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

Aug 3, 2026

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Lung cancer patients are highly vulnerable to COVID-19 because of immunosuppression. The pandemic created major obstacles in lung cancer treatment, while advances in machine learning and artificial intelligence enable support for both detection and treatment planning. These methods can predict lung cancer using diverse datasets such as microarray and images, yet progress for COVID-19 lung cancer patients is limited by insufficient patient data. This literature review synthesizes international journal findings from PubMed, ScienceDirect, and Google Scholar to clarify the impact of ML and AI during the COVID-19 period.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

Introduction

COVID-19 background and pandemic spread

Symptoms and transmission

Need for early detection and isolation

Comorbidities and vulnerability

Cancer and immune system relation

A Literature Review to Evaluate the Impact of Machine Learning and Artificial Intelligence for Lung Cancer Patient in COVID-19 Pandemic Selly Anastassia Amellia Kharis1􀀍 , Arman Haqqi Anna Zili2 , Fauzan Ihza Fajar3 , Agustiani Putri4 , Melisa Arisanty5 1, 3 Matematika, Fakultas Sains dan Teknologi, Universitas Terbuka, Indonesia 2 Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Indonesia, Indonesia 4 Pendidikan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Malang, Indonesia 5 Perpustakaan dan Sains Informasi, Fakultas Hukum, Ilmu Sosial dan Ilmu Politik, Universitas Terbuka, Indonesia | Informasi Artikel
Riwayat Artikel
Received : January 06 , 2024
Revised : January 10, 2024
Accepted : January 16 , 2024
Keywords:
Artificial Intelligence, Covid-
19, Machine Learning, Lung Cancer.
Kata Kunci:
Artificial Intelligence, Covid-19, Kanker ParuParu, Pembelajaran Mesin. | ABSTRACK | | --- | --- | | | 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. | | | ABSTRAK | | | Pasien kanker dianggap rentan terhadap COVID-19 karena keadaanimunosupresif. Salah satu jenis kanker yang banyak menyebabkan kematian adalah kanker paru-paru. Banyak tantangan dan kesulitan, terutama dalam pengobatan kanker paru-paru selama COVID-19. Seiring perkembangan teknologi, para ahli menggunakan pembelajaran mesin dan kecerdasan buatan dalam pengobatan dan deteksi kanker paru-paru. Kecerdasan buatan dan pembelajaran mesin dapat digunakan untuk memprediksi kanker paru-paru menggunakan data dari microarray, gambar, dan sumber lainnya. Keterbatasan data pasien COVID-19, informasi terkait penerapan pembelajaran mesin dan kecerdasan buatan untuk pengobatan pasien COVID-19 dengankanker paru-paru masih terbatas. Oleh karena itu, diperlukan tinjauanliteratur untuk menjelaskan efek pembelajaran mesin dan kecerdasan buatan untuk pasien kanker paru-paru selama periode COVID-19. Tinjauan literatur pada penelitian ini bersumber dari hasil penelusuran jurnal dari berbagai negara terkait kanker paru-paru dan COVID-19 di Pubmed, Science Direct, dan Google Scholar. Hasilnya menunjukkan peran penting pembelajaran mesin dan kecerdasan buatan untukpasien kanker paru-paru dalam pandemi COVID-19. | | Corresponding Author :
Selly Anastassia Amellia Kharis
Matematika, Fakultas Sains dan Teknologi, Universitas Terbuka
Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15437, Banten-Indonesia Email: [selly@ecampus.ut.ac.id](selly@ecampus.ut.ac.id) | | INTRODUCTION A global pandemic outbreak caused by the SARS-CoV-2 coronavirus was first identified in late 2019 in Wuhan, Hubei province, China, and has since spread to other regions of the world (Ciotti [et.al](et.al), 2020) . On March 11, 2020, the World Health Organization (WHO) proclaimed COVID-19 as a global pandemic and reported that COVID-19 had infected 585,086,861 people and that 6,422,914 had died as

FAQs

Why are lung cancer patients considered especially vulnerable during the COVID-19 pandemic?

Lung cancer patients are vulnerable because their immune status is weakened, increasing susceptibility to COVID-19 and leading to greater clinical risk during the pandemic.

How can machine learning and artificial intelligence help in lung cancer during COVID-19?

They support prediction, detection, and treatment-related decision-making by analyzing multiple types of data, including microarray data and medical images.

What limitation prevents broader application of ML and AI for COVID-19 patients with lung cancer?

The review highlights limited availability of COVID-19 lung cancer patient data, which restricts the effectiveness and development of ML and AI applications.

Aug 3, 2026

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