AI Medical Compendium

AI-Derived Electronic Tumor Marker For Cancer Antigen 19-9 Nonproducers With Pancreatic Ductal Adenocarcinoma.

JAMA surgery Mar 18, 2026

IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pancreatic ductal adenocarcinoma (PDAC); however, nearly 30% of patients with PDAC do not produce elevated CA19-9. OBJECTIVE: To develop, validate, and ... read more

[Possibilities for integrating artificial intelligence into the diagnostic process].

Radiologie (Heidelberg, Germany) Mar 18, 2026

BACKGROUND: The changing working conditions in routine radiological reporting require the use of new methods, such as the implementation of artificial intelligence (AI) applications. RESEARCH QUESTION: What practical possibilities currently exist to ... read more

A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis.

Kidney360 Mar 18, 2026

BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its application in lupus nephritis (LN) remains underexplored. Earlier reviews have centered on pathologist concordance in LN classification, biomarkers, and ... read more

Comprehensive Structural Descriptors Enable Machine Learning Prediction of Perovskite Band Characteristics.

The journal of physical chemistry letters Mar 18, 2026

Organic-inorganic hybrid and all-inorganic perovskites are promising candidates for next-generation optoelectronics. Accurate prediction of band characteristics is essential for guiding the rational design of high-performance perovskite devices. Alth... read more

Sex estimation from sacral anatomy in Turkish adults: a machine learning-based analysis.

Surgical and radiologic anatomy : SRA Mar 18, 2026

Vector Encoding of Phylogenetic Trees by Ordered Leaf Attachment.

Bulletin of mathematical biology Mar 18, 2026

As part of work to connect phylogenetics with machine learning, there has been considerable recent interest in vector encodings of phylogenetic trees. We present a simple new "ordered leaf attachment" (OLA) method for uniquely encoding a binary, root... read more

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition.

Discover nano Mar 18, 2026

The catalytic decomposition of methane represents an efficient route for carbon nanotube (CNT) synthesis, yet the quantitative prediction of CNT mean diameter under multivariate processing conditions remains challenging. This study aims to develop an... read more

Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair.

CVIR endovascular Mar 18, 2026

BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response following endovascular aneurysm repair (EVAR), characterized by a high frequency of occurrence and the capacity to provoke cardiovascular complications and... read more

Prediction-guided clustering for sepsis phenotyping: a retrospective cohort analysis.

Intensive care medicine experimental Mar 18, 2026

BACKGROUND: Sepsis is a major cause of morbidity and mortality worldwide, with its heterogeneous and dynamically evolving clinical presentation complicating diagnosis, treatment, and prognosis. The identification of clinically meaningful sub-phenotyp... read more

Development and validation of an artificial intelligence-based model for predicting teicoplanin plasma concentrations in intensive care unit patients with pulmonary infections: a retrospective study.

International journal of clinical pharmacy Mar 18, 2026

INTRODUCTION: Teicoplanin is widely used to treat pulmonary infections, particularly in critically ill patients with gram-positive bacterial infections. However, its plasma concentration varies substantially between individuals owing to heterogeneity... read more

Artificial Intelligence Medical Compendium