SurgiAI 2027: Artificial Intelligence, Robotic Surgery, Digital Health & Next-Generation Surgical Technologies
- 15-16 April 2027
- San Francisco, California USA
SurgiAI 2027: Artificial Intelligence, Robotic Surgery, Digital Health & Next-Generation Surgical Technologies
- 15-16 April 2027
- San Francisco, California USA
Theme: The Future of Surgery: AI-Driven Intelligence, Robotics & Digital Transformation
About this Conference
Welcome to SurgiAI 2027, a premier international conference dedicated to exploring the transformative role of artificial intelligence, robotic surgery, digital health, and emerging technologies in modern surgical practice.
The conference brings together surgeons, physicians, researchers, academicians, healthcare professionals, biomedical engineers, technology experts, innovators, and industry leaders to exchange cutting-edge research, clinical experiences, technological developments, and innovative solutions shaping the future of surgery.
The conference will be conducted in a hybrid format, enabling participants to attend physically in San Francisco, California, USA, or virtually from anywhere in the world.
Important Dates
Abstract Submission Deadline: 10 April 2027
Early Bird Registration Deadline: 31 October 2026
Conference Dates: 15–16 April 2027
Conference Overview
SurgiAI 2027 aims to provide a global platform for advancing knowledge and collaboration at the intersection of surgery, artificial intelligence, robotics, digital health, and next-generation medical technologies.
The conference will explore innovative technologies and clinical approaches that improve surgical precision, patient outcomes, workflow efficiency, safety, accessibility, and personalized care.
Conference Topics
The conference covers a wide range of topics, including but not limited to:
Artificial Intelligence in Surgery
AI-Assisted Surgical Decision-Making
Robotic Surgery and Surgical Robotics
Autonomous and Semi-Autonomous Surgery
Digital Surgery and Smart Operating Rooms
Computer-Assisted Surgery
Medical Imaging and AI-Based Diagnostics
Surgical Navigation and Augmented Reality
Virtual Reality and Extended Reality in Surgery
Digital Health and Remote Surgical Technologies
Machine Learning and Deep Learning in Healthcare
Generative AI in Medicine and Surgery
Surgical Data Science and Predictive Analytics
Precision and Personalized Surgery
Telemedicine and Remote Surgery
Wearable and Connected Healthcare Technologies
Biomedical Engineering and Surgical Devices
AI for Surgical Training and Simulation
Human–AI Collaboration in Healthcare
Ethics, Safety, Privacy, and Regulation of Medical AI
Future Trends in Surgical Innovation
Why Attend the Conference?
By attending SurgiAI 2027, participants will have the opportunity to:
Present Research: Share innovative research, clinical studies, technologies, and case experiences.
Network: Connect with surgeons, researchers, healthcare professionals, technology experts, and industry leaders.
Learn: Gain insights from keynote presentations, plenary talks, technical sessions, and expert panels.
Collaborate: Develop academic, clinical, research, and industry partnerships.
Explore Innovation: Discover emerging AI, robotics, digital health, and surgical technologies.
Publication Opportunities: Selected papers may be considered for publication in conference proceedings and reputed journals.
Benefits of Attending
International visibility for researchers and professionals
Expert keynote and plenary presentations
Interactive technical sessions and panel discussions
Global networking and collaboration opportunities
Exposure to emerging surgical technologies
Research and publication opportunities
Certificate of participation and presentation
Opportunities for academic and industry partnerships
Platform for showcasing innovative technologies and projects
Connections with global healthcare and technology leaders
Call for Papers
Researchers, surgeons, physicians, academicians, healthcare professionals, biomedical engineers, technology specialists, innovators, and industry experts are invited to submit original contributions to SurgiAI 2027.
We welcome submissions including:
Full Research Papers
Short Papers
Work-in-Progress Papers
Posters
Clinical Case Studies
Technical Reports
Review Papers
Innovative Projects
Best Practices
All submissions will undergo a rigorous peer-review process by the international scientific and technical committee.
Indexing & Publication
The conference proceedings will be evaluated for inclusion in major indexing services (Terms & Conditions apply), supporting the global visibility and dissemination of presented research.
Honorarium
We are pleased to offer honorariums to selected keynote and invited speakers.
To qualify, speakers are required to secure a minimum of 5 paid registrations (individual or group registrations) from their students, colleagues, or professional networks. The honorarium amount will depend on the number of registrations obtained.
Travel
Due to limited budget resources, the conference will not be able to sponsor travel expenses for participants or speakers. Participants are requested to arrange their own travel and accommodation.
Important Note
This conference is organized independently. Registration fees are utilized to support conference logistics, including venue arrangements, conference materials, networking sessions, and participant services.
Venue
The conference will be held in San Francisco, California, USA.
Contact Information
For inquiries regarding the conference, please contact:
Email:
Register Now
Don’t miss the opportunity to be part of SurgiAI 2027.
Register today and join surgeons, researchers, healthcare professionals, academicians, innovators, technology experts, and industry leaders shaping the future of intelligent, connected, and technology-driven surgery.
