Elad Benjamin of Philips says gathering data at scale and labeling data are among the challenges that come with scaling AI tools, reports Healthcare IT News.
The question many companies are seeking to answer is: “How do we use machine learning and deep learning to analyze medical imaging data and identify relevant clinical findings that should be highlighted to radiologists or other imaging providers to provide them with the decision support tools they need?”
Benjamin described common challenges and bottlenecks in the process of developing and marketing AI tools, noting that some were specifically hard to tackle in healthcare.
Read more in Healthcare IT News.
