Digital HealthFree Registration90 minutes

AI Diagnostics in Clinical Practice: From Theory to Bedside

AO
Dr. Amara Osei-Bonsu
WHO Digital Health Advisor
World Health Organization · Ghana
Date
June 15, 2026
Time
14:00 UTC
CME
1.5 AMA PRA Category 1 Credits™
Free
June 15, 2026 at 14:00 UTC
4,200 registered70% capacity
Register for Free
Live Q&A with the speaker
Recording available for 12 months
1.5 AMA PRA Category 1 Credits™
Certificate of completion
Topics:AIDiagnosticsEmergency MedicineClinical Decision SupportMachine Learning

About This Webinar

Artificial intelligence is moving from conference presentations to clinical reality, but many practitioners still feel unprepared to integrate AI tools into their daily workflows. This webinar bridges that gap with practical, implementation-focused guidance from one of the field's most respected voices.

Dr. Osei-Bonsu will walk participants through three live case demonstrations using commercially available AI diagnostic platforms, including their performance benchmarks, failure modes, and the clinical workflows that have made them successful in high-volume emergency departments.

The session will also address the regulatory landscape: how to evaluate AI tools for your institution, what questions to ask vendors, and how to maintain clinician authority in AI-augmented workflows. Particular attention will be given to implementation in low-resource settings, where AI holds the greatest transformative potential.

All registered participants will receive a post-webinar resource pack including evaluation frameworks, vendor questionnaire templates, and a curated reading list. CME credit is available for all participants who complete the post-event assessment.

Session Agenda

14:00
Welcome and speaker introduction
14:05
AI diagnostics landscape: where are we in 2026?
14:20
Live demonstration 1: AI-assisted stroke detection in ED
14:35
Live demonstration 2: Sepsis prediction algorithms
14:50
Live demonstration 3: AI radiology in resource-limited settings
15:05
Implementation framework: evaluating AI tools for your institution
15:20
Regulatory and liability considerations
15:30
Live Q&A session

About the Speaker

AO
Dr. Amara Osei-Bonsu
WHO Digital Health Advisor
World Health Organization
Ghana

Dr. Osei-Bonsu is a leading authority on AI integration in emergency and primary care settings. With over 15 years of clinical experience across West Africa and Europe, she advises the WHO on digital health deployment in resource-limited settings and has published more than 80 peer-reviewed papers on AI diagnostics.

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4,200 clinicians from around the world have already registered.