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Key Advantages and Drawbacks of Medical Image Analysis Using Machine Learning

Artificial intelligence (AI) has the potential to transform the medical imaging industry by quickly sifting through mountains of scans and providing providers 

Key Advantages and Drawbacks of Medical Image Analysis Using Machine Learning

By

Healthcare Business Review | Monday, January 31, 2022

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Every year, medical imaging saves millions of lives by assisting doctors in detecting and diagnosing diseases ranging from cancer and appendicitis to stroke and heart disease because non-invasive early disease detection saves many lives, scientific funding increases.


Fremont, CA: Artificial intelligence (AI) has the potential to transform the medical imaging industry by quickly sifting through mountains of scans and providing providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that would be difficult to detect without the supplemental technology.


Images are the most common data source in healthcare, but they are also challenging to analyze. Clinicians must now rely primarily on medical image analysis performed by overworked radiologists and occasionally investigate scans themselves. A medical expert mainly interprets medical data. Image interpretation by a human expert is completely limited due to subjectivity, the complexity of the image, the numerous variations that exist across different interpreters, and fatigue.


Despite constant advances in medical imaging, nearly every four patients have false positives on image readings. This can result in unnecessary invasive procedures and follow-up scans, adding cost and stress to patients' lives. 


See Also : Machine Tool Solutions Companies


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