Artificial Intelligence Medical Compendium

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

Showing 17,261 to 17,270 of 213,726 articles

Customer churn prediction in privacy-preserving HashCode-based security abstractions.

Scientific reports
This research presents a HashCode-based security abstraction that implements privacy-by-design in customer churn statistics, safeguarding identity while maintaining analytical integrity. A set of machine learning and deep learning models, including L... read more 

A workflow utilizing general-purpose large language models for efficient structuring and data mining of bone scintigraphy narratives.

Scientific reports
Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes efficient data management and multicenter integration. This study aims to validate whether a clinical-l... read more 

RDE-DR: robust deep ensemble CNNs for automated diabetic retinopathy detection from fundus images.

Scientific reports
Diabetic retinopathy (DR) is a leading cause of preventable blindness, motivating the development of reliable automated screening systems. This work proposes a Robust Deep Ensemble for Diabetic Retinopathy detection (RDE-DR) by analyzing ensemble fus... read more 

Illicit Bitcoin transaction detection via feature-gated temporal graph learning.

Scientific reports
Illicit transaction detection is a key task in blockchain anti-money laundering, yet it remains challenging due to temporal graph evolution, severe class imbalance, and the difficulty of preserving informative transaction attributes during representa... read more 

IL-HS: a deep inception-LSTM architecture for enhanced lithological mapping using EnMAP hyperspectral remote sensing data.

Scientific reports
Accurate lithological mapping in semi-arid and geologically complex regions is crucial for advancing geoscientific understanding and guiding mineral exploration, yet it remains a technically challenging task. Here, we introduce the Inception-LSTM Hyp... read more 

Comparative prognostic value of TyG index and TyG-BMI for 90-day all-cause mortality in critically ill older adults with ASCVD: a machine learning analysis of the MIMIC-IV database.

Cardiovascular diabetology
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistance and metabolic risk. However, their comparative prognostic value in critically ill older adults wi... read more 

Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.

Cardiovascular diabetology
BACKGROUND: Individuals with prediabetes face an increased risk of cardiovascular (CV) complications, which can ultimately lead to premature mortality. However, existing risk stratification tools are not targeted for people with prediabetes. We aimed... read more 

Machine Learning-Enabled Fast-Scan STEM for the Precise Identification of Labile Single-Atom Sites.

Nano letters
The catalytic performance of single-atom catalysts (SACs) is predominantly governed by their local atomic environment. However, directly resolving the transient configurations of individual atoms remains challenges for inherent thermal fluctuations a... read more 

Assessing ChatGPT's responses to office ergonomics and spine health questions.

International journal of occupational safety and ergonomics : JOSE
The objective of this study was to assess ChatGPT's responses to common office ergonomics and spine health questions. ChatGPT was asked the 50 most frequent questions about 'office ergonomics and spine health' and evaluated by 10 experts on a scale o... read more 

Growth Hormone Treatment Response and Machine Learning-Based Prediction in Idiopathic GHD and ISS: Analysis of the Korean LG Growth Study.

Clinical endocrinology
OBJECTIVE: Individual responses to recombinant human growth hormone (rhGH) therapy vary widely among children with idiopathic growth hormone deficiency (iGHD) and idiopathic short stature (ISS), making accurate prediction of treatment outcomes clinic... read more