AI in Ophthalmology

Machine Learning in Ultrasound Guided Surgery and Intervention

Can we trust AI?

Challenges and Future of Surgical Robotics

AI-assisted Surgery for Next Generation Intervention

Machine Learning in Medical Imaging – Current Challenges

AI and the Future of Radiology

Emerging Technologies in AI for Surgical Imaging

Does machine learning-based biomedical image analysis require domain experts?

Endoscopic Ultrasound AI-Guided Interventions: current approaches and challenges

Machine learning in medical imaging: from image acquisition to interpretation

Artificial Intelligence and its impact on healthcare

Integrating clinical guidance in AI product development for Medtech imaging

AI-Assisted Surgery: Perspectives and Challenges

Digital Orthopaedics: The rise of specialty focus in digital health

Towards Understanding Surgical Scenes Using Computer Vision

Post-Pandemic Portfolio: Managing innovation to drive growth in our new reality

Computer Vision Project Management in the Age of AI

Applications of Computer Vision from Endoscopy to Microscopy

Implementing AI in Endoscopy

Regulatory Procedures for AI in Medical Devices

AI-based Segmentation in CT

Computer Vision and AI in Pharma

Project Management for AI Implementation in Medical Devices

Implementing AI in your Pharma Company: DOs and DON’Ts

In a heartbeat: Implementing AI in cardiology

Using AI in Clinical Trials

How to Boost your Medical Application with AI

AI in Medical Devices and Medical Imaging Applications

Deep Learning for the Segmentation, Classification and Quantification of Dendritic cells