and Pattern Recognition

Cultural Counterfactuals: Evaluating Cultural Biases in Large Vision-Language Models with Counterfactual Examples

arXiv Mar 2, 2026
Large Vision-Language Models (LVLMs) have grown increasingly powerful in recent years, but can also exhibit harmful biases. Prior studies investigating such biases have primarily focused on demographic traits related to the visual characteristics of ... read more 
Computer Vision and Pattern Recognition
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