Artificial Intelligence Medical Compendium

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

Showing 18,681 to 18,690 of 214,544 articles

Stacking-Dependent Interfacial Water Dynamics Govern the Aqueous Degradation of Layered LiCoO2 Cathodes.

ChemSusChem
Despite their high energy density, layered cathode materials suffer from instability in aqueous lithium-ion batteries. LiCoO2, as a prototypical layered oxide cathode, exhibits a pronounced dependence of aqueous stability on oxygen stacking, with mar... read more 

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media

arXiv
Evaluating object removal in images and videos remains challenging because the task is inherently one-to-many, yet existing metrics frequently disagree with human perception. Full-reference metrics reward copy-paste behaviors over genuine erasure; no... read more 

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation

arXiv
Inpatient medication recommendation requires clinicians to repeatedly select specific medications, doses, and routes as a patient's condition evolves. Existing benchmarks formulate this task as admission-level prediction over coarse drug codes with m... read more 

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework

arXiv
Artificial intelligence in high-stakes tabular domains cannot be evaluated by predictive performance alone, yet current practice still assesses explainability, fairness, robustness, privacy, and sustainability mostly in isolation. We propose the Mode... read more 

LiWi: Layering in the Wild

arXiv
Recent advances in generative models have empowered impressive layered image generation, yet their success is largely confined to graphic design domains. The layering of in-the-wild images remains an underexplored problem, limiting fine-grained editi... read more 

SpectraFlow: Unifying Structural Pretraining and Frequency Adaptation for Medical Image Segmentation

arXiv
Medical image segmentation remains challenging in low-data regimes, where scarce annotations often yield poor generalization and ambiguous boundaries with missing fine structures. Recent self-supervised pretraining has improved transferability, but i... read more 

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction

arXiv
Reconstructing dynamic visual experiences as videos from functional magnetic resonance imaging (fMRI) is pivotal for advancing the understanding of neural processes. However, current fMRI-to-video reconstruction methods are hindered by a semantic gap... read more 

Let Robots Feel Your Touch: Visuo-Tactile Cortical Alignment for Embodied Mirror Resonance

arXiv
Observing touch on another's body can elicit corresponding tactile sensations in the observer, a phenomenon termed mirror touch that supports empathy and social perception. This visuo-tactile resonance is thought to rely on structural correspondence ... read more 

Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation

arXiv
Accurate medical image segmentation is fundamental to precision medicine, yet robust delineation remains challenging under heterogeneous appearances, ambiguous boundaries, and large anatomical variability. Similar intensity and texture patterns betwe... read more 

A Picture is Worth a Thousand Words? An Empirical Study of Aggregation Strategies for Visual Financial Document Retrieval

arXiv
Visual RAG has offered an alternative to traditional RAG. It treats documents as images and uses vision encoders to obtain vision patch tokens. However, hundreds of patch tokens per document create retrieval and storage challenges in a vector databas... read more