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sushant gadge

Founder SphereMind T... • 1y

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 ... • 1y

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... • 1y

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 ... • 1y

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

sushant gadge

Founder SphereMind T... • 1y

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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Medial User

Hey I am on Medial • 1y

Bridging the healthcare gap! Would a dedicated telemedicine/EHR platform make a real difference? Share your thoughts!

1 Reply

Shrrinath Navghane
•

NexLabs • 5m

The next compute revolution isn’t silicon. It’s simulation. Synthetic data is the new GPU - and it’s changing how AI learns forever. Read Part 1 of our Simulation-First Thought Series (Vol. II) https://medium.com/@Srinath-N3XLabs/synthetic-data-is-t

chintan patel

Hey I am on Medial • 1y

Hello Everyone, I am currently working on developing EHR software tailored for multi-specialty healthcare practices. I would greatly appreciate your insights, suggestions, or any feedback you may have.

Ayush Maurya

AI Pioneer • 1y

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

Om Raut

Investing in Knowled... • 1y

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

2 Replies

Dr Bappa Dittya Saha

We're gonna extinct ... • 1y

AI in Healthcare: Beyond the Buzzword AI in healthcare is more than just hype. Peel back the layers, and you'll find biostatistics at its core. ⚠️How valid is this point? 🟥 AI in healthcare often gets attention for its transformative potential, b

Shiv Ram

Hey I am on Medial • 1y

Iam looking for like minds who are interested in healthcare sector I have pitch on healthcare records which is widely used by government, hospitals and pharma companies. Both for new drug development and studies. India's healthcare system is under

2 Replies

Anonymous

Hey I am on Medial • 1y

India’s healthcare sector largely relies on foreign datasets for AI-driven medical research and development. This dependency arises due to the lack of a centralized, large-scale, and high-quality indigenous healthcare dataset. Most AI models in healt

Piyush Lohia

Early Stage VC • 1y

Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But

1 Reply

Dr Bappa Dittya Saha

We're gonna extinct ... • 1y

The Hidden Bias in Medical AI: Are We Training Fair Systems? AI in healthcare is only as good as the data it learns from. And if that data is flawed, the AI inherits those flaws - amplifying healthcare disparities rather than solving them. ⚠️ The P