AI Medical Compendium

Predicting postoperative atrial fibrillation after cardiac surgery using machine learning.

Journal of clinical anesthesia May 5, 2026

BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with increased morbidity. However, existing risk scores have limited accuracy, highlighting the need for more effective predictio... read more

Deep learning-driven detection of municipal sludge moisture content based on feature images of compressed slices.

Journal of environmental management May 5, 2026

Traditional sludge moisture content detection methods suffer from response lag and insufficient accuracy within the critical dewatering range of 70%-85%. To address these limitations, this study proposes a novel rapid detection strategy that integrat... read more

Uncovering spatial clustering and heterogeneity of energy consumption drivers of wastewater treatment plants in China: A shap-lisa integrated approach.

Journal of environmental management May 5, 2026

Under China's "dual carbon" targets and the forthcoming 15th Five-Year Plan, improving energy efficiency in wastewater treatment plants (WWTPs) is a pressing environmental management challenge, yet the spatial heterogeneity of energy consumption rema... read more

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

Archives of pathology & laboratory medicine May 5, 2026

CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a lesion on initial hematoxylin-eosin sections is common. However, this practice lacks standardization, a... read more

Examination of Pathologist-Artificial Intelligence Interactions and Their Impact on Pathologist Accuracy Using Artificial Intelligence-Assisted Scoring of Immunohistochemistry for Human Epidermal Growth Factor Receptor 2.

Archives of pathology & laboratory medicine May 5, 2026

CONTEXT.—: Advances in computer vision have fueled the development of artificial intelligence (AI)-based algorithms for pathology. AI-assisted approaches may streamline the diagnostic workflow and reduce variability. OBJECTIVE.—: To assess the impact... read more

Diuretic Ultrasound Evaluation of Surgical Necessity in Pediatric Ureteropelvic Junction Obstruction.

Academic radiology May 5, 2026

RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model using diuretic ultrasonography to predict the necessity for surgical intervention in children aged 1 month to 18 years with ureteropelvic junction obst... read more

Re: Artificial Intelligence Tools Expand Scientists' Impact but Contract Science's Focus.

European urology May 5, 2026

Applying Artificial Intelligence Technologies to Detect Pancreatic Ductal Adenocarcinoma Using Routine Laboratory Tests: A Pilot Study with the Aid of Machine Learning Suitable for a Small Data Analysis.

Internal medicine (Tokyo, Japan) May 5, 2026

Objective This study aimed to investigate whether artificial intelligence could identify pancreatic ductal adenocarcinoma (PDAC) in patients aged <70 years using only routine laboratory tests (RLTs) applicable to regular health checkups. Methods The ... read more

From mechanisms to machine learning: an AI-enabled framework for biochar-based remediation of polyaromatic hydrocarbons (PAHs).

Waste management (New York, N.Y.) May 5, 2026

Biochar is a carbon-rich byproduct of biomass pyrolysis. It has emerged as a promising tool in environmental biomanufacturing specifically for the remediation of polycyclic aromatic hydrocarbons (PAHs). PAHs are persistent organic pollutants with sig... read more

Global Trends in Postoperative Sepsis After Pancreatoduodenectomy: A Bibliometric Analysis.

The Journal of surgical research May 5, 2026

INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clinical studies have explored its risk factors and management, the global research landscape and evolvin... read more

Artificial Intelligence Medical Compendium