Abstract

Health Tech has a huge potential to apply AI algorithms to make human life, better, safer. This session is about potential use case walkthrough of cutting edge AI models into Health Tech sector. Diagnosis and detection of disease at an early stage increases chances of cure. Sometimes unavailability of data, sometimes wrong diagnosis of information and data makes the patients survival difficult. At the first place the primary role of AI is to collect information from discrete sources and correlate to better diagnose the disease and reduce diagnosis error. Secondly AI helps in making the disease prediction more accurate and hence suggesting life style modifications and recommendations to stop the disease progression to the advanced state. Thirdly at an advanced stage assisting medical professionals wherever necessary in strategy to cure a disease.

• How technology, software can help healthcare providers, professionals
• How AI algorithms can help predict the incidence of a disease
• How AI algorithms can diagnose and prevent a disease
• What it takes to build a Health Tech venture with data
• Importance of Data privacy and patient confidentiality

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About the speaker

Pradeepta Mishra has 16 + years of experience and currently is the Head of AI Fosfor, leading a group of Data Scientists, computational linguistics experts, Machine Learning and Deep Learning experts. Author of 5 Books (PyTorch Recipes, R Data Mining Blueprints, R: Mining spatial, text, web, and social media data, Mastering R for Data Science). Awarded as "India's Top "40Under40DataScientists" by Analytics India Magazine for the year 2019 and 2020 consecutively.

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