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Impact AI
Trailer
Bonus
Episode 120
Season 1
Streamlining Radiology with Junaid Kalia from NeuroCareAI
AI tools for healthcare are becoming more prevalent than ever before, and today, we explore how this could help usher in a future of democratized healthcare for all. I am joined by the neurocritical stroke and epilepsy specialist Junaid Kalia, MD, founder of NeuroCareAI – an innovative enterprise utilizing artificial intelligence solutions to enhance health outcomes and efficiency.
Junaid begins with his professional background and what led him to found NeuroCareAI before explaining what his company does and the products and services it offers. Then, we unpack the primary data sets that inform NeuroCareAI’s work, how to overcome the challenges of combining varied data types, the ethical responsibilities of AI, and how to ensure generalizability is upheld over long periods. To end, we learn why it’s essential to distinguish explainability from reason, how to mitigate the effects of bias on radiology data, how the regulatory process stunts the development of machine learning solutions, and Junaid’s vision of the future of NeuroCareAI.
Junaid begins with his professional background and what led him to found NeuroCareAI before explaining what his company does and the products and services it offers. Then, we unpack the primary data sets that inform NeuroCareAI’s work, how to overcome the challenges of combining varied data types, the ethical responsibilities of AI, and how to ensure generalizability is upheld over long periods. To end, we learn why it’s essential to distinguish explainability from reason, how to mitigate the effects of bias on radiology data, how the regulatory process stunts the development of machine learning solutions, and Junaid’s vision of the future of NeuroCareAI.
Key Points:
- Junaid Kalia walks us through his professional background and why he formed NeuroCareAI.
- The ins and outs of NeuroCareAI and how it incorporates AI into its products and services.
- Understanding the two main forms of data that govern the company’s work.
- The challenges of combining different data types and how to overcome them.
- Unpacking the ethical responsibilities of AI.
- Generalizability over time: How Junaid and his team ensure their models continue to perform.
- Model accuracy versus explainability, and distinguishing explainability from reason.
- How bias affects models trained on radiology data and how to mitigate this.
- The way the regulatory process affects the development of machine learning solutions.
- Junaid Kalia’s advice for other leaders of AI-powered startups.
- His view on the future of NeuroCareAI.
Quotes:
“Coming from a very low resource country like Pakistan, I wanted to start a project in which AI can help democratize in countries with low resource settings.” — Junaid Kalia
“Our mission is if you save a life, it is as if you save the life of all mankind.” — Junaid Kalia
“When you are deploying artificial intelligence, you need to make sure that it's deployed ethically. [For] some of these things, we do expect our partner sites – [to] have a real quality assurance system in place before they can deploy my artificial intelligence, because I just want to be ethical.” — Junaid Kalia
“We need to differentiate [and] distinguish between reasoning and explainability. In the vision world, I believe that explainability is nice to have. In the large language models space, reasoning, in my opinion, is a must-have.” — Junaid Kalia
Links:
Resources for Computer Vision Teams:
LinkedIn – Connect with Heather.
Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.
Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.