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Leveraging healthcare data through artificial intelligence

Published on March 31, 2026   10 min

Other Talks in the Series: Periodic Reports: Advances in Clinical Interventions and Research Platforms

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0:00
Hello. I'm Soma Sengupta. Today, I'm going to talk about leveraging healthcare data through artificial intelligence. This is part of the Biomedical and Life Sciences collection for HSTalks.
0:16
I would like to propose to consider the question, "Can machines think?" That's a quote from Alan Turing. Why Alan Turing? Because he is commonly thought of as the father of AI.
0:33
The objectives are as follows: Understand the common AI (artificial intelligence) terms and definitions. Understand the history of AI and its role in oncology. Examine AI's impact on clinical development and diagnosis. Explore AI applications in drug discovery and development. Explore AI's impact on clinical research. Consider where AI is headed and general concerns.
1:02
The things we need to think about are that we need to ensure that there's data privacy, there's an ethical use of AI, how one can integrate AI into clinical workflows, and that there is regulatory compliance.
1:20
If we think of AI and its transformative impact, there's accelerating, which is drug discovery and development, enhancing clinical development, improving cancer diagnostics, addressing regulatory and healthcare professional challenges, streamlining workflows and reducing costs. AI can be used to help in cancer predictions, screening, patient input, cancer diagnosis, therapy guidance, and response assessment to treatment. This can also guide the clinician and also dictate how surveillance could occur.

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Leveraging healthcare data through artificial intelligence

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