Artificial Intelligence Medical Compendium

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

Showing 37,141 to 37,150 of 223,469 articles

Construction and validation of a prediction model for textbook outcome in distal cholangiocarcinoma undergoing pancreaticoduodenectomy based on six machine learning algorithms.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Textbook outcome (TO) serves as a validated composite metric for short-term surgical quality in pancreaticoduodenectomy (PD) patients. This study developed and validated a machine learning-based model to predict the probability of TO atta... read more 

Biologically-inspired semi-supervised semantic segmentation for biomedical imaging.

Neural networks : the official journal of the International Neural Network Society
We propose a novel bio-inspired two-stage semi-supervised learning approach for training semantic segmentation models based on downsampling-upsampling architectures. The first stage does not use backpropagation. Rather, it exploits the Hebbian princi... read more 

Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs.

Infectious Disease Modelling
This paper introduces a novel stochastic SEIRV model for investigating the spread of the SARS-CoV-2 epidemic using stochastic physics-informed neural networks (S-PINNs). We first prove the global positivity of solutions via Lyapunov functions and Itô... read more 

UniPET: A universal network for high-quality PET image denoising across varied dose reduction factors.

Medical image analysis
Most existing deep learning-based PET image denoising methods assume a fixed and known dose reduction factor (DRF) for low-dose PET images. However, these methods encounter significant performance degradation when the DRF varies beyond the assumed on... read more 

Towards generalizable pathology reports via a multimodal LLM with the multicenter in-context learning.

Medical image analysis
Pathology report generation has received increasing attention in recent years. However, existing pathology report generation methods still face two main limitations: (1) these methods utilize image-report datasets where some report contents are irrel... read more 

Hierarchical cross-attention guided deformable registration with multi-level feature fusion for medical images.

Neural networks : the official journal of the International Neural Network Society
Deformable medical image registration is fundamental for longitudinal diagnosis, surgical planning, and quantitative anatomical analysis, yet achieving accurate and robust alignment remains challenging. Traditional optimization-based methods are comp... read more 

Density-dependent regulation of water use strategies in a desert plantation: stable isotope evidence from the Kubuqi Desert during the growing season.

Water research
Understanding how planting density regulates water-use strategies is crucial for sustainable afforestation in arid regions. In the Kubuqi Desert, stable isotope (δ²H, δ¹⁸O) analysis, Bayesian mixing models (MixSIAR), and machine learning were integra... read more 

Time-resolved dual nanozyme colorimetric array for antioxidant fingerprinting and beverage shelf-life assessment.

Food chemistry
Accurate detection and quantification of antioxidants are vital for human health and food safety. Here a colorimetric sensor array was developed to detect and quantify 8-typical antioxidants using two core-shell gold-nanostar (AuNS) nanozymes: AuNS@C... read more 

Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.

Korean journal of radiology
Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyroid cancer. Thyroid nodules in children present a higher risk of malignancy, more frequent lymph node and distant metastases, and distinct molecular pr... read more