A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

I Palomares, E Martínez-Cámara, R Montes… - Applied …, 2021 - Springer
Abstract The17 Sustainable Development Goals (SDGs) established by the United Nations
Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity …

Popular deep learning algorithms for disease prediction: a review

Z Yu, K Wang, Z Wan, S Xie, Z Lv - Cluster Computing, 2023 - Springer
Due to its automatic feature learning ability and high performance, deep learning has
gradually become the mainstream of artificial intelligence in recent years, playing a role in …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

[HTML][HTML] Machine learning in the prediction of cancer therapy

R Rafique, SMR Islam, JU Kazi - Computational and Structural …, 2021 - Elsevier
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

M Sahu, R Gupta, RK Ambasta, P Kumar - Progress in molecular biology …, 2022 - Elsevier
The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …

Big data analytics in medical engineering and healthcare: methods, advances and challenges

L Wang, CA Alexander - Journal of medical engineering & …, 2020 - Taylor & Francis
Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …

Artificial intelligence-enabled wearable medical devices, clinical and diagnostic decision support systems, and Internet of Things-based healthcare applications in …

R Barnes, K Zvarikova - American Journal of Medical Research, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze artificial
intelligence-enabled wearable medical devices, clinical and diagnostic decision support …

Building digital patient pathways for the management and treatment of multiple sclerosis

J Wenk, I Voigt, H Inojosa, H Schlieter… - Frontiers in …, 2024 - frontiersin.org
Recent advances in the field of artificial intelligence (AI) could yield new insights into the
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …

A Survey of Threats to Research Literature-dependent Medical AI Solutions

S Saini, N Saxena - ACM Computing Surveys, 2023 - dl.acm.org
Medical Artificial Intelligence (MedAI) harnesses the power of medical research through AI
algorithms and vast data to address healthcare challenges. The security, integrity, and …

Internet of Things (IoT)-based wireless health: Enabling technologies and applications

SMR Islam, J Lloret, YB Zikria - Electronics, 2021 - mdpi.com
Wireless health is transforming health care by integrating wireless technologies into
conventional medicine, including the diagnosis, monitoring, and treatment of illness. The list …