[HTML][HTML] Artificial intelligence and inflammatory bowel disease: Where are we going?

L Da Rio, M Spadaccini, TL Parigi… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and
relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …

Securing AI‐based healthcare systems using blockchain technology: A state‐of‐the‐art systematic literature review and future research directions

R Shinde, S Patil, K Kotecha, V Potdar… - Transactions on …, 2024 - Wiley Online Library
Healthcare institutions are progressively integrating artificial intelligence (AI) into their
operations. The extraordinary potential of AI is restricted by insufficient medical data for AI …

High-powered magnet exposures in children: a multi-center cohort study

LK Middelberg, JC Leonard, J Shi, A Aranda… - …, 2022 - publications.aap.org
BACKGROUND AND OBJECTIVES High-powered magnets were effectively removed from
the US market by the Consumer Product Safety Commission (CPSC) in 2012 but returned in …

A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: a …

J Li, S Hu, C Shi, Z Dong, J Pan, Y Ai, J Liu… - …, 2022 - thelancet.com
Background Timely identification and regular surveillance of patients at high risk are crucial
for early diagnosis of upper gastrointestinal cancer. However, traditional manual …

[HTML][HTML] Natural language processing for assessing quality indicators in free-text colonoscopy and pathology reports: Development and usability study

JH Bae, HW Han, SY Yang, G Song, S Sa… - JMIR Medical …, 2022 - medinform.jmir.org
Background Manual data extraction of colonoscopy quality indicators is time and labor
intensive. Natural language processing (NLP), a computer-based linguistics technique, can …

Using natural language processing to automatically identify dysplasia in pathology reports for patients with barrett's esophagus

TN Wenker, Y Natarajan, K Caskey, F Novoa… - Clinical …, 2023 - Elsevier
Background & Aims Identifying dysplasia of Barrett's esophagus (BE) in the electronic
medical record (EMR) requires manual abstraction of unstructured data. Natural language …

History, current status, and future directions of artificial intelligence

O Kubassova, F Shaikh, C Melus, M Mahler - Precision Medicine and …, 2021 - Elsevier
Artificial intelligence (AI) as a technology concept is making a major impact on a wide range
of industries and sectors. This is largely attributed to technical advancements in machine …

Large language models: a primer and gastroenterology applications

O Shahab, B El Kurdi, A Shaukat… - Therapeutic …, 2024 - journals.sagepub.com
Over the past year, the emergence of state-of-the-art large language models (LLMs) in tools
like ChatGPT has ushered in a rapid acceleration in artificial intelligence (AI) innovation …

Automated Management of Time Extension Claims

M Elazhary, O Hosny - Journal of Legal Affairs and Dispute …, 2024 - ascelibrary.org
Disputes within the construction industry have caused parties to incur additional costs not
accounted for. Ranking as one of the highest sources of disputes, there is a need to diminish …

Information heterogeneity between progress notes by physicians and nurses for inpatients with digestive system diseases

Y Mashima, M Tanigawa, H Yokoi - Scientific Reports, 2024 - nature.com
This study focused on the heterogeneity in progress notes written by physicians or nurses. A
total of 806 days of progress notes written by physicians or nurses from 83 randomly …