Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth in its application to healthcare and beyond, and is now an integral part of daily life. Uses of AI in gastroenterology include the automated detection of disease and differentiation of pathology subtypes and disease severity. Although a majority of AI research in gastroenterology focuses on adult applications, there are a number of pediatric pathologies that could benefit from more research. As new and improved diagnostic tools become available and more information is retrieved from them, AI could provide physicians a method to distill enormous amounts of data into enhanced decision-making and cost saving for children with digestive disorders. This review provides a broad overview of AI and examples of its possible applications in pediatric gastroenterology.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934912 | PMC |
| http://dx.doi.org/10.1097/MPG.0000000000002507 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Early Versus Delayed Antihypertensive Treatment After Acute Ischemic Stroke by Hypertension History.
Stroke
January 2025
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China. (X.X., X.L., Y.P., Yufei Wei, Y.J., M.W., J.J., X.M., Yilong Wang, Yongjun Wang, L.L.).
Background: We performed a prespecified subgroup analysis of the CATIS-2 trial (China Antihypertensive Trial in Acute Ischemic Stroke II) to compare the effect of early versus delayed antihypertensive treatment on death and disability in patients with and without medical history of hypertension.
Methods: CATIS-2 is a multicenter randomized clinical trial conducted in 106 hospitals in China. The trial randomized 4810 patients with acute ischemic stroke within 24 to 48 hours of symptom onset and elevated systolic blood pressure between 140 and <220 mm Hg to receive antihypertensive treatment immediately after randomization or to discontinue antihypertensive medications for 7 days and then receive treatment on day 8.
Severity of metabolic derangement predicts survival after out-of-hospital cardiac arrest and the likelihood of benefiting from extracorporeal life support.
Emergencias
December 2024
Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seúl, República de Corea. Department of Digital Health, SAIHST, Sungkyunkwan University, Seúl, República de Corea.
Objective: To develop a Metabolic Derangement Score (MDS) based on parameters available after initial testing and assess the score's ability to predict survival after out-of hospital cardiac arrest (OHCA) and the likely usefulness of extracorporeal life support (ECLS).
Methods: A total of 5100 cases in the Korean Cardiac Arrest Research Consortium registry were included. Patients' mean age was 67 years, and 69% were men.
Background: Diabetic kidney disease (DKD) is one of the typical complications of type 2 diabetes (T2D), with approximately 10 % of DKD patients experiencing a Rapid decline (RD) in kidney function. RD leads to an increased risk of poor outcomes such as the need for dialysis. Albuminuria is a known kidney damage biomarker for DKD, yet RD cases do not always show changes in albuminuria, and the exact mechanism of RD remains unclear.
View Article and Find Full Text PDFDeveloping Mobile Health Applications for Inflammatory Bowel Disease: A Systematic Review of Features and Technologies.
Middle East J Dig Dis
October 2024
Department of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran.
Background: Patients with inflammatory bowel disease (IBD) require lifelong treatment, which significantly impacts their quality of life. Self-management of this disease is an effective factor in managing chronic conditions and improving patients' quality of life. The use of mobile applications is a novel approach to providing self-management models and healthcare services for patients with IBD.
View Article and Find Full Text PDFRevolutionizing healthcare in KSA: A deep dive into clinical practice guideline development and implementation.
J Taibah Univ Med Sci
December 2024
King Saud Medical City, Ministry of Health & College of Medicine, Alfaisal University Riyadh, KSA.
KSA is transforming its healthcare system by developing and implementing Clinical Practice Guidelines (CPGs), a tool designed to improve patient outcomes, standardize care, and facilitate evidence-based decision-making. CPGs are crucial in addressing healthcare disparities, thereby promoting health equity and patient experience. They are integral to KSA's healthcare transformation agenda.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!