19/04/2025
Diagnosing Endometriosis has long felt like assembling a puzzle without all the pieces.
Years of symptoms. Countless consultations. And still, no clear answer.
Now, Artificial Intelligence offers a new possibility.
By detecting subtle patterns across imaging, symptoms, and patient history, AI could help identify Endometriosis earlier and more accurately than ever before.
But powerful tools demand careful handling.
AI is only as good as the data it learns from, and in a condition as complex and varied as Endometriosis, that means accounting for a wide spectrum of experiences.
If developed thoughtfully, AI could do more than speed up diagnosis. It could reshape how Endometriosis is understood, recognised, and treated.
That future isn’t far. But it starts with the questions we choose to ask right now.
What kinds of symptoms and stories are being included in the data?
(Endometriosis doesn't present the same way in every person.)
Who is helping design these tools?
(Are patients, gynecologists, pain specialists, and researchers all in the room?)
Are we building for convenience, or for care?
(Faster diagnoses are important. So is ensuring the outcomes are compassionate and accurate.)
How do we make sure this technology is accessible, and not just available to a privileged few?
The promise of AI is real. But so is the responsibility that comes with it.
Endometriosis has been misunderstood and overlooked for far too long. If we’re building a new path forward, let it be one shaped by care, inclusivity, and deep listening. Not just to data, but to the people living this reality every day.
Their voices are not just part of the story.
They are the story.
Dr Vimee Bindra - Robotic / Laparoscopic Pelvic and Endometriosis Surgeon COPE Clinics Vimee Bindra Basu
