Abstract
The SARS-CoV-2 has caused tremendous stress in cancer patient care. Millions of confirmed cases and hundreds of thousands of deaths have been reported since the virus first reported in just 6 months ago in January 2020. While patients with chronic diseases such as hypertension, diabetes mellitus (DM), and chronic obstructive pulmonary disease (COPD) are particularly vulnerable to COVID19, cancer patients will probably suffer the most from visits due to weak immune system, frequent hospital visits, complicated treatment regimens, and ever-growing costs of seeking in-person healthcare. In this perspective, we propose a simple workflow based on artificial intelligence (AI) that integrates currently available platforms and resources. The workflow hereby proposed is easy to develop and will promote the entry of the first clinical application of AI in modern medicine.
Highlights
The SARS-CoV-2, the virus that causes COVID-19, has imposed one of the biggest challenges in modern human medicine, with over 14 million confirmed cases and 610 thousand deaths since the virus first reported in January 2020 [1]
While the management of other chronic diseases often only requires routine follow-ups, treatment regimens for malignancies are constantly tailored to incorporate a plethora of parameters unique for that particular patient [5]
Inadequate supplies of medications and personal protective equipment (PPE), limited hospital capacity and physicians, vulnerability towards COVID19 and other infectious diseases further complicated the difficulty of proper care for cancer patients [7]
Summary
The SARS-CoV-2, the virus that causes COVID-19, has imposed one of the biggest challenges in modern human medicine, with over 14 million confirmed cases and 610 thousand deaths since the virus first reported in January 2020 [1]. Application of artificial intelligence in cancer patient care during COVID-19 pandemic While different countries and regions had developed corresponding policies to modify post-COVID19 healthcare systems, the standards of care for cancer patients have been proven difficult to adapt [2, 3].
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