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Dr Sneha Ankur

Paediatric and Women’s Imaging Expert and Academician at a Tertiary Care Hospital in Dubai

Paediatric radiology AI, clinical decision support and immersive medical education.

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Dr Sneha Ankur
For event planners

At a glance.

Focus
Paediatric radiology AI, clinical decision support and immersive medical education.
Consider for
Radiologists, clinicians, paediatricians, paediatric surgeons, sonographers, radiographers, medical educators, trainees, simulation teams, digital health and AI governance leaders, and healthcare organisations considering AI, XR, or clinical decision support initiatives.
Plan together
Keynote or invited talk: 30, 45, or 60 minutes, with optional 10 to 15 minutes of Q&A. Interactive workshop: 60 to 90 minutes, with guided discussion and practical application. Panel contribution or fireside conversation: 30 to 60 minutes. Available in person or virtually. Sessions can be tailored to the audience’s clinical role, learner level, service context, and strategic objectives.

Speaking evidence

Speaking sample

A speaking sample will be added when available. Contact Signal & Stage to discuss the session and audience fit.

Speaking topics

Topics for your event.

Three sessions on radiology AI, clinical decision support and immersive medical education.

The Pragmatist’s Guide to AI in Pediatric Radiology: From Pixels to Practice

A session led by a clinician on how to approach AI in paediatric imaging. It explains why children cannot be treated as “small adults” in AI validation, identifies realistic areas for decision support and education, and offers a practical framework for local evaluation, governance, and radiologist oversight.

  • Identify a genuine clinical or educational problem before considering an AI tool.
  • Ask whether a tool has relevant evidence in children, a clear intended use, and safe human oversight.
  • Plan a staged, measurable local pilot that considers safety, workflow, quality, experience, and equity.

Immersive Learning: How AR and VR Are Shaping Radiology Training

An overview informed by evidence of augmented reality, virtual reality, and extended reality in radiology education. The session covers anatomy teaching, virtual reading rooms, procedural simulation, emergency scenario training, implementation barriers, and meaningful educational outcomes.

  • Match AR, VR, or mixed reality formats to appropriate radiology learning objectives.
  • Understand where immersive learning may support anatomy, image interpretation, procedural rehearsal, and emergency training.
  • Build a phased implementation plan with realistic measures for learner engagement, skill acquisition, safety, and programme value.

Clinical Intelligence: AI for Informed Decision Making

A practical discussion of how clinical decision support can assist preparation, information synthesis, and workflow without replacing professional judgement. It distinguishes useful support from autonomous decision making and focuses on validation, governance, appropriate use, and accountability.

  • Differentiate clinical decision support from autonomous diagnosis or management.
  • Recognise common implementation risks, including hallucination, workflow mismatch, alert fatigue, and unclear accountability.
  • Use a framework led by clinicians to assess whether a proposed AI initiative is ready for research, a local pilot, or routine use.
About Sneha

Radiology, AI and medical education

Dr Sneha Ankur is a paediatric and women’s imaging expert and academician at a tertiary care hospital in Dubai. Alongside her clinical work, she is involved in undergraduate radiology education and sonographer development. She speaks about practical, safe adoption of artificial intelligence, clinical decision support, and immersive learning in healthcare. Her focus is helping clinical and education teams connect new technology to real problems while maintaining evidence, governance, patient safety, and accountable human oversight. Dr Ankur holds an FRCR (London), a Postgraduate Certificate in Artificial Intelligence and Machine Learning from Caltech, and has completed Harvard Medical School’s AI in Healthcare: Strategy to Implementation programme.

Quick facts

What does Dr Sneha Ankur speak about?
Topics include The Pragmatist’s Guide to AI in Pediatric Radiology: From Pixels to Practice; Immersive Learning: How AR and VR Are Shaping Radiology Training; Clinical Intelligence: AI for Informed Decision Making.
Which formats does Dr Sneha Ankur offer?
Confirmed formats: keynote, workshop, panel, fireside chat, virtual session.
Where is Dr Sneha Ankur based?
Dr Sneha Ankur is based in Dubai, UAE.
How do I book Dr Sneha Ankur?
Use the Signal & Stage inquiry form; Harvey Castro, MD replies within one business day.
Plan your session

Plan a session for your audience

Keynote or invited talk: 30, 45, or 60 minutes, with optional 10 to 15 minutes of Q&A. Interactive workshop: 60 to 90 minutes, with guided discussion and practical application. Panel contribution or fireside conversation: 30 to 60 minutes. Available in person or virtually. Sessions can be tailored to the audience’s clinical role, learner level, service context, and strategic objectives.

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