AI at The Point of Care Revolutionizes Diagnostics
Who is this presentation for?Non-technical or Business audience
Perhaps the most imposing global healthcare challenge today is delivering quality healthcare over the “last mile” to at-risk populations in developing countries, which remains elusive due to lack of technology, infrastructure, and trained healthcare professionals. Bringing the power of AI to the point of care (POC) can bridge that last mile by providing inexpensive, swift, and accurate diagnoses. AI technology for point of care is reaching an inflection point, now able to parse complex medical language and link NLP labelled findings to specific abnormalities and pattern recognition in medical scans.
Prashant Warier will share gripping success stories of leveraging deep learning and revolutionizing diagnostics at the POC, including a project where an automated chest X-ray interpretation process has been deployed in the Philippines to screen for Tuberculosis. He will detail critical factors that must be in place for this diagnostics revolution to become reality, like the ability to screen for multiple abnormalities simultaneously; while also outlining the regulatory and clinical workflow challenges that threaten its further development. Prashant will peer into the future of medical imaging, detailing deep learning’s potential to revolutionize healthcare through advances like AI powered handheld ultrasound machines and fully integrated mobile vans for lung health.
*Factors that must be in place for AI at POC to become reality, like hardware agnosticism and zero footprint, and the ability to screen for multiple abnormalities simultaneously.
*Roadblocks to AI point of care: regulatory and clinical workflow challenges
*Philippines Tuberculosis case study: to screen for the estimated 65,000 TB cases that remain undetected and untreated
*Advice to those using AI in healthcare: testing your data and validation studies
*Advances in POC diagnostics: CT chest screens for abnormalities like breast cancer and TB, and MRI brain scans for stroke, ER trauma and more
*Tech advances: POCs now able to parse complex medical language and link to specific findings & pattern recognition in medical scans — which then link the NLP labelled findings to specific abnormalities in these scans.
Prerequisite knowledgeA rudimentary interest/knowledge of AI/ML applications for the healthcare ecosystem
What you'll learn
Dr Prashant Warier is CEO, Qure.ai & Chief Data Scientist, Fractal Analytics with 16 years of experience in architecting and developing data science solutions. Prashant founded AI-powered personalized digital marketing firm Imagna Analytics which was acquired by Fractal in 2015. Earlier, he worked with SAP and was instrumental in building their Data Science practice. Currently, he heads Qure.ai – a healthcare business which uses deep learning to automatically interpret X-rays, CT Scans and MRIs. He has a PhD and MS in Operations Research from Georgia Institute of Technology and a BTech from IIT Delhi.
He is passionate about using artificial intelligence for global good, and through Qure.ai, is working towards making healthcare accessible and affordable using the power of machine learning and artificial intelligence.
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