Artificial Intelligence Medical Compendium

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

Showing 1,701 to 1,710 of 213,568 articles

Across-Site MRI Prediction of Substantial Lymphovascular Space Invasion in Endometrial Cancer: Radiomics versus Deep Learning Features

medRxiv Jul 16, 2026
Purpose: To compare the cross-site generalization of radiomic features and deep learning embeddings for MRI prediction of substantial lymphovascular space invasion (LVSI) in endometrial cancer. Materials and Methods: This retrospective two-center stu... read more 
radiology and imaging

Mapping Topic Change in Influential Hepatocellular Carcinoma Research: A Two-Cohort Bibliometric Analysis

medRxiv Jul 16, 2026
The therapeutic landscape for hepatocellular carcinoma (HCC) is evolving rapidly, necessitating scalable approaches to synthesize the expanding scientific literature. We characterized thematic shifts in HCC treatment and prognosis research by conduct... read more 
oncology

Mapping the Transcriptional Landscape of Drug Responses in Primary Human Cells Using High-Throughput DRUG-seq

bioRxiv Jul 16, 2026
To advance our understanding of drug action in physiologically-relevant systems, we developed a high-throughput transcriptomic atlas of compound responses in primary human cell types. Leveraging the scalable and cost-effective Digital RNA with the pe... read more 
systems biology

Knowing You at First Glance: Inferring Apparent Personality from Faces

arXiv Jul 16, 2026
Inferring apparent personality from facial images is important in social scenarios for embodied agents in human-robot interaction. Unlike inferring intrinsic personality traits via conversation, this task models first-impression personality perceptio... read more 
Computer Vision and Pattern Recognition cs.AI

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling

arXiv Jul 16, 2026
Image-to-Point Cloud Registration (I2P) is essential for integrating camera and LiDAR in perception and autonomous systems, yet the modality gap between images and point clouds makes it difficult to achieve both high accuracy and strong generalizatio... read more 
Robotics cs.CV

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships

arXiv Jul 16, 2026
Recent diffusion-based video generation models have made significant progress in multi-reference image-conditioned video editing. However, existing methods still struggle to coordinate information from multiple visual sources accurately. We identify ... read more 
Computer Vision and Pattern Recognition

GlobalForge: Towards Robust AI-Generated Image Detection

arXiv Jul 16, 2026
AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance drops sharply after images are propagated through real-world channels. We trace this fragility to what these detectors actually learn: they overfit... read more 
Computer Vision and Pattern Recognition

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models

arXiv Jul 16, 2026
Multiple instance learning (MIL) has become the main paradigm for whole-slide image (WSI) analysis in computational pathology. However, existing MIL aggregators are still typically trained from scratch for each downstream task, relying on limited sli... read more 
Computer Vision and Pattern Recognition cs.AI

VideoSEMA: a scalable and efficient Mamba-like attention for video understanding

arXiv Jul 16, 2026
We present for video understanding (classification) a split space-time attention model, VideoSEMA, consisting of a scalable and efficient Mamba-like attention (SEMA) block in space and a softmax temporal attention in time. In each frame, SEMA attenti... read more 
Computer Vision and Pattern Recognition cs.AI

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

arXiv Jul 16, 2026
Deep learning models for prostate MRI-based cancer grading may encode clinical covariates that either reflect useful disease-related signal or non-generalising shortcut information, but their role is usually assumed. We propose a causal-reasoning fra... read more 
Computer Vision and Pattern Recognition
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