The Future of Population Screening and Virtual Cancer Screening

Abstract

Cancer remains one of the leading causes of morbidity and mortality worldwide. Screening programs for breast, cervical and colorectal colorectal cancer have been shown to be effective in reducing mortality. However, their results are often limited by the availability of resources, coverage of the target population and the ability of the health system to help patients with early forms of the disease. While organized screening based on clear protocols, standardized intervals and continuous monitoring is an effective approach, it still requires significant organizational and financial efforts. As digital technologies advance, a new paradigm is emerging: virtual screening. This approach involves using data obtained outside of organized programs, such as instrumental diagnostics and laboratory tests, to identify risk groups and optimize screening strategies. Virtual screening enables the integration of disparate data using machine learning and artificial intelligence technologies, providing more accurate and personalized risk assessment. It opens up new opportunities to improve the efficiency and accessibility of screening programs, especially in resource-limited settings. This article focuses on the importance of organized screening and the potential of virtual screening to complement it. The discussion will cover key challenges of traditional programs and ways to overcome them with the help of modern technologies, including the introduction of artificial intelligence and big data analytics to increase efficiency, improve patient prognosis and reduce the economic burden on the healthcare system.