| We believe radiology AI is most happening innovation in field of healthcare and medical diagnosis. Machine and deep learning in Radiology is one of the lead innovation in the field of healthcare at present. Lots of developments happening each day are taking us closer to a perfected radiology image reading software. We may reach there sooner than thought and radiologist will have effective tool in hand to make diagnosis with much easy and diagnostic accuracy.
Worldwide Radiology AI firms are making impact in this field already and few are just warming up recently, even in developing countries. Radiology AI start-ups are focusing on niche projects to solve unique diagnostic problems. Young entrepreneurs and engineers are heading most such undertakings.
Radiology database is core necessity in developing and training the radiology AI algorithms. Larger and varied is the database, better is the algorithm evolution. Significant resources have been allotted to create database banks for current and future needs by most AI units.
Initially most firms AI firms were focused on getting data specific to their project , but since the horizon of projects are growing most firms are opting for bulk database for current or future projects. |
