​Frontline insights into what it really takes to build, test, deploy, and scale AI in healthcare.

​Artificial intelligence is rapidly reshaping healthcare, but moving an AI solution from an idea or pilot into a real clinical environment is rarely straightforward.

​Hosted by NovaForge AI Venture Lab, Real-World AI in Healthcare: Lessons from the Field brings together healthcare leaders, clinicians, AI founders, MedTech innovators, product builders, engineers, researchers, investors, and ecosystem partners for a candid conversation about the practical realities of healthcare AI.

​Moving beyond theoretical possibilities and market hype, this event will explore real-world experiences from professionals who have built, tested, implemented, or scaled AI solutions in clinical and healthcare environments.

​The discussion will focus on what worked, what failed, where unexpected challenges emerged, and where the most promising opportunities are developing. The event reflects the proposal’s emphasis on practical experience, deployment challenges, human adoption, and identifying high-impact opportunities for AI in healthcare.

​What We’ll Explore

​Topics include:

• ​What is genuinely changing in patient care and clinical operations—and what remains hype

• ​Real-world lessons from building, testing, and deploying healthcare AI

• ​Failed pilots, implementation traps, and lessons learned

• ​Data integration, legacy systems, and workflow bottlenecks

• ​Clinician trust, adoption, and change management

• ​Human-in-the-loop systems and responsible AI deployment

• ​Privacy, patient safety, compliance, governance, and regulatory challenges

• ​Clinician burnout and the human realities of introducing new technologies

• ​Underserved healthcare needs and emerging AI opportunities

• ​Collaboration between healthcare organizations, AI builders, founders, investors, and implementation partners

​Who Should Attend

​This event is designed for:

• ​Healthcare executives and clinical leaders

• ​Physicians, nurses, and frontline healthcare professionals

• ​AI, MedTech, digital-health, and health-tech founders

• ​Machine-learning engineers, data scientists, and AI researchers

• ​Product managers and healthcare technology builders

• ​Hospital innovation, digital-transformation, and IT teams

• ​Enterprise architects and healthcare data leaders

• ​Privacy, compliance, governance, and regulatory professionals

• ​Investors, policymakers, strategists, and ecosystem partners

• ​Organizations supporting the implementation and scaling of AI solutions

​What Attendees Will Gain

​Attendees will gain:

• ​Practical insights from professionals actively working with AI in healthcare

• ​A clearer understanding of common deployment and adoption challenges

• ​Lessons that can help teams avoid costly implementation mistakes

• ​A realistic view of where healthcare AI is creating value today

• ​Exposure to emerging use cases and underserved opportunities

• ​Connections across healthcare, artificial intelligence, MedTech, research, investment, and innovation

​The event is designed to turn real-world challenges into practical lessons while identifying areas where emerging AI tools can create meaningful clinical and operational value.

​Speakers & Topics

​Dr. Meraj Khan

​Dr. Meraj Khan will share real-world lessons from building and deploying AI in healthcare, drawing on his experience developing LungSense® and working at the intersection of healthcare technology and clinical needs. The conversation will explore what it takes to move healthcare AI from innovation to practical, real-world impact.

​Vijesh Vijayan

​Vijesh Vijayan will explore healthcare AI adoption—the blockers, the breakthroughs, and what comes next. He’ll draw on historical technology challenges and real-world examples of successful and failed rollouts to offer practical insights for organizations looking to implement AI effectively.

​Leigh Mitchell

​Leigh Mitchell will explore the human advantage in healthcare leadership as AI transforms the industry. She’ll examine how judgment, empathy, perspective, relationships, and trust can help healthcare professionals build a clear leadership imprint and remain visible, differentiated, and trusted in an AI-enabled world.

​Tanya Lindsay

​Tanya Lindsay is the Founder & CEO of Aranexx, a MedTech company focused on advancing women’s health through real-world data, wearable sensing, and AI. Her work explores how continuous hormone monitoring and personalized health data can help address gaps in our understanding of women’s health, starting with perimenopause and menopause.

​About NovaForge

​NovaForge AI Venture Lab is a nonprofit AI incubator and accelerator supporting founders, technologists, researchers, startups, and industry leaders building scalable and high-impact artificial intelligence solutions.

​Through incubation, acceleration, mentorship, partnerships, community programs, events, and ecosystem development, NovaForge connects AI builders with the knowledge, resources, relationships, and collaborative opportunities needed to move promising ideas toward real-world implementation and impact.

​Event Details

​Date: Wednesday, August 26, 2026
Time: 6:30–9:30 PM
Location: Office146, South Etobicoke, Ontario

​Parking: Free parking is available at the venue.