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 in intestinal polyp and colorectal cancer prediction

A Sharma, R Kumar, G Yadav, P Garg - Cancer letters, 2023 - Elsevier
Artificial intelligence (AI) algorithms and their application to disease detection and decision
support for healthcare professions have greatly evolved in the recent decade. AI has been …

Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images

A Sharma, R Kumar, P Garg - International Journal of Medical Informatics, 2023 - Elsevier
Background Gastrointestinal (GI) infections are quite common today around the world.
Colonoscopy or wireless capsule endoscopy (WCE) are noninvasive methods for examining …

A novel intelligent ANFIS for the dynamic model of photovoltaic systems

A Ramadan, S Kamel, I Hamdan, AM Agwa - Mathematics, 2022 - mdpi.com
Developing accurate models for photovoltaic (PV) systems has a significant impact on the
evaluation of the accuracy and testing of PV systems. Artificial intelligence (AI) is the science …

Patient‐centered care: key elements applicable to chronic liver disease

M Verma, M Brahmania, BE Fortune, SK Asrani… - Hepatology, 2023 - journals.lww.com
Chronic liver disease (CLD) is a progressive illness with high symptom burden and
functional and cognitive impairment, often with comorbid mental and substance use …

An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning

J Zhou, W Song, Y Liu, X Yuan - PeerJ Computer Science, 2024 - peerj.com
Diagnosing gastrointestinal (GI) disorders, which affect parts of the digestive system such as
the stomach and intestines, can be difficult even for experienced gastroenterologists due to …

Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut

S Lee, B Waugh, G O'Dell, X Zhao… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
Animal behavior is an essential element in neuroscience study and noninvasive behavioral
tracking of animals during experiments is crucial to many scientific pursuits. However …

[HTML][HTML] Artificial intelligence, chatbots and ChatGPT in healthcare—narrative review of historical evolution, current application, and change management approach to …

J Singh, B Sillerud, A Singh - Journal of Medical Artificial …, 2023 - jmai.amegroups.org
Methods: This descriptive study provides a comprehensive review of published literature on
the history and evolution of AI and chatbots including ChatGPT, and how these tools can be …

Estimating animal pose using deep learning a trained deep learning model outperforms morphological analysis

S Lee, J Banzon, K Le, DH Kim - 2022 - mds.marshall.edu
INTRODUCTION: Analyzing animal behavior helps researchers understand their decision-
making process and helper tools are rapidly becoming an indispensable part of many …

Conception of a load balancing strategy for CLOAK-Reduce

M Diarra, BT Tiendrebeogo - Proceedings of the 4th edition of the …, 2022 - eudl.eu
Distributed systems are highly heterogeneous, dynamic and unstable. It is therefore realistic
to expect that some resources will fail during use. To overcome these problems and achieve …