The adoption of computer vision and AI in healthcare faces significant resistance.
We have seen this with all critical, life-related fields. Highly trained medical professionals are often reluctant to trust automated systems or delegate full responsibility to them—and rightfully so. However, computer vision in healthcare is not about replacing the expertise and experience of medical professionals but rather enhancing and empowering it.
A sample of computer vision applications we developed for the healthcare industry:
Augmented reality for 3D guided thermal ablation
Evaluation of images depicting eye fundus for medical diagnoses
Stereo camera design for dental scans and 3D reconstruction
Automatic layout estimation for digitalization of pharmaceutical information leaflets
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