A Literature Review to Evaluate the Impact of Machine Learning and Artificial Intelligence for Lung Cancer Patient in COVID-19 Pandemic

Research output: Contribution to journalLiterature reviewpeer-review

Abstract

Cancer patients, especially those with lung cancer, are highly vulnerable to COVID-19 due to weakened immunity. The treatment of lung cancer during the pandemic present numerous challenges and difficulties. Embracing technological advancements, expert employ machine learning and artificial intelligence in both treathment and detection of lung cancer. Artificial intelligence and machine learning prove instrumental in predicting lung cancer using diverse data sources. However, the application of machine learning and artificial intelligence for COVID-19 patients with lung cancer is hindered by limited patient data. Therefore, a literature review is imperative to elucidate the impact of machine learning and artificial intelligence on lung cancer patients during the COVID-19 period. Drawing fron journals across various countries, this literature review relies on searches conducted on platforms like PubMed, Science Drirect, and Google Scholar. The results show an important role of machine learning and artificial intelligence for lung cancer patients in COVID-19 pandemic.
Original languageEnglish
Pages (from-to)576-583
JournalG-Tech : Jurnal Teknologi Terapan
Volume8
Issue number1
DOIs
Publication statusPublished - 17 Jan 2024

Keywords

  • Artificial Intelligence
  • Covid-19
  • Machine Learning
  • Lung Cancer

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