Artificial Intelligence Medical Compendium

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

Showing 17,831 to 17,840 of 214,033 articles

Artificial intelligence iterative imaging reconstruction with low-dose CT scans for hepatic metastases.

Scientific reports
Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospective study aimed to assess the capability of artificial intelligence iterative reconstruction (AIIR) in low-dose CT for detection of hepatic metastases... read more 

Integrating machine learning and multi-criteria decision analysis for health risk management in water distribution networks.

Scientific reports
Leakages and breaks in water distribution networks (WDNs) cause significant water losses and pose health risks due to pathogen intrusion. The Water Safety Plan (WSP), developed by the World Health Organization (WHO), provides a comprehensive framewor... read more 

Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data.

Scientific reports
Single cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the cell type annotation, which is usually inferred by... read more 

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.

Scientific reports
As the usage of digital financial transactions continue to swell, it becomes all the more crucial to employ classifiers with machine learning techniques in order to process credit card fraud detection. While complex ensemble models can reach incredib... read more 

Identification and diagnosis of flow instability in parallel channel systems using machine learning.

Communications engineering
Density wave oscillations in parallel thermal-fluid systems threaten operational safety due to uneven flow and instability. Predicting these oscillations is a critical challenge for both forced and natural circulation systems. Here, we demonstrate an... read more 

Clinical setting-dependent diagnostic accuracy of artificial intelligence and store-and-forward diabetic retinopathy screening: a systematic review and meta-analysis.

NPJ digital medicine
Population-based diabetic retinopathy (DR) screening requires diagnostic strategies that optimize clinical utility by balancing missed disease against referral burden. We performed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses ... read more 

Osteoarthritis phenotypes: advancing precision medicine through clinical, structural, and molecular stratification.

International orthopaedics
PURPOSE: Osteoarthritis (OA) is now understood as a heterogeneous syndrome driven by diverse biological, biomechanical, metabolic, genetic, and molecular mechanisms. This variability explains differences in disease progression and treatment response,... read more 

Standardization of surgical gesture taxonomy: a SAGES Delphi consensus study.

Surgical endoscopy
INTRODUCTION: Artificial intelligence (AI) for surgical workflow analysis often fails to generalize because surgical actions lack a standardized, fine-grained representation. Gesture-level "tokenization" of surgery, capturing instrument-tissue intera... read more 

Technological Integration in Aesthetic Practice: A Systematic Review of Artificial Intelligence, Augmented Reality and Robotics in Cosmetic Procedures.

Aesthetic plastic surgery
BACKGROUND: Artificial intelligence (AI), augmented reality (AR), and robotics are rapidly transforming aesthetic practice. Despite their growing integration, evidence on their clinical applications, performance, and challenges in cosmetic procedures... read more