Artificial intelligence and machine learning tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes, an ability that is proving helpful in radiology and pathology.
Images obtained by MRI machines, CT scanners, and x-rays, as well as biopsy samples, allow clinicians to see the inner workings of the human body. However, these images often contain large amounts of complex data that can be difficult and time consuming for human providers to evaluate.
AI tools can augment the workflow of radiologists and pathologists, acting as clinical decision support and enhancing care delivery.
“There are so many moving pieces when it comes to artificial intelligence,” Keith Dreyer, DO, PhD, Chief Data Science Officer and Corporate Director of Enterprise Medical Imaging at Partners Healthcare, told HealthITAnalytics.com.
“Imaging analytics is a good example of the complexity involved in all different disciplines, as well as the pace of progress that we’re seeing in AI development at large.”