Artificial Intelligence Medical Compendium

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

Showing 11,001 to 11,010 of 209,601 articles

3D craniofacial generative model for surgical planning in mandibular reconstruction.

Medical image analysis
Mandibular reconstruction following segmental resection for oral tumors is a complex procedure necessitating precise restoration of both masticatory function and facial aesthetics. Current Computer-Assisted Surgery (CAS) workflows remain fragmented, ... read more 

The Italian hand hygiene project: A joint-commission Italian network analysis.

Journal of infection and public health
BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global compliance remains suboptimal. This study analyzed a substantial Italian dataset, focusing on adheren... read more 

Interpretable and non-linear machine learning models for quantitative ICG perfusion assessment in colorectal cancer anastomosis: A feasibility study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Anastomotic leakage (AL) remains a major complication after colorectal cancer surgery (CCS). Intraoperative indocyanine green (ICG) fluorescence angiography is widely used to assess bowel perfusion, but interpretation is largely subjectiv... read more 

Artificial intelligence in food technology and processing: a review.

Journal of food science and technology
UNLABELLED: The food industry faces numerous challenges, including ensuring food safety, managing supply chain disruptions, meeting changing consumer demands, addressing climate change impacts, and reducing food waste. Artificial Intelligence (AI) of... read more 

Dynamics-informed multigraph neural networks for protein thermostability prediction and residue-level interpretation.

iScience
Thermostability is crucial for protein engineering, but experimental determination of melting temperatures is costly and time-consuming. Most existing machine learning approaches for melting temperature prediction rely on sequential and structural fe... read more 

AI-based histopathology analysis predicts checkpoint inhibitor response in advanced melanoma and identifies patterns associated with response.

European journal of cancer (Oxford, England : 1990)
INTRODUCTION: Readily available predictive biomarkers for immune checkpoint inhibitor (ICI) response in advanced melanoma are limited. This study evaluates the predictive value of AI-based histopathology analysis. METHODS: Patients with advanced cuta... read more 

i2b2-ML: module to facilitate machine learning in the informatics for integrating biology and the bedside platform.

JAMIA open
OBJECTIVE: Although machine learning (ML) holds significant potential to transform healthcare, there has been a recent surge in research output that often lacks methodological rigor, contributing to a reproducibility crisis. Additionally, the growing... read more 

Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing

arXiv
Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing patterns and 3D draped geometry, which requires professional training t... read more 

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

arXiv
Deploying high-performing 3D medical image segmenters (e.g., nnU-Net) is often limited by memory footprint and inference latency. Compression is therefore necessary, but compact 3D encoders tend to lose fine structural cues (small lesions and sharp b... read more