[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

L Alzubaidi, ALD Khamael, A Salhi, Z Alammar… - Artificial Intelligence in …, 2024 - Elsevier
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Artificial intelligence-driven diagnosis of pancreatic cancer

BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …

[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

A Rahman, T Debnath, D Kundu, MSI Khan… - AIMS Public …, 2024 - ncbi.nlm.nih.gov
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

[HTML][HTML] A primer on artificial intelligence in pancreatic imaging

TM Ahmed, S Kawamoto, RH Hruban… - Diagnostic and …, 2023 - Elsevier
Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

Recent advancement in the detection of potential cancer biomarkers using the nanomaterial integrated electrochemical sensing technique: a detailed review

H Bhardwaj, A Noumani, JK Himanshu… - Materials …, 2024 - pubs.rsc.org
Cancer is a leading cause of morbidity and mortality worldwide but early diagnosis,
management or screening and treatment of cancer can significantly improve the survival rate …

Automated artificial intelligence model trained on a large data set can detect pancreas cancer on diagnostic computed tomography scans as well as visually occult …

P Korfiatis, G Suman, NG Patnam, KH Trivedi… - Gastroenterology, 2023 - Elsevier
Background & Aims The aims of our case-control study were (1) to develop an automated 3-
dimensional (3D) Convolutional Neural Network (CNN) for detection of pancreatic ductal …

The felix project: Deep networks to detect pancreatic neoplasms

Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen… - medRxiv, 2022 - medrxiv.org
Tens of millions of abdominal images are performed with computed tomography (CT) in the
US each year but pancreatic cancers are sometimes not initially detected in these images …

A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging

L Yao, Z Zhang, E Keles, C Yazici… - Current Opinion in …, 2023 - journals.lww.com
Deep learning and radiomics with medical imaging have demonstrated strong potential to
improve diagnostic accuracy of pancreatic cancer, facilitate personalized treatment …

Screening for pancreatic cancer has the potential to save lives, but is it practical?

BL Mazer, JW Lee, NJ Roberts, LC Chu… - Expert Review of …, 2023 - Taylor & Francis
Introduction Most patients with pancreatic cancer present with advanced stage, incurable
disease. However, patients with high-grade precancerous lesions and many patients with …

[HTML][HTML] Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver

MA Berbís, FP Godino, JR Del Val… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has experienced substantial progress over the last ten years in
many fields of application, including healthcare. In hepatology and pancreatology, major …