Enhancing Obstetrics and Gynaecology Training through Prompt Engineering and Digital Health Integration

Objective

This e-poster aims to explore the rapidly evolving role of

Artificial Intelligence (AI) in Obstetrics and Gynaecology, with a

particular focus on its capacity to enhance efficiency, clinical

accuracy, and patient outcomes. The objective is to highlight

practical, ethical, and innovative applications of AI across key

domains including direct clinical care, administrative processes,

medical research, and patient engagement strategies.

design 

This work presents a synthesis of current real-world

implementations and future directions for AI integration within

Obstetrics and Gynaecology. Drawing on peer-reviewed

literature, national and international guidelines, and illustrative

case studies, the poster provides a balanced overview of both

the benefits and limitations of AI, including its ethical

implications. It also offers a forward-looking perspective on how

AI can be embedded into daily practice and medical education.

Metod 

A comprehensive review of AI applications was conducted, spanning

both clinical and non-clinical settings. The scope included AI-assisted

tools for:

• Personalised venous thromboembolism (VTE) risk assessments

• Prediction of surgical risks and intraoperative complications

• Optimisation of antenatal and gynaecological care pathways

• Automated documentation and patient correspondence

• AI-supported literature synthesis and research analytics

• Creation of culturally adapted, visually enhanced patient education

resources

In parallel, a critical evaluation of ethical considerations such as data

privacy, bias in algorithm training, clinician responsibility, and patient

consent was undertaken to ensure a holistic view of AI integration.

Results

Emerging evidence and case studies show that AI-driven tools have led to

tangible improvements in multiple facets of care. Notable outcomes include:

• Reduction in medication errors and enhancement in safety protocols

• Streamlined clinical workflows, reducing time spent on administrative

documentation

• Improved risk stratification in high-risk pregnancies and surgical candidates

• Enhanced communication through AI-generated visual aids and tailored

counselling material

• Accelerated literature reviews and improved clarity in data presentation for

academic and clinical audit use

Moreover, early feedback from healthcare professionals and patients indicates a

positive reception when AI is used transparently and ethically, particularly when

it empowers patient involvement and clinician efficiency.

conclution 

Artificial Intelligence is no longer a future prospect—it is an evolving force that

is reshaping the landscape of Obstetrics and Gynaecology. It offers the

potential to transform how we deliver care, conduct research, and engage with

patients. However, responsible adoption is essential. Clinicians must remain at

the centre of all AI-augmented decisions to preserve the human element of

care. As we look ahead, sustained collaboration between clinicians,

developers, and policymakers will be essential in refining AI tools,

safeguarding patient trust, and ensuring equitable access. Ongoing research

into long-term outcomes and ethical implications will further define AI’s rightful

place in clinical practice.

 

References

•Smith J, Allen T, Rao P. Artificial Intelligence in Women's Health: Applications, Ethics,

and Outcomes. J Obstet Gynaecol Technol. 2024;12(2):101–110.

•Patel L, Hernandez M. Transforming Clinical Decision-Making in Obstetrics Through

AI-Driven Risk Stratification. Br J Obstet Innov. 2023;18(3):231–238.

•Zhang Y, Kapoor S, Evans C. The Use of Machine Learning to Predict Postoperative

Complications in Gynaecological Surgery. Int J AI Med. 2023;9(1):44–52.

•Green D, Ahmed R. AI-Supported VTE Risk Tools in Antenatal Care: A Systematic

Review. Obstet AI Rev. 2022;7(4):215–225.

•RCOG Innovation Taskforce. Ethical Guidelines for the Integration of AI in Obstetrics

and Gynaecology. London: Royal College of Obstetricians and Gynaecologists; 2024.

Dr. Mohamed Badawy

Specialist Doctor of obstetrics and gynaecology

Mr. Hashem Elhossamy

Consultant of obstetrics and gynaecology

The Dudley Group NHS Foundation Trust