Artificial Intelligence Medical Compendium

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

Showing 2,531 to 2,540 of 167,235 articles

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Head & neck
PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carci... read more 

AutoML-Driven Soft Sensors for Real-Time Monitoring of Amino Acids in Mammalian Perfusion Cultures.

Biotechnology and bioengineering
Mammalian perfusion culture offers high productivity for complex biologics but presents operational challenges in maintaining process stability. Real-time monitoring is essential to address such challenges while traditional analytical methods often f... read more 

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research
Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ... read more 

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more 

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst
RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more 

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research
BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more 

Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping-Based Exploration.

Journal of personality
OBJECTIVE: The application of digital phenotyping in personality research leverages smartphone-generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs)... read more 

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Phytotherapy research : PTR
Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular communication via various ligands and manage numerous biological processes such as cell growth, differentiation, and metabolism. However, dysregulatio... read more 

NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

The Analyst
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi... read more 

Lumefantrine co-amorphous systems using deoxycholic acid as a co-former: NIR at-line process monitoring by machine learning.

Bio-medical materials and engineering
BackgroundVarious methods have been reported for improving the water-insoluble drugs in oral administration formulations. Among them, amorphization has been attracting attention and developed as a method for solubilizing API (active pharmaceutical in... read more