As artificial intelligence (AI) continues to transform healthcare—optimizing diagnostics, enhancing surgical precision, and streamlining patient care—scientific societies must take a proactive role in shaping its development and application. For the AAGL, which has long championed innovation in MIGS, this means leading the integration of AI, augmented reality (AR), and virtual reality (VR) into our specialty with rigor, responsibility, and foresight.
To ensure that these technologies deliver on their promise safely and ethically, the AAGL has established a dedicated Task Force charged with:
- Defining AI Task Force Organizational Structure: Establishing the task force governance, subcommittees if needed, and reporting pathways to integrate AI initiatives seamlessly into AAGL’s existing framework.
- Navigating Ethics, Legal & Regulatory Implications: Partnering with bioethicists, legal advisers, and regulatory experts to create frameworks that safeguard patient privacy, safeguarding appropriate use of AI in clinical, academic or educational activities, ensure informed consent for AI/AR-assisted procedures, clarify liability, and guide device approvals.
- Assessing Needs & Opportunities: Conducting surveys and stakeholder interviews to pinpoint clinical, educational, and ergonomic gaps where AI, AR, or VR could deliver the greatest value.
- Educating & Empowering Members: Developing foundational AI curricula and hands-on workshops to teach AAGL members how to integrate AI tools into their daily professional practice—enhancing clinical decision-making, automating routine tasks, saving time, and allowing more meaningful patient interaction.
- Addressing Safety, Validation & Human Factors: Collaborating with clinical researchers and human-factors engineers to design robust studies, define performance benchmarks, and evaluate cognitive workload, usability, and ergonomic impact.
- Charting Development Roadmaps: Outlining priority areas—such as computer-vision guidance for hysteroscopy, AR overlays during laparoscopy or predictive analytics for post-operative recovery.
Who Should Apply:
- AAGL members with backgrounds in data science, machine learning, biomedical engineering, or immersive technologies
- Professionals from the high-tech/AI/AR/VR industry eager to apply their expertise to MIGS
- Legal and regulatory advisers with experience in medical devices, patient rights, and healthcare policy
Application Due Date: August 15, 2025