Over the past two years, artificial intelligence has stopped being a promise in gynecology and started being a tool. AI models now help classify ovarian masses on ultrasound, flag suspicious cervical images, sort colposcopy findings and take the note-writing burden off consultations. Patients understandably want to know what this means: is a machine deciding my treatment? The honest answer is no — but the machine is increasingly the second pair of eyes, and that is a good thing.
Where AI is already useful
The strongest evidence sits in image interpretation. Ultrasound models trained on tens of thousands of scans can classify an adnexal mass as likely benign or likely malignant with an accuracy that matches an experienced sonologist and comfortably beats a general clinician. In practice this means fewer unnecessary referrals for simple cysts and faster escalation for the ones that matter.
The second real gain is administrative. Ambient AI scribes now draft the consultation note while the doctor listens. It sounds mundane, but the effect in clinic is significant: the surgeon spends the appointment looking at you instead of a screen, and the summary you receive afterwards is more complete.
AI is a very good second opinion on an image. It is not a second opinion on your life, your fertility plans or your risk tolerance.
Where it falls short
AI is weakest exactly where gynecology is hardest. Superficial endometriosis is largely invisible on imaging, so no algorithm can rule it out; only laparoscopy can. Models also inherit the biases of their training data — most published gynecologic AI is trained on European and North American populations, which is a genuine limitation for African patients and one we watch closely.
And AI cannot weigh what actually decides most treatment plans: whether you want more children, how much time off work you can afford, your tolerance for hormonal therapy, your family history. Those are conversations, not classifications.
How we use it in this practice
Our position is simple: AI supports the diagnosis, a surgeon owns it. Where AI-assisted ultrasound reporting is available it is used as an additional check on a scan already interpreted by a specialist, never as a replacement. Nothing generated by a model reaches your treatment plan without being reviewed and signed off by Prof. Parkar.
What to ask your own clinician
If a clinic tells you an AI tool was used, three questions are fair and useful: what was the tool used for, who reviewed the result, and would the recommendation change without it? A clinician who can answer those clearly is using the technology properly.
Practical takeaways
- AI-assisted ultrasound is strongest for classifying ovarian and adnexal masses
- No AI tool can currently rule out superficial endometriosis — laparoscopy remains definitive
- Ask who reviewed any AI-generated result before it entered your record
- Ambient note-taking is now common; you can ask for a copy of the summary
Common questions
Will AI replace my gynecologist?
No. AI improves pattern recognition on images and paperwork. Diagnosis, surgical judgement and treatment choices remain firmly with the specialist who examines and knows you.
Is my data safe if AI tools are used?
Ask your clinic where the data is processed and whether it is de-identified. Reputable clinics use tools that do not retain patient-identifiable data for model training, and they will tell you so in writing.
Book a consultation with Prof. Parkar
A private, unhurried appointment to review your history and design a plan that fits your life.
