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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Key Highlights
- AI contributes to diagnostic accuracy by analysing complex patterns in medical images
- The algorithm is adept at distinguishing between various tissue types, lesions and tumour
- AI is playing a crucial role in supporting patient care by aiding the treatment processes
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.”