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The role of artificial intelligence in early cancer diagnosis

Artificial intelligence excels in handling data-intensive tasks. By automating initial analysis of medical imaging, AI systems can reduce the workload on healthcare professionals and detect more precise cancer diagnosis

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Image for representational purposes only. Photo Courtesy: iStock

Image for representational purposes only. Photo Courtesy: iStock

Artificial intelligence (AI) continues to expand into diverse facets of our lives – including cancer detection. Dr Aklesh Tandekar, Head Consultant Critical Care, Wockhardt Hospitals, Mira Road tells Midday: “The convergence of machine learning algorithms and the vast amounts of medical imaging data has paved the way for more precise detection methods, ultimately improving patient outcomes.” 

According to World Health Organisation, cancer is a leading cause of death worldwide killing nearly 10 million people in 2020. Through the application of machine learning, researchers have begun to develop tools aimed at diagnosing tumours and lesions that used to go unnoticed by doctors. The practice is also aimed at enhancing the capability to detect cancer at an early stage to curb the fatal disease. 

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