Artificial Intelligence Medical Compendium

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

Showing 71,411 to 71,420 of 234,892 articles

SemiDDM-weather: A semi-supervised learning framework for all-in-one adverse weather removal.

Neural networks : the official journal of the International Neural Network Society
Adverse weather removal aims to restore clear vision under adverse weather conditions. Existing methods are mostly tailored for specific weather types and rely heavily on extensive labeled data. In dealing with these two limitations, this paper prese... read more 

Investigating the potential of combining Raman spectroscopy and machine learning for gestational age classification in rat cervical tissue.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Spontaneous preterm birth (SPB) is a leading cause of neonatal morbidity and mortality worldwide. It occurs when the uterine cervix (UC) opens prematurely due to various biological factors. Early detection is crucial to reducing its adverse outcomes.... read more 

Augmenting decision making in acute care surgery: A systematic review of machine learning-driven risk prediction models.

The journal of trauma and acute care surgery
BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity for preoperative planning. While machine learning (ML) may improve risk prediction and decision making in this setting, its development, validation, a... read more 

Predictive factors for inter-agency partnership success.

Evaluation and program planning
Building partnerships among development cooperation agencies strengthens their collective capacity. However, 2 partnerships out of 10 fail to achieve their intended objectives. Ex-ante evaluation of future partnerships should help attain a higher rat... read more 

Influences of growth media and culture time on the SERS spectral patterns of three common pathogenic bacteria: a comparative analysis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for clinical microorganism identification, offering significant advantages over traditional culture-based methods, including minimal sample requirements, rapid detection, and o... read more 

Development of an Explainable Machine Learning Model to Predict Mortality Risk in Sepsis Patients: Insights From a Real-World Clinical Data.

Shock (Augusta, Ga.)
BACKGROUND: Sepsis is a life-threatening dysregulated host response to infection; early risk stratification is essential to guide intensive care. OBJECTIVE: To develop and interpret a machine learning model for predicting in-hospital mortality among ... read more 

Early Childhood Ear Diseases and Traumatic Dental Injuries: A Machine Learning Approach.

Dental traumatology : official publication of International Association for Dental Traumatology
OBJECTIVE: Traumatic dental injury (TDI) is the world's fifth most common injury affecting children and adolescents. This study aimed to predict TDI based on ear problems and other factors among Australian children aged 4 years or over. METHODS: We u... read more 

Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture.

Angiology
Artificial intelligence (AI) and machine learning (ML) are emerging tools in the management of abdominal aortic aneurysms (AAA). They have offered new tools to develop advanced imaging analysis and prediction models. This narrative review summarizes ... read more