Obstetricians and Gynecologists

Surgeries are another example: high-tech surgical robots (like the Da Vinci system) assist in gynecological operations, and there are even early uses of robots for complex C-sections ^[1]. But these robots are controlled by surgeons – they augment the doctor’s skill (for steadier hands or better vision) rather than replace the surgeon. Patient communication is also hard to automate.

Large language models (AI chatbots) can answer patient questions – one study showed that ChatGPT and others could explain a condition (pelvic organ prolapse) to patients, with ChatGPT giving more complete answers and another model answering more precisely ^[1]. However, doctors still must check and personalize any AI answer, so that patients really understand. In summary, AI and robots do help with parts of OB/GYN work (like reading scans and assisting surgery ^{[1] [1]}), but all core tasks – doing exams, running surgery, prescribing care and explaining things – still need human doctors.

The computer tools are there to support doctors, not fully take over.

On the other hand, barriers are real. Cost is a major issue: advanced surgery robots and AI systems can be very expensive. For example, a study found robot-assisted hysterectomy cost much more than a standard laparoscopy without improving patient outcomes ^[1].

Hospitals must weigh that against the savings of having doctors do the work themselves. Trust and safety also matter hugely in childbirth and women’s health. Many experts emphasize that AI should assist doctors, not replace the caring doctor–patient relationship ^[1]. Researchers even point out “lack of regulation and slow adoption of frameworks” in pregnancy care ^[1], meaning policies and safety checks for new AI tools are still catching up.

Pregnant patients and doctors tend to be cautious about new tech: they want clear proof an AI is safe and correct before relying on it.

In short, AI in obstetrics is like a powerful helper under construction. It can do some smart tasks (flagging high blood pressure, analyzing images, answering routine questions) but so far it’s augmenting doctors, not taking over ^{[1] [1]}. Over time, as tools become proven, cheaper, and well-regulated, we may see more use in clinics and hospitals.

Until then, OB/GYN skills like careful judgment, hands-on care and empathy remain irreplaceable. AI offers hope to support those skills (for example by giving doctors better data), but young people reading this can relax: the personal care of an OB/GYN is still in human hands.