Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model

MF Shahzad, S Xu, W Naveed, S Nusrat, I Zahid - Heliyon, 2023 - cell.com
Artificial intelligence (AI) is rapidly transforming the way human resources (HR) functions are
carried out in the health sector of China. This study aims to scrutinize the impact of artificial …

Deep transfer modeling for classification of maize plant leaf disease

RK Singh, A Tiwari, RK Gupta - Multimedia tools and applications, 2022 - Springer
Abstract Currently, Deep Learning is playing an influential role for Image analysis and object
classification. Maize's diseases reduce production that subsequently becomes prominent …

Smart brain tumor diagnosis system utilizing deep convolutional neural networks

Y Anagun - Multimedia Tools and Applications, 2023 - Springer
The early diagnosis of cancer is crucial to provide prompt and adequate management of the
diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …

Dementia classification using MR imaging and clinical data with voting based machine learning models

S Bharati, P Podder, DNH Thanh… - Multimedia Tools and …, 2022 - Springer
Dementia is one of the leading causes of severe cognitive decline, it induces memory loss
and impairs the daily life of millions of people worldwide. In this work, we consider the …

Artificial intelligence in cardiothoracic surgery: current applications and future perspectives

M Ebnali, MA Zenati, RD Dias - Artificial Intelligence in Clinical Practice, 2024 - Elsevier
Cardiothoracic surgery (CTS) is a complex and high-risk medical intervention that requires
collaboration from various specialized professionals. The integration of artificial intelligence …

Blockchain-based medical health record access control scheme with efficient protection mechanism and patient control

WX Yuan, B Yan, W Li, LY Hao, HM Yang - Multimedia Tools and …, 2023 - Springer
The patient's medical health record (PMHR) has always provided a large amount of
research data to medical institutions and pharmaceutical companies, etc., and has …

[HTML][HTML] Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

JY Chang, MS Makary - Diagnostics, 2024 - mdpi.com
The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology.
With the development of newer models, AI applications are demonstrating improved …

MediNet: transfer learning approach with MediNet medical visual database

HC Reis, V Turk, K Khoshelham, S Kaya - Multimedia Tools and …, 2023 - Springer
The rapid development of machine learning has increased interest in the use of deep
learning methods in medical research. Deep learning in the medical field is used in disease …

Real-time automatic detection and classification of groundnut leaf disease using hybrid machine learning techniques

Suresh, K Seetharaman - Multimedia Tools and Applications, 2023 - Springer
Generally, an early and accurate detection of plant diseases is important for sustainable
growth of agricultural productivity. Anthropologists rely on plant defects caused by diseases …

A multitask joint framework for real-time person search

Y Li, K Yin, J Liang, Z Tan, X Wang, G Yin, Z Wang - Multimedia systems, 2023 - Springer
Person searches generally involve three important parts: person detection, feature extraction
and identity comparison. However, a person search integrating detection, extraction and …