Artificial Intelligence Medical Compendium

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

Showing 40,381 to 40,390 of 223,737 articles

Spin State Manipulation: A Key to High-Efficiency Electrocatalytic Oxygen Evolution Reaction.

ACS applied materials & interfaces Mar 19, 2026
The oxygen evolution reaction (OER) is a critical half-reaction in electrochemical energy conversion, yet its sluggish kinetics poses a major barrier to commercialization. Therefore, the development of efficient and stable electrocatalysts for the OE... read more 

Second-line chemotherapy after gemcitabine plus nab-paclitaxel in metastatic pancreatic cancer: comparative outcomes and AI-guided treatment selection.

The oncologist Mar 19, 2026
BACKGROUND: International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLFIRINOX as second-line (2 L) chemotherapy for patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) after failure of gemcitabine+Nab-paclit... read more 

To See or To Please: Uncovering Visual Sycophancy and Split Beliefs in VLMs

arXiv Mar 19, 2026
When VLMs answer correctly, do they genuinely rely on visual information or exploit language shortcuts? We introduce the Tri-Layer Diagnostic Framework, which disentangles hallucination sources via three metrics: Latent Anomaly Detection (perceptual ... read more 
Computer Vision and Pattern Recognition cs.AI

TARo: Token-level Adaptive Routing for LLM Test-time Alignment

arXiv Mar 19, 2026
Large language models (LLMs) exhibit strong reasoning capabilities but typically require expensive post-training to reach high performance. Recent test-time alignment methods offer a lightweight alternative, but have been explored mainly for preferen... read more 
Computation and Language cs.AI cs.LG

Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?

arXiv Mar 19, 2026
Large vision-language models (LVLMs) demonstrate strong performance in dermatology; however, evaluating diagnostic reasoning for rare conditions remains largely unexplored. Existing benchmarks focus on common diseases and assess only final accuracy, ... read more 
Computer Vision and Pattern Recognition cs.AI

R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation

arXiv Mar 19, 2026
Collecting and annotating datasets for pixel-level semantic segmentation tasks are highly labor-intensive. Data augmentation provides a viable solution by enhancing model generalization without additional real-world data collection. Traditional augme... read more 
Computer Vision and Pattern Recognition cs.AI

AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents

arXiv Mar 19, 2026
Long-horizon GUI agents are a key step toward real-world deployment, yet effective interaction memory under prevailing paradigms remains under-explored. Replaying full interaction sequences is redundant and amplifies noise, while summaries often eras... read more 
Computer Vision and Pattern Recognition

Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images

arXiv Mar 19, 2026
Prostate cancer is a leading cause of mortality in men, yet interpretation of T2-weighted prostate MRI remains challenging due to subtle and heterogeneous lesions. We developed an interpretable framework for automatic cancer detection using a small d... read more 
Computer Vision and Pattern Recognition cs.AI

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images

arXiv Mar 19, 2026
Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and low-cost molecular analysis with broad clinical impact. Despite strong results, existing approaches treat gene expression as a mere slide- or spot-leve... read more 
Computer Vision and Pattern Recognition

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling

arXiv Mar 19, 2026
Existing medical image restoration (Med-IR) methods are typically modality-specific or degradation-specific, failing to generalize across the heterogeneous degradations encountered in clinical practice. We argue this limitation stems from the isolati... read more 
Computer Vision and Pattern Recognition
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