Sujit Pal

Technology Research Director

"The challenge with automating healthcare technology is that the stakes are very high, since lives are on the line."

Sujit Pal

One of my projects was doing image classification for ClinicalKey, allowing users to search for both images and text – a game changer for medical professionals. The challenge with automating healthcare technology is that the stakes are very high, since lives are on the line. Therefore, we have to reach accuracy levels of 90 percent and higher. At the same time, in healthcare you also get the biggest bang for your buck with machine learning. For example, computers are now as good or even slightly better as humans in predicting diabetic retinopathy (diabetes induced blindness) by looking at pictures of the retina. More and more, machines will fulfil this kind of service role. This does not mean that computers will replace doctors, though. It simply helps them save time on routine jobs, which they can then spend on the things they are best at, be it a niche specialization, diagnosing a rare illness, or simply engaging with their patients.

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Sujit Pal is Technology Research Director in the Labs group, where he focuses on search, natural language processing, machine learning and distributed processing.

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