Artificial intelligence and machine learning (AI/ML) is beginning to resonate with VC investors in the healthcare sector, recording 48 deals in 2017 raising $718 million, representing 65% and 126% growth YoY, respectively.
<p>AI's Health Exam
Analysis of artificial intelligence and machine learning in healthcare
PitchBook is a Morningstar company. Comprehensive, accurate and hard-to-find data for professionals doing business in
the private markets.
Credits & Contact
Analyst
CAMERON STANFILL Analyst
cameron.stanfill@pitchbook.com
Contact PitchBook
pitchbook.com
RESEARCH
reports@pitchbook.com
EDITORIAL
editorial@pitchbook.com
Contents
Key Takeaways
1
Introduction
2
Mapping the healthcare
AI environment
3
Large-cap outlook
4
Which segments are
prime for near-term
success?
5
Headwinds
8
Looking forward
9
Key Takeaways
Artificial intelligence and machine learning (AI/ML) is beginning to resonate
with VC investors in the healthcare sector, recording 48 deals in 2017 raising
$718 million, representing 65% and 126% growth YoY, respectively.
Within healthcare, we expect AI to be used mainly to augment workers'
skills, as opposed to displacing them. Personal AI assistants for physicians/
nurses can recall relevant medical research, compile population patient data,
provide initial possible diagnoses, and optimize workflow. Time saved by these
innovations represent countless hours that can be used more efficiently by
industry professionals.
Deep learning algorithms that leverage image recognition are already more
accurate than panels of specialists in detecting and diagnosing pneumonia, TB,
certain early stage cancers, and other diseases.
COPYRIGHT 2018 by PitchBook Data, Inc. All rights reserved. No part of this publication may be reproduced in any form or by any meansgraphic,
electronic, or mechanical, including photocopying, recording, taping, and information storage and retrieval systemswithout the express written permission
of PitchBook Data, Inc. Contents are based on information from sources believed to be reliable, but accuracy and completeness cannot be guaranteed.
Nothing herein should be construed as any past, current or future recommendation to buy or sell any security or an offer to sell, or a soli