Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges

DH Lee, SN Yoon - International journal of environmental research and …, 2021 - mdpi.com
This study examines the current state of artificial intelligence (AI)-based technology
applications and their impact on the healthcare industry. In addition to a thorough review of …

The application of medical artificial intelligence technology in rural areas of develo** countries

J Guo, B Li - Health equity, 2018 - liebertpub.com
Background: Artificial intelligence (AI) is a rapidly develo** computer technology that has
begun to be widely used in the medical field to improve the professional level and efficiency …

Artificial intelligence in health care: laying the foundation for responsible, sustainable, and inclusive innovation in low-and middle-income countries

H Alami, L Rivard, P Lehoux, SJ Hoffman… - Globalization and …, 2020 - Springer
Abstract The World Health Organization and other institutions are considering Artificial
Intelligence (AI) as a technology that can potentially address some health system gaps …

Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection

S Mishra, B Majhi, PK Sa - Biomedical Signal Processing and Control, 2019 - Elsevier
This paper presents an effective scheme for classification of the normal white blood cells
from the affected cells in a microscopic image. The proposed method initially pre-processes …

Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …

MA Alsalem, AA Zaidan, BB Zaidan, M Hashim… - Journal of medical …, 2018 - Springer
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection

S Mishra, B Majhi, PK Sa, L Sharma - Biomedical Signal Processing and …, 2017 - Elsevier
In this paper, we have proposed an acute lymphoblastic leukemia detection strategy from
the microscopic images. The scheme utilizes all the steps associated with any other …

Real-world application, challenges and implication of artificial intelligence in healthcare: an essay

SK Mudgal, R Agarwal, J Chaturvedi, R Gaur… - Pan African Medical …, 2022 - ajol.info
This essay examines the state of Artificial Intelligence (AI) based technology applications in
healthcare and the impact they have on the industry. This study comprised a detailed review …

Automated leukaemia detection using microscopic images

N Patel, A Mishra - Procedia computer science, 2015 - Elsevier
In this paper, automated approach of leukaemia detection is proposed. In a manual method
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …

[HTML][HTML] Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

W Srisukkham, L Zhang, SC Neoh, S Todryk… - Applied soft computing, 2017 - Elsevier
In this research, we propose an intelligent decision support system for acute lymphoblastic
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …

Leukemia segmentation and classification: A comprehensive survey

S Saleem, J Amin, M Sharif, GA Mallah, S Kadry… - Computers in Biology …, 2022 - Elsevier
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …