[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

O Ali, W Abdelbaki, A Shrestha, E Elbasi… - Journal of Innovation & …, 2023 - Elsevier
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …

Recent advances of artificial intelligence in healthcare: A systematic literature review

F Kitsios, M Kamariotou, AI Syngelakis, MA Talias - Applied Sciences, 2023 - mdpi.com
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …

High bit-depth medical image compression with HEVC

SS Parikh, D Ruiz, H Kalva… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Efficient storing and retrieval of medical images has direct impact on reducing costs and
improving access in cloud-based health care services. JPEG 2000 is currently the commonly …

Fundus image quality assessment: survey, challenges, and future scope

A Raj, AK Tiwari, MG Martini - IET Image Processing, 2019 - Wiley Online Library
Various ocular diseases, such as cataract, diabetic retinopathy, and glaucoma have affected
a large proportion of the population worldwide. In ophthalmology, fundus photography is …

Hico: Hierarchical contrastive learning for ultrasound video model pretraining

C Zhang, Y Chen, L Liu, Q Liu… - Proceedings of the …, 2022 - openaccess.thecvf.com
The self-supervised ultrasound (US) video model pretraining can use a small amount of
labeled data to achieve one of the most promising results on US diagnosis. However, it does …

Comparative study of the methodologies used for subjective medical image quality assessment

L Lévêque, M Outtas, H Liu… - Physics in Medicine & …, 2021 - iopscience.iop.org
Healthcare professionals have been increasingly viewing medical images and videos in
their routine clinical practice, and this in a wide variety of environments. Both the perception …

Multivariate regression-based convolutional neural network model for fundus image quality assessment

A Raj, NA Shah, AK Tiwari, MG Martini - Ieee Access, 2020 - ieeexplore.ieee.org
Objectively assessing the perceptual quality of an ocular fundus image is essential for the
reliable diagnosis of various ocular diseases. A fair amount of work has been done in this …

Can signal-to-noise ratio perform as a baseline indicator for medical image quality assessment

Z Zhang, G Dai, X Liang, S Yu, L Li, Y **e - IEEE Access, 2018 - ieeexplore.ieee.org
Natural image quality assessment (NIQA) wins increasing attention, while NIQA models are
rarely used in the medical community. A couple of studies employ the NIQA methodologies …

IoT-based computational frameworks in disease prediction and healthcare management: Strategies, challenges, and potential

R Patra, M Bhattacharya, S Mukherjee - IoT in healthcare and ambient …, 2021 - Springer
In this fastest-growing digitalization and technology, the application of the Internet of Things
(IoT) in the healthcare industry brings revolutionary changes in the development and …

Content-aware downlink scheduling for LTE wireless systems: A survey and performance comparison of key approaches

MM Nasralla, N Khan, MG Martini - Computer Communications, 2018 - Elsevier
We present in this paper a comprehensive review and comparison of recent downlink
scheduling approaches for video streaming traffic over the Orthogonal Frequency Division …