Redefining radiology: a review of artificial intelligence integration in medical imaging

R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

Artificial intelligence & clinical nutrition: What the future might have in store

A Bond, K Mccay, S Lal - Clinical nutrition ESPEN, 2023 - Elsevier
Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …

Sensing of Digestive Enzymes—Diagnosis and Monitoring of Pancreatitis

J Yin, T Cui, Y Yang, TL Ren - Chemosensors, 2023 - mdpi.com
This paper is a comprehensive review of the techniques for the detection of pancreatic
enzymes, which are common biochemical indicators of pancreatitis, including amylase …

Deep learning applications in pancreatic cancer

H Patel, T Zanos, DB Hewitt - Cancers, 2024 - mdpi.com
Simple Summary The application of artificial intelligence (AI) in healthcare is expanding
rapidly and is everchanging. This review focuses on the application of AI, specifically Deep …

Current Trends and Developments in Radiologic Assessment of Chronic Pancreatitis

S Nalliah, EB Mark, SS Olesen, TM Hansen… - … Treatment Options in …, 2024 - Springer
Current Trends and Developments in Radiologic Assessment of Chronic Pancreatitis | Current
Treatment Options in Gastroenterology Skip to main content SpringerLink Account Menu Find …

[HTML][HTML] Feasibility of deep learning-reconstructed thin-slice single-breath-hold HASTE for detecting pancreatic lesions: A comparison with two conventional T2 …

K Liu, Q Li, X Wang, C Fu, H Sun, C Chen… - Research in Diagnostic …, 2024 - Elsevier
Objective The objective of this study was to evaluate the clinical feasibility of deep learning
reconstruction-accelerated thin-slice single-breath-hold half-Fourier single-shot turbo spin …

Measurement of the distal bile duct density on computed tomography can differentiate choledocholithiasis from a control population

N Bull, J Goonawardena, L Hua, D Lim… - ANZ Journal of …, 2024 - Wiley Online Library
Purpose Hounsfield unit density of biliary fluid on CT may be a useful clinical marker that
has not been described in the literature. This method has been used to differentiate …

ГЛУБОКОЕ МАШИННОЕ ОБУЧЕНИЕ В СЕГМЕНТАЦИИ ГИПО-И ГИПЕРВАСКУЛЯРНЫХ ОБРАЗОВАНИЙ ПОДЖЕЛУДОЧНОЙ ЖЕЛЕЗЫ ПО КТ …

КА ЗАМЯТИНА, ЕВ КОНДРАТЬЕВ… - ДИАГНОСТИЧЕСКАЯ …, 2023 - elibrary.ru
Цель исследования: обзор и анализ имеющейся зарубежной литературы,
посвященной работам по машинному обучению в КТ-диагностике образований …

Innovation In Radiology: A Comprehensive Systematic Review On The Effectiveness Of Technology In Enhancing Diagnostic Capabilities And Patient Outcomes

AA Shalani, MA Mokli, KA Shibli… - Journal of Namibian …, 2023 - namibian-studies.com
Background: The health-care sector is using Artificial Intelligence (AI), Chat GPT, and
machine learning (ML) to improve diagnostic accuracy and patient outcomes. These …