Artificial Intelligence Medical Compendium

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

Showing 11,941 to 11,950 of 210,187 articles

Guess the Unified Model: How Much Can We Recover from Generated Images?

arXiv
With unified model-generated images now widespread online, attributing their model of origin offers a path toward transparency and deeper insight into the characteristic behaviors of individual models. Prior work has explored provenance in LLM-genera... read more 

First, do no harm: Breaking suicidogenic echo chambers in media recommendation

arXiv
Recommender systems generally optimises user engagement, but this approach is dangerous in mental health contexts. When vulnerable users show signs of suicidal ideation, standard algorithms often trap them in echo chambers of harmful content, worseni... read more 

DeltaCam: Differential Intrinsic Camera Modeling for Video Generation

arXiv
Incorporating camera intrinsics into video generation models offers a principled way to control not only scene dynamics but also the imaging process that governs visual appearance. Prior work has primarily focused on extrinsic control, such as camera... read more 

Geometry-Aware Image Flow Matching

arXiv
Recent advances in generative models highlight the power of geometry-aware modeling in manifold-constrained settings. Yet, for natural images, the field remains confined to Euclidean assumptions, failing to exploit the potential of intrinsic geometri... read more 

Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction

arXiv
Effective features are crucial for predictive model performance, but creating them often requires domain expertise, limiting scalability across applications. We define feature engineering as an agentic code generation problem: features are not static... read more 

A Principled Self-Referenced Early Stopping Approach for Deep Image Prior

arXiv
Recently, Deep Image Prior (DIP) has demonstrated strong capabilities for solving inverse imaging problems (IIPs) by optimizing a randomly initialized convolutional neural network in a training-data-free regime. However, DIP suffers from overfitting ... read more 

Machine learning-assisted carbon dot sensing for iron speciation in Auricularia auricula soaking solutions under various processing conditions.

Food chemistry
Accurate iron speciation in Auricularia auricula soaking solution is essential for evaluating nutritional quality, as bioavailability depends on its valence state (Fe2+/ Fe3+). Herein, a machine learning-assisted fluorescent sensing strategy based on... read more 

Computational fluid dynamics and machine learning modeling of drug delivery by hydroxypropyl methylcellulose.

International journal of pharmaceutics
This study integrates computational fluid dynamics (CFD) simulations with machine learning (ML) models to develop a framework for predicting drug release from hydroxypropyl methylcellulose (HPMC) matrices. Transient, three-dimensional CFD models were... read more 

Paravertebral Muscle Fat Infiltration and Other Imaging Predictors of Cement Nonunion Following Percutaneous Kyphoplasty: A Multivariable Modeling Study.

World neurosurgery
OBJECTIVE: To identify risk factors for postoperative cement nonunion in patients with OVCF and to develop prediction models for clinical risk stratification. METHODS: A retrospective cohort of 237 patients with primary OVCF was analyzed, including 1... read more