Developing AI for healthcare requires a different mindset: accuracy alone isn’t enough. Models need to be interpretable, robust, and aligned with clinical workflows to create meaningful impact
Developing AI for healthcare requires a different mindset: accuracy alone isn’t enough. Models need to be interpretable, robust, and aligned with clinical workflows to create meaningful impact
Developing AI for healthcare requires a different mindset: accuracy alone isn’t enough. Models need to be interpretable, robust, and aligned with clinical workflows to create meaningful impact