The right to understand in healthcare AI
As AI becomes more integrated into healthcare, questions around trust, transparency, and clinical responsibility are becoming increasingly important.
When an AI system informs a clinical decision, who has the right to understand how it reached that conclusion? And what does “explainability” actually mean for a clinician under time pressure, or for a patient facing a diagnosis?
In the latest episode of the VPH Digital Twin Theory podcast, we speak with Anshu Ankolekar, researcher at Maastro Clinic in the Netherlands, where she works on AI in oncology, clinical decision support systems, patient-centred AI design, and healthcare regulation.
The conversation covers:
· What AI explainability really means in clinical practice
· The risk of AI adding to clinician workload rather than reducing it
· Cognitive biases, in both humans and algorithms
· Why collaboration between developers, clinicians, and patient advocates is not optional
A thoughtful, grounded conversation on one of the most consequential questions in healthcare AI right now.
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