AI and machine learning are transformative technologies that have the potential to disrupt status quo, enhance innovation, and reduce operational costs in organizations. This presentation provides a high level overview of the important steps to consider when implementing an AI system along with use cases in the healthcare sector.

1. AI Use cases in Healthcare:
From Idea to Implementation
Swathi Young
CTO, Integrity Management Services, Inc.
IntegrityM.com
@swathiyoung

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What is AI?
The term was coined by John
McCarthy in 1956 and it means
“is intelligence demonstrated
by machines, in contrast to
the natural
intelligence displayed by
humans. It is an umbrella term
whose sub-fields range from
robotics to machine learning.”
Artificial Intelligence

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Machine Learning
AI that uses algorithms that automatically “learns” without being explicitly programmed.
Machine learning is the application of AI techniques using statistical methods
Genre
Award
x
y
Sci-Fi Drama
Golden
Globes
Oscars
x x x
x x x x
x x x
x x x x
x x
x x x x x x
o
?

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Supervised and Unsupervised learning

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TO GET STARTED
1. BUSINESS CASE
2. DATA
3. ML MODELS

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KEY ACTIVITIES FOR ENTERPRISE AI ADOPTION

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Key steps of implementation of a use case
Business
Objective
Data
Sources
Data
Analysis/
Feature
Engg.
Training
DataSet
Validation/
Test
Dataset
Evaluation
Model Deploy
Visualize
Output
Pre-Processing Modeling Outcomes
Business rules

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USE CASES

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PREDICTIVE
ANALYTICS

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CELL-BASED DISEASED MODELS
Source: Insitro.com

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TEXT ANALYSIS

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NLP Analysis
Source: Healthcatalyst.com

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IMAGE
ANALYSIS

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MEDICAL IMAGES

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KEY CHALLENGES
Bias Responsibility
Transparency
ETHICS
BUILDING
TRUST

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THANK YOU

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Connect with me on LinkedIn and Twitter
@Swathiyoung
YouTube channel – Trendy Techie
THANK YOU!