Will Artificial Intelligence Change Healthcare?

Eugene Borukhovich SVP Healthcare@HealthEugene

Credit: Jurjen Sohne @juris_tweets

Credit: Jurjen Sohne @juris_tweets

Credit: Jurjen Sohne @juris_tweets

Intelligence Exhibited by machinesReasoning &

KnowledgePlanning & LearningNatural Language

ProcessingPerception & Object Manipulations

Creation of data assetsOver 2B mobile devicesCost of compute & storageImprovements in learning systemsPerception & Object Manipulations

E-CommerceBankin

gSearch EnginesEntertainme

nt

Creation of data assetsOver 2B mobile devicesCost of compute & storageImprovements in learning systems

Artificial Intelligence, Real MoneyTotal venture capital money for pure AI startups, by year

Data: CB Insights

Artificial Intelligence in Healthcare

Data: CB Insights

Machine LearningSystems

Neuroscience

Emotion Recognition (Emotient)

AI to predict drug resistancePeter Rogan of the University of Western Ontario reports that artificial intelligence is a powerful tool to predict drug outcomes because it looks at the sum of all the interacting genes.

US startup AiCure uses artificial intelligence on patient’s mobile devices to confirm medication ingestion support in clinical trials and high-risk populations.

“Did you take your pill?”How AI could support medication adherence

AI for smarter drug developmentAs a result of joint efforts of IBM, Johnson & Johnson, and Sanofi, IBM Watson Discovery Advisor could help doctors to match a drug with the right set of patients in order to maximize effectiveness and minimize side effects.

Assisted cognition systems explored by Department of Computer Science & Engineering University of Washington, are considered to make use of AI technology to replace some of the memory and problem-solving abilities that have been lost by an Alzheimer’s patient.

AI for Alzheimer’s Patients

With IoT applications quickly reaching a limit of what could be done with all the data collected, machine-learning systems are adapting to handle larger capacities of incoming data

AI for Wearable Health

Over 2M womenWearables

Regulations

Credit: Matthew Scherer’s article ‘Regulating Artificial Intelligence Systems’.

“Difficult is what takes a little time;

the impossible is what take a little longer”

- Fridtjof Nansen, 1922

@HealthEugene