Accelerated Medical Research
Last but not least, computer vision for medical research helps healthcare organizations speed up the process of investigating and testing new treatments and technologies.
Here are a couple of examples to illustrate how visual AI can assist with medical research:.
1) Faster and more accurate cell counting and typing: According to a study on cell coun.
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Better Patient Identification
Cases of mistaken patient identity are unfortunately all too common in healthcare.
A study by the Ponemon Institute found that 86% of nurses, physicians, and IT practitioners have personally seen or known of a patient being mistaken for someone else.
While these errors are usually caught early, they can be dangerous or even deadly: If not corrected.
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Increased Healthcare Safety
In 2019, U.S. hospitals recorded 221,400 work-related injuries and illnesses and a rate of 5.5 work-related injuries and illnesses for every 100 full-time employees.
This is almost twice the normal rate for private industry as a whole.
While many of these accidents and injuries are unavoidable, this technology can prevent many common worker injurie.
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More Accurate and Efficient Imaging Analysis
Computer vision can improve both speed and accuracy when analyzing medical imaging: recognizing hidden patterns and making diagnoses with fewer errors than human professionals.
A study in Nature found that visual AI systems were more accurate than human radiologistswhen analyzing mammograms for signs of breast cancer, reducing both false positives .
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Smart Operating Rooms
A typical EHR system may require surgical nurses to make up to 100 clicks to document a surgical procedure.
Computer vision systems can eliminate the need for this manual effort through direct observation and documentation, reducing or eliminating the need for human input.
This advancement lets doctors and nurses spend more time on patient care, he.
