Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

[HTML][HTML] Medicine of the future: how and who is going to treat us?

J Kulkova, I Kulkov, R Rohrbeck, S Lu, A Khwaja… - Futures, 2023 - Elsevier
Medicine's ability to quickly respond to challenges raises questions from researchers,
practitioners, and society as a whole. Our task in this study was to identify key and atypical …

Machine learning in cardiology: a potential real-world solution in low-and middle-income countries

MS Alabdaljabar, B Hasan, PA Noseworthy… - Journal of …, 2023 - Taylor & Francis
Artificial intelligence (AI) and machine learning (ML) is a promising field of cardiovascular
medicine. Many AI tools have been shown to be efficacious with a high level of accuracy …

Impact of covid-19 in lung cancer detection using image processing techniques, artificial intelligence and machine learning approaches

K Singh, U Chauhan, L Varshney - Smart Science, 2023 - Taylor & Francis
Due to their impaired immune systems, lung cancer (LC) patients are especially sensitive to
COVID-19 and are more susceptible to it as well as its related effects. The diagnosis …

Artificial intelligence (AI) and internet of things (IoT): application in detecting and containing the spread of COVID-19

MA Wajid, A Zafar, B Bhushan, AMUD Khanday… - AI Models for Blockchain …, 2023 - Springer
The goal of this work is to provide a high-level overview of the ways in which the Internet of
Things and Artificial Intelligence are being used to control COVID-19. The current work …

The significance of super intelligence of artificial intelligence agencies in the social savageries of COVID-19: an appraisal

K Das, M Pattanaik, B Paital - Integrated Science of Global Epidemics, 2023 - Springer
The world is now distressedwith thecoronavirus disease (COVID-19) caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although vaccination is not done …

Data-driven analysis and forecasting of covid-19 third wave in saarc countries

R Haque, ABMA Rahman… - … Conference on Information …, 2023 - ieeexplore.ieee.org
COVID-19 is a global pandemic that has affected millions of people worldwide. Effective
forecasting of the spread of COVID-19 is crucial for proactive planning, public health …

Machine learning In the financial industry: A bibliometric approach to evidencing applications

N Zakaria, A Sulaiman, FS Min… - Cogent Social Sciences, 2023 - Taylor & Francis
This study comprehensively reviews the key influential and intellectual aspects of machine
learning in finance. The authors employ the bibliometric approach using VOSviewer …

[PDF][PDF] Overview: Embracing tools of artificial intelligence in pharmaceuticals

S Tarle, A Kakad, M Shaikh - Int J Sci Acad Res, 2023 - scienceijsar.com
Background: Artificial intelligence is the wide diversifying core area from computer science
having versatile applicability in pharmaceutical industries. Artificial intelligence is a …

Success Factors of Using Artificial Intelligence

SO Al Hleewa, M Al Mubarak - Technological Sustainability and Business …, 2023 - Springer
In terms of changing, modifying, and enhancing processes, products, and business models,
artificial intelligence has tremendous promise. But many businesses are unable to take …