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9 Key Thoughts on How Machine Learning and Deep Learning Will Affect Healthcare

9 Key Thoughts on How Machine Learning and Deep Learning Will Affect Healthcare


Artificial intelligence is becoming more important in the healthcare space. Data gathering for machine learning and deep learning capabilities have immense possibilities to improve diagnostics, care pathway creation and reproducibility in surgical procedures to ultimately achieve better clinical outcomes.

 

Here, nine clinical care and health IT company executives discuss how they expect machine learning and deep learning to improve healthcare in the future.

 

Ori Geva. Co-Founder and CEO of Medial EarlySign (Israel). “AI and machine learning will revolutionize healthcare as we know it. Recent technological developments enable us to automatically apply mathematical calculations to vast amounts of medical data — taking into consideration health conditions, genetic factors and lifestyle to identify complex trends, patterns and interrelationships over time.

Coupled with the explosion of data ranging from existing and ubiquitous EMR data to the thousands of data points in microbiome and proteome — these algorithms will utterly change the way research is done, expediting some of the discovery processes. AI will empower physicians and providers by providing tools and clinical insights that facilitate personalized, predictive and proactive outreach to high-risk patients, resulting in better adapted treatments, increased quality, reduced costs and improved outcomes.”

 

See full article at Becker’s Hospital Review