We are experiencing rapid advancements in AI, especially in the areas of natural language processing and computer vision. These AI breakthroughs have had positive effects on various industries, but the healthcare sector stands to benefit the most.
We have identified several challenges that must be tackled to drive real change in the medical field, particularly concerning medical imaging. The current technology is characterized by a lack of multimodal models, single-task learning, poor explainability, low generalization, and zero dynamism. All these features encourage AI to be viewed as a supplementary tool rather than a critical element in improving patient experiences. Addressing the discussed problem is mandatory to facilitate the adoption of IA technology in health institutions, benefiting the patient's journey and the healthcare teams.
