[HTML][HTML] Recent advances in utility of artificial intelligence towards multiscale colloidal based materials design

AA Moud - Colloid and Interface Science Communications, 2022 - Elsevier
Colloidal material design necessitates a collection of computer approaches ranging from
quantum chemistry to molecular dynamics and continuum modeling. Machine learning (ML) …

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 …

[HTML][HTML] Medical image analysis based on deep learning approach

M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

Basic of machine learning and deep learning in imaging for medical physicists

L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …

A survey on deep reinforcement learning architectures, applications and emerging trends

S Balhara, N Gupta, A Alkhayyat, I Bharti… - IET …, 2022 - Wiley Online Library
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

[HTML][HTML] Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network

D Yoon, HJ Kong, BS Kim, WS Cho, JC Lee, M Cho… - Scientific reports, 2022 - nature.com
Computer-aided detection (CADe) systems have been actively researched for polyp
detection in colonoscopy. To be an effective system, it is important to detect additional …

Improving the computer-aided estimation of ulcerative colitis severity according to mayo endoscopic score by using regression-based deep learning

G Polat, HT Kani, I Ergenc… - Inflammatory Bowel …, 2023 - academic.oup.com
Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …

[HTML][HTML] Role of artificial intelligence in video capsule endoscopy

I Tziortziotis, FM Laskaratos, S Coda - Diagnostics, 2021 - mdpi.com
Capsule endoscopy (CE) has been increasingly utilised in recent years as a minimally
invasive tool to investigate the whole gastrointestinal (GI) tract and a range of capsules are …

Artificial intelligence in inflammatory bowel disease endoscopy: advanced development and new horizons

Y Chang, Z Wang, HB Sun, YQ Li… - … research and practice, 2023 - Wiley Online Library
Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes:
Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology …

Automated multimodal machine learning for esophageal variceal bleeding prediction based on endoscopy and structured data

Y Wang, Y Hong, Y Wang, X Zhou, X Gao, C Yu… - Journal of Digital …, 2023 - Springer
Esophageal variceal (EV) bleeding is a severe medical emergency related to cirrhosis. Early
identification of cirrhotic patients with at a high risk of EV bleeding is key to improving …