AIMC Topic: Diagnostic Tests, Routine

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Machine Learning in Detection of Undiagnosed Celiac Disease.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Egg Excretion does not Increase after Exercise: Implications for Diagnostic Testing.

The American journal of tropical medicine and hygiene
Children are frequently invited to exercise before micturition, as it is believed that this activity will result in higher egg excretion, and hence, increases sensitivity of microscopic diagnoses. However, the evidence of this recommendation is scan...

Noninvasive Evaluation of Portal Hypertension Using a Supervised Learning Technique.

Journal of healthcare engineering
Portal hypertension (PHT) is a key event in the evolution of different chronic liver diseases and leads to the morbidity and mortality of patients. The traditional reliable PHT evaluation method is a hepatic venous pressure gradient (HVPG) measuremen...

A doubly robust approach for cost-effectiveness estimation from observational data.

Statistical methods in medical research
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...

Machine-learned pattern identification in olfactory subtest results.

Scientific reports
The human sense of smell is often analyzed as being composed of three main components comprising olfactory threshold, odor discrimination and the ability to identify odors. A relevant distinction of the three components and their differential changes...

Practical considerations for implementation of syndromic panel and diagnostic stewardship in the era of syndromic panel testing.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
BACKGROUND: The significant advancements in the development of syndromic panel testing for infectious diseases have brought about a paradigm shift in the clinical microbiology laboratory and the practices of Infectious Diseases Physicians. Due to the...

Integrating artificial intelligence into diagnostic testing for parasitic disease.

The Veterinary record
With artificial intelligence becoming increasingly embedded in society, some are questioning whether it could also be used to support the diagnosis and management of parasitic disease.

A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.

BMC medical informatics and decision making
BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread application across various domains, showing encouraging outcomes. Many studies have utilized AI to forecast emergency department (ED) disposition, aiming to f...

Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.

Clinical and experimental medicine
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in diabetes-related amputation (DRA) remains unclear. From establishing the database until December 2024, we conducted a comprehensive search of PubMed, We...