Practical AI Solutions Within Healthcare and Biotechnology - Michael Segala

Explore practical AI solutions in healthcare and biotechnology through this 38-minute conference talk. Delve into the core technology of Artificial Intelligence and its powerful applications in analyzing medical images, electronic health records, and operational data. Discover how AI can accelerate diagnostics, enhance assessment quality, and standardize decision-making processes. Examine data strategies and technical use cases involving time-series, text, and image data. Learn about the development and deployment of AI solutions within Fortune 500 companies. Gain insights into challenges such as the shortage of data scientists and the complexities of image analysis. Investigate specific applications in histopathology, natural language processing, safety protocols, optical character recognition, sleep apnea, and heart failure. Understand the immense potential and opportunities AI presents in revolutionizing healthcare and biotechnology sectors.

Introduction
Company Overview
Problems
Healthcare
AI in Healthcare
The Problem
Lack of Data Scientists
Huge Opportunity
Image Analysis
Why is it hard
Why is it important
Use case
Challenges
Typical workflow
Histopathology
NLP
The Challenge
Example
Safety
OCR
Sleep Apnea
Heart Failure
Summary