Artificial Intelligence Medical Compendium

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

Showing 25,081 to 25,090 of 217,472 articles

Number of types of synaesthesia can be predicted by structural and functional neuroimaging data.

Neuropsychologia
It has been suggested that synaesthetes have a distinct neurocognitive profile with a broad variety of cognitive and behavioural differences. Recent studies have shown that people with more types (relative to fewer types) of synaesthesia are easier t... read more 

How receptor conformation depends on lipid nanodisc size: Adenosine A2A receptor and implications for class-A GPCR proteins.

Biochimica et biophysica acta. Biomembranes
Nanodiscs have become an exceptionally valuable tool to explore membrane proteins in an environment resembling native membranes. However, it remains unclear how well the lipid nanodisc environment matches the conditions under which membrane proteins ... read more 

Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cervical metastatic lymph nodes (GTVn) in nasopharyngeal carcinoma (NPC) to construct a multi-target synergistic prediction model. The goal is to achieve ... read more 

Source characterization of trace elements and impacts of salinization using geochemical modelling with machine learning approach and Monte-Carlo based health risk assessment in coastal aquifer zones.

Environmental pollution (Barking, Essex : 1987)
This work investigated the trace element contamination, spatial distribution and their source of origin along with health risk assessment in the coastal region of eastern India. Geochemical modelling, Principal Component Analysis-Multiple Linear Regr... read more 

A physically constrained and interpretable deep learning framework for PM2.5 inversion under sparse monitoring conditions in arid regions.

Environmental pollution (Barking, Essex : 1987)
Monitoring fine particulate matter (PM2.5) in arid regions remains difficult due to sparse ground-based networks and frequent extreme pollution episodes. Conventional inversion models often fail to capture these sudden concentration spikes. To addres... read more 

Maximizing efficiency of dataset compression for machine learning potentials with information theory.

The Journal of chemical physics
Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their performance often depends on the size and diversity of training datasets. Large datasets improve model... read more 

Trajectory excited-state dynamics study of pyrazine: Assessment of potential energy surfaces and simulation of picosecond timescales.

The Journal of chemical physics
The femtosecond and picosecond excited-state dynamics of pyrazine are studied using full-dimensional trajectory surface hopping (TSH) dynamics simulations. We assess how different types of potential energy surfaces (PESs) influence the simulated dyna... read more 

Pfirrmann Grading and Features of Internal Derangement Identified in Discs Studied By Lumbar Discography in Patients with Chronic Low Back Pain.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Lumbar disc degeneration Pfirrmann Grade (PfGr) is commonly used to evaluate clinical studies assessing patient outcomes or evolving MR imaging sequences. To our knowledge the association between the features of annular intern... read more 

One Perturbation, Two Failure Modes: Probing VLM Safety via Embedding-Guided Typographic Perturbations

arXiv
Typographic prompt injection exploits vision language models' (VLMs) ability to read text rendered in images, posing a growing threat as VLMs power autonomous agents. Prior work typically focus on maximizing attack success rate (ASR) but does not exp... read more 

ResetEdit: Precise Text-guided Editing of Generated Image via Resettable Starting Latent

arXiv
Recent advances in diffusion models have enabled high-quality image generation, leading to increasing demand for post-generation editing that modifies local regions while preserving global structure. Achieving such flexible and precise editing requir... read more