Artificial Intelligence Medical Compendium

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

Showing 9,531 to 9,540 of 208,566 articles

[MRI-based deep learning model for preoperative prediction of urothelial carcinoma with variant histology of bladder: a retrospective, multicenter study].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Objectives: To develop a deep learning model based on magnetic resonance imaging (MRI) for the preoperative prediction of urothelial carcinoma with variant histology (VUC), and to evaluate its predictive performance and prognostic stratification valu... read more 

[Application research and evolutionary history of risk prediction models for postoperative pancreatic fistula after pancreaticoduodenectomy].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Postoperative pancreatic fistula (POPF) is a severe complication following pancreaticoduodenectomy,among which clinically relevant postoperative pancreatic fistula has garnered substantial attention due to its high incidence (10% to 25%) and fatal co... read more 

Artificial intelligence for reducing metal artifacts in dental CBCT images: a systematic review.

Dento maxillo facial radiology
OBJECTIVES: The presence of metallic restorations introduces severe artifacts that compromise diagnostic accuracy of cone beam computed tomography (CBCT) images. This systematic review aims to evaluate the effectiveness of artificial intelligence (AI... read more 

Protonation and magnesium ions shape the transition state diversity of phosphoanhydride hydrolysis in water.

Nature communications
Phosphoanhydride hydrolysis is a central reaction in biochemistry, powering processes from biosynthesis to molecular motors. Yet, its solution mechanism and the molecular origins of the catalytic effects of protonation and magnesium ions remain elusi... read more 

An enhanced hypergraph CNN with adaptive focal loss for automated ECG heartbeat classification.

Scientific reports
Deep learning techniques have shown significant promise for the automated diagnosis of CVD using ECG analysis. Nevertheless, several critical challenges persist with current approaches: severe class imbalance, intricate temporal dependencies, and poo... read more 

A novel data augmentation method and a data-driven prediction model for surface flashover at gas-solid interfaces under nanosecond pulses.

Scientific reports
Surface flashover at gas-solid interfaces is a critical factor in electromagnetic pulse simulator reliability. To accurately predict flashover events over a wide surface distance range (15-500 mm), this paper develops a machine-learning-based classif... read more 

Swarm intelligence-guided ROI selection for deep learning assessment of HER2 in colorectal cancer.

Scientific reports
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) status in colorectal cancer (CRC) is pivotal for precision therapy, yet the gigapixel resolution of Whole Slide Images (WSIs) presents a significant computational bottleneck for t... read more 

Application of machine learning algorithms for prediction of abortion and its determinants among women of reproductive-age in East African countries.

Scientific reports
In low- and middle-income nations, abortion ranks among the top five causes of maternal mortality. It is associated to a pregnancy and childbirth-related complications. Despite this, there are few scientific researches focusing on predicting abortion... read more 

Diagnosing morphology-vitality relationships through multifractal urban form metrics and explainable machine learning.

Scientific reports
Understanding how urban morphology is associated with urban vitality is important for sustainable urban regeneration, yet conventional density-based indicators often fail to capture cross-scale heterogeneity in three-dimensional urban form. This stud... read more 

Colorless image processing technique combining chromaticity transfer and image feature extraction in visual graphic design.

Scientific reports
This study presents a verifiable framework for high-fidelity colorless image processing by integrating depth-guided chrominance transfer with multi-level feature extraction. To address critical limitations of traditional methods-color inconsistency, ... read more