Evolving Role of Artificial Intelligence in Obstetrics & Gynaecology | Dr. Hrishikesh D. Pai
Technology and AISummary for practice owners
Dr. Hrishikesh D. Pai surveys digital health and artificial intelligence applications that may affect obstetrics and gynecology, from telemedicine and patient communication to imaging, fertility services and clinical data analysis. He introduces broad AI concepts before discussing examples such as image assessment, fetal monitoring, ultrasound support, embryo evaluation and tools that estimate IVF outcomes. The talk is wide ranging and reflects the speaker’s view that these systems may support parts of care and practice work as technology develops.
For practice owners, the operational thread is that AI tools depend on data, computing resources and staff readiness. The speaker encourages clinicians to learn about new systems and consider how routine tasks might be supported. He also describes limits: systems may be difficult to interpret, their output needs human review, and the talk stresses that AI should assist professionals instead of replace their judgment. One panelist raises the importance of data that represents the relevant population, and cautions against transferring algorithms across patient groups without scrutiny.
The presentation is most useful as a map of possible applications and questions for leadership teams. Owners can identify where a technology might fit into an existing workflow, what data it relies on, who will evaluate its output and what training would be needed. The examples span clinical and laboratory contexts, so the video is not a procurement guide or implementation plan. Its owner value lies in prompting a measured technology discussion: define the operational need first, assess evidence and local relevance, plan human oversight and consider how a new tool would affect staff work and existing processes.
Owner takeaways
- 1:36 Digital health examples include telemedicine, patient connections and digital communication.
- 7:57 The speaker describes using varied clinical data as inputs for AI systems.
- 10:04 Examples include imaging support, fetal monitoring and labor management tools.
- 27:08 The panel describes AI as a field that requires training and recognition of its limits.
- 35:47 A panelist stresses that data should reflect the populations for which a tool will be used.
Why it made the list
The talk surveys possible AI applications across OB-GYN and raises useful leadership questions about training and data, along with oversight. It has 860 views and 14 likes.
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This video is published by Walter Bushnell on YouTube. Obstetricians.com is not affiliated with the creator, and inclusion is not an endorsement by either party. Watch it on YouTube.