AI and robotics in surgery

Link al trailer del corso: https://www.edvance.it/
Target: studentesse e studenti di CdS magistrali
Lingua: eng
Il corso appartiene ad una serie?: No
Breve Descrizione:

This course explores the transformative role of Artificial Intelligence (AI) and robotic systems in modern surgical practice. Designed for healthcare students and professionals, it provides a multidisciplinary overview of surgical robotics, machine learning applications, and clinical decision support systems.

Through real-world case studies, and expert insights, learners will gain a critical understanding of how AI and robotics enhance precision, safety, and efficiency in surgical environments. Participants will also reflect on ethical, legal, and technical implications, and will be equipped to assess and apply innovative solutions in their professional contexts.

By the end of the course, learners will be able to analyze, evaluate, and simulate scenarios involving AI-augmented surgical interventions.
Informazioni Base:

Module 1: Introduction to AI and Robotics in Healthcare
Goal: Provide foundational knowledge of AI and robotics as applied to the surgical field.

Subtopics:

  • Overview of AI and Machine Learning in Medicine
  • Key Terminologies and Concepts (ML, DL, Computer Vision, NLP)
  • History and Evolution of Surgical Robotics
  • Regulatory and Ethical Frameworks in AI and Robotics

Module 2: AI Technologies in Surgical Planning and Decision Support
Goal: Explore how AI enhances preoperative and intraoperative decision-making.

Subtopics:

  • AI for Preoperative Diagnostics and Risk Assessment
  • Predictive Modeling and Patient Stratification
  • Surgical Navigation and Image-Guided Systems
  • AI in Clinical Decision Support Systems (e.g., real-time alerts, complication prediction)

Module 3: Robotic Surgery Systems and Platforms
Goal: Understand the design, functionality, and applications of modern robotic surgical systems.
Subtopics:

  • Overview of Robotic Platforms (e.g., da Vinci, Versius, Hugo)
  • Haptics, Teleoperation, and Dexterity Enhancement
  • Integration with Imaging and Navigation Tools
  • Comparison of Robotic vs. Conventional Surgery

Module 4: Computer Vision and Augmented Reality in Surgery

Goal: Examine how visual computing technologies are transforming intraoperative practices
Subtopics:

  • Image Segmentation and Organ Recognition
  • Real-Time Surgical Video Analysis
  • Augmented and Virtual Reality in the Operating Room
  • AI-Driven Instrument Tracking and Scene Understanding

Module 5: Data, Learning, and Outcomes
Goal: Focus on how AI leverages surgical data for learning and continuous improvement.
Subtopics:

  • Sources and Management of Surgical Data (EHRs, Video, IoT)
  • Training AI with Surgical Videos: Annotation and Labeling
  • Outcome Prediction and Performance Metrics
  • Continuous Learning Systems and Adaptive AI

Module 6: Future Directions and Innovation in AI-Driven Surgery

Goal: Discuss trends, challenges, and emerging innovations in the field.

Subtopics:

  • Autonomous Surgical Systems and AI Co-Pilots
  • Human-AI Collaboration and Trust in the OR
  • Emerging Trends: Nanorobotics, Smart Implants, and AI-Driven Biopsy
  • Policy, Global Access, and the Future of Surgical Education
Risultati Attesi:
  • Define key terminology related to artificial intelligence, machine learning, and robotic-assisted surgery
  • Describe the core principles and functions of surgical robotic systems and AI-driven clinical decision support tools
  • Explain how AI is integrated into surgical planning, navigation, and outcome prediction
  • Interpret data from AI systems in simulated clinical scenarios.
  • Apply basic principles of surgical robotics to identify appropriate use cases in different specialties
  • Compare traditional and AI-assisted surgical workflows, identifying strengths and limitations of each
  • Analyze real-world case studies where AI and robotics have impacted surgical outcomes
  • Critically assess the ethical, legal, and clinical implications of adopting AI and robotics in surgery
  • Evaluate the safety and reliability of AI tools in the context of patient care and surgical decision-making
  • Design a hypothetical surgical scenario incorporating AI or robotic systems to address a specific clinical challenge
  • Propose improvements or innovations in current AI-augmented surgical workflows
Strategia di valutazione:

Passing the final quiz
Prerequisiti:

No prerequisites
Livello EQF: EQF Level 5
ISCED-F: 0912 Medicine
Categoria: Salute e Medicina
SDGs: GOOD HEALTH AND WELLBEING
Docenti:

Sabrina DeCillis

Matteo Manfredi
Carico Lavoro Totale (in ore/settimana): 6
Numero settimane del corso: 1
Contatti:

Per domande o problematiche tecniche relative al corso e alla piattaforma contattare:
edvancedeh@unito.it

Contatto del docente del MOOC:
m.manfredi@unito.it
sabrinatitti.decillis@unito.it