Healthcare sector financials

High Mkt Cap
#17 of 49
$20 B
Highest CAGR
#7 of 49
27 %
Machine learning algorithms can be used to analyze medical images and help detect diseases like cancer. ML can also be used to analyze electronic records and identify patterns that can inform treatment decisions. The use of ML in is still in its early stages, but it has the potential to revolutionize the industry.

0 FDA approvals in Machine Learning (ML)

Improved Diagnosis and Treatment

"Machine learning algorithms can help providers diagnose and treat a wide range of medical conditions more accurately and quickly." - Healthcare IT News, January 2022

Predictive Analytics

"Machine learning can be used for predictive analytics, identifying patients at risk of developing certain conditions or experiencing adverse events." - HealthTech Magazine, February 2022

Improved Efficiency

"Machine learning can help improve efficiency by automating routine tasks, freeing up providers to focus on more complex tasks and patient care." - Healthcare Information and Management Systems Society, March 2022

Investor sentiment

MarketsandMarketsJune 2021

"...The global machine learning market in is expected to grow at a CAGR of over 40% during the forecast period 2021-2026, driven by the increasing adoption of AI-based technologies in healthcare, the growing availability of data, and the rising demand for personalized solutions."

ResearchAndMarketsApril 2021

"...The global machine learning market is expected to reach $25.2 billion by 2026, driven by the increasing adoption of AI-based technologies in healthcare, the growing demand for predictive analytics and precision medicine, and the rising need for cost-effective and efficient solutions."
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