Preliminary Program
Conference sessions
AI-Powered Surgery & Intelligent Clinical Decision-Making
Explores the integration of artificial intelligence into modern surgical practice, enabling data-driven diagnosis, treatment planning, intraoperative guidance, and personalized patient care. Sessions will highlight AI-assisted surgical navigation, predictive analytics, computer vision, clinical decision-support systems, and real-time intelligent technologies that enhance surgical precision, safety, efficiency, and patient outcomes.
Robotic Surgery & Next-Generation Surgical Platforms
Examines emerging innovations in robotic-assisted surgery and advanced surgical platforms that are transforming modern clinical practice. The session will focus on precision robotics, minimally invasive techniques, intelligent surgical systems, advanced instrumentation, haptic feedback, autonomous technologies, and next-generation platforms designed to improve surgical accuracy, efficiency, safety, and patient outcomes.
Surgical Data Science & Predictive Intelligence
Explores the application of data science, predictive analytics, and machine intelligence to enhance surgical decision-making and patient care. The session focuses on surgical data integration, risk prediction, outcome forecasting, personalized treatment strategies, clinical analytics, and real-time insights that support safer, more precise, and evidence-based surgical practice.
Digital Twins, 3D Modeling & Personalized Surgical Technologies
Explores the use of digital twins, advanced 3D modeling, and personalized technologies to transform surgical planning and patient care. The session highlights patient-specific anatomical modeling, virtual surgical simulation, procedure optimization, personalized treatment planning, and immersive digital tools that enhance surgical precision, visualization, and clinical outcomes.
AI in Surgical Oncology & Precision Cancer Surgery
Examines the integration of artificial intelligence into surgical oncology to advance precision, personalization, and clinical decision-making. Key areas include AI-driven imaging and tumor assessment, predictive analytics, surgical planning and navigation, robotic-assisted procedures, intraoperative intelligence, and data-driven approaches aimed at optimizing cancer surgery, patient outcomes, and safety.
Emerging Surgical Robotics: Soft, Flexible & Micro-Robotics
This session explores the next generation of surgical robotics, focusing on soft, flexible, miniature, and micro-robotic systems designed to enhance precision, accessibility, and minimally invasive care. Discussions will highlight innovative robotic platforms, flexible instruments, miniature robots, autonomous navigation, and advanced materials that enable safer and more adaptable surgical procedures. The session will also examine emerging applications, clinical translation, human–robot collaboration, and the future potential of soft and micro-robotics in complex surgical interventions.
Cybersecurity & Data Protection in Digital Surgery
Addressing cybersecurity, data privacy, and secure digital infrastructure to protect patient information, connected surgical systems, and AI-enabled technologies while ensuring safe, reliable, and trustworthy digital surgical care.
Future Frontiers: From AI-Assisted to Autonomous Surgery
Exploring the evolution of AI-assisted surgery toward autonomous systems, focusing on intelligent decision-making, robotic precision, real-time guidance, surgical safety, and the future of human–AI collaboration in the operating room.
Surgical AI Ethics, Safety, Regulation & Cybersecurity
Exploring ethical AI use, patient safety, regulatory compliance, data privacy, and cybersecurity to ensure secure, transparent, and trustworthy AI-driven surgical technologies.
AI-Powered Surgical Education, Simulation & Training
Advancing surgical education through AI-driven simulation, immersive technologies, and intelligent training platforms that enhance clinical skills, procedural proficiency, performance assessment, and competency-based learning.
Digital Twins, 3D Modeling & Personalized Surgery
Advancing precision surgery through digital twins, patient-specific 3D modeling, and intelligent computational technologies that support personalized surgical planning, clinical decision-making, procedural optimization, and improved patient outcomes.
Machine Learning for Surgical Risk Prediction & Outcomes
Exploring advanced machine learning methodologies for perioperative risk stratification, predictive analytics, complication forecasting, and personalized outcome prediction, enabling evidence-based clinical decision-making, enhanced surgical safety, and improved patient outcomes.
AI in Gynecologic & Pelvic Surgery
Exploring the application of artificial intelligence in gynecologic and pelvic surgery to enhance diagnostic precision, surgical planning, intraoperative decision-making, procedural efficiency, and personalized patient care.
AI in Pediatric & Fetal Surgery
Advancing AI-driven approaches in pediatric and fetal surgery through precision diagnostics, patient-specific surgical planning, predictive risk assessment, and intelligent intraoperative decision support to enhance procedural safety, clinical precision, and patient outcomes.
Browse the current session list for SurgiAI 2027: Artificial Intelligence, Robotic Surgery, Digital Health & Next-Generation Surgical Technologies
Submit your abstract
Mail your abstract to kynexaconference@gmail.com or submit it online using the form below.
- 15-16 April 2027
- San Francisco, California USA
For registration, abstract submission, speaker participation, or venue coordination, email our support team or submit your query through the online contact form.