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sushant gadge

Founder SphereMind T... • 1m

AI in Rural Healthcare: A Game Changer! Rural areas struggle with limited healthcare access, but Artificial Intelligence (AI) is bridging the gap! From AI-powered health apps to smart diagnostics and predictive analytics, AI is making healthcare

Dr Bappa Dittya Saha

We're gonna extinct ... • 1m

Of course AI is a game changer! But a wrongly trained AI with absurd data will kill more than saving. so we must make sure it works considering gazillions of factors. And the purpose of it should help doctors make quick and precise decisions.

sushant gadge

Founder SphereMind T... • 1m

Absolutely agree with you! The quality of data used to train AI is crucial, especially in healthcare, where the stakes are so high. In rural areas, where access to experienced doctors and well-equipped facilities is limited, AI can play a transformat

Dr Bappa Dittya Saha

We're gonna extinct ... • 1m

Working on this I could say most challenging is getting better data! Because most of the data isn't yet managed! Less penetrations of EHR in the market. Most doctors don't mind keeping such data. Hospital and nursing homes can be a good source but not easily accessible. Institution have better data in that case. Still even after getting data, cleaning it , getting meaning out of it and then deciding what models to implement. It is challenging but eventually this tech will become standard norm in next 5-10years.

1 replies1 like

Replies (1)

sushant gadge

Founder SphereMind T... • 1m

Absolutely, you've raised some crucial points! Access to quality data is indeed one of the biggest challenges in implementing AI effectively, especially in rural healthcare. The limited penetration of EHR systems and data management practices makes it even harder. One way to tackle this could be through public-private partnerships focused on digitizing healthcare records and ensuring data privacy. Additionally, AI models trained on synthetic data or federated learning approaches might help bridge the gap until better data becomes available. You're right—it's a challenging path, but with the right steps, AI can definitely transform healthcare standards in the next 5-10 years. Looking forward to your thoughts on potential solutions!

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