Founder SphereMind T...ย โขย 5m
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 rightโit'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!
We're gonna extinct ...ย โขย 7m
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. โ ๏ธHow valid is this point? ๐ฅ AI in healthcare often gets attention for its transformative potential, b
See MoreEarly Stage VCย โขย 5m
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
See MoreHey I am on Medialย โขย 5m
Indiaโs 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
See MoreHey I am on Medialย โขย 6m
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
See MoreWe're gonna extinct ...ย โขย 5m
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. โ ๏ธ The P
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