Joint ICTP-IAEA Workshop on Artificial Intelligence in Ionizing Radiation for Medical Physicists

Administration

Description

An ICTP-IAEA Meeting in person

The workshop is designed for medical physicists having interest in expanding their knowledge and skills to implement AI-based tools. It will provide a contemporary overview of the field and introduce to medical physicists theoretical principles which are considered fundamental for a safe and conscious implementation of AI-based technologies in radiation medicine.

This comprehensive workshop will provide participants with a theoretical foundation in the most important research and technological development areas of AI-based tools in radiation medicine. The workshop with introduce to medical physicists examples of AI-based tools in radiation medicine practice and relevant theoretical foundations, and will discuss technical, ethical, and legal challenges associated with clinical implementation of AI-based tools that should be carefully considered to ensure that quality of patient care and patient safety are not compromised. Given the roles and responsibilities of medical physicists in the technical supervision of radiation medicine equipment, it is imperative to contextualize and extend these responsibilities to the implementation, risk mitigation, and quality assurance of AI-based tools in radiation medicine. This workshop will introduce to medical physicists the theoretical knowledge and skills necessary to implement AI-based tools safely and securely, emphasizing the need for continued education and training in this emerging field.

Topics:

The Workshop is aimed at providing medical physicist with relevant knowledge to support departments in deploying and using AI based tools, including:

General overview of the field:
- Insight into current AI-based tools in radiation medicine
- Roles and responsibilities of clinically qualified medical physicists in AI-based clinical applications
- Requirements for education and training
- Implementation considerations, risks, and quality assurance
Theoretical principles of AI from the user’s perspective:
- Neural networks
- Machine learning
- Deep learning
- Data management
Hands-on training

Prerequisites:

The target audience are early and mid-career clinically qualified medical physicists (CQMPs, as per IAEA Publication Human Health Series No. 25) from United Nations, UNESCO or IAEA Member States holding a postgraduate-level university degree in medical physics and working in hospitals in either in radiotherapy, nuclear medicine or diagnostic radiology. Although the workshop is not intended for developers of AI-based tools, basic computational programming, data management and fundamental statistics skills are considered as assets.

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.

Material

Final list of Participants Group photo Poster Programme

Joint ICTP-IAEA Workshop on Artificial Intelligence in Ionizing Radiation for Medical Physicists | (smr 3895)

Go to day

Monday, 20 November 2023

09:00 - 17:00

09:00 Welcome and introduction of participants 45'

Mauro CARRARA (IAEA, Austria) - online

Speaker:

Renato PADOVANI (ICTP, Italy), Olivera CIRAJ-BJELAC (IAEA, Austria), Egor TITOVICH (IAEA, Austria), Mauro CARRARA (IAEA, Austria)

09:45 Pre course test 45'
10:30 Coffee break 30'
11:00 Introduction to AI, historical background, vocabulary and definition of terms related to AI 45'

Speaker: John Damilakis (University of Crete and University Hospital of Heraklion, Greece)
11:45 Roles and Responsibilities of Medical Physicists in AI-based Clinical Applications 45'

Speaker: Andre Dekker (Maastricht University Medical Center and Maastro Clinic, The Netherlands)
12:30 Lunch break 1h0'
13:30 Overview of radiation therapy procedures utilizing AI (or may potentially benefit from) 45'

Speaker: Jackie Wu (Duke University Medical Center, USA)
14:15 Overview of diagnostic radiology and nuclear medicine procedures utilizing AI (or may potentially benefit from) 45'

Speaker: John Damilakis (University of Crete and University Hospital of Heraklion, Greece)
15:00 Coffee break 30'
15:30 Advanced statistical Methods: regression for predictive modelling and classification, co-variance, corelation, ROC analysis 45'

Speaker: Serafina Di Gioia (ICTP, Italy)
16:15 Advanced statistical Methods: cont’d (+ Q and A) 45'

Speaker: Serafina Di Gioia (ICTP, Italy)

18:00 - 19:00 Welcome Reception

Location: Cafeteria - Adriatico Guest House

Tuesday, 21 November 2023
- 09:00 - 17:00
  - 09:00 Data management: data collection and quality assessment 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
  - 09:45 Data management: Data curation 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
  - 10:30 Group photo & Coffee break 30'
  - 11:00 Machine learning models and data analytics tools 1h30'
    
    Speaker: Andre Dekker (Maastricht University Medical Center and Maastro Clinic, The Netherlands)
  - 12:30 Lunch break 1h0'
  - 13:30 Machine learning models and data analytics tools 1h30'
    
    Speaker: Andre Dekker (Maastricht University Medical Center and Maastro Clinic, The Netherlands)
  - 15:00 Coffee break 30'
  - 15:30 Training of machine learning models 45'
    
    Speaker: Andre Dekker (Maastricht University Medical Center and Maastro Clinic, The Netherlands)
  - 16:15 Validation of machine learning models 45'
    
    Speaker: Andre Dekker (Maastricht University Medical Center and Maastro Clinic, The Netherlands)
Wednesday, 22 November 2023
- 09:00 - 17:00
  - 09:00 Group 1: ML Regression + Classification using Google Colab + Python 1h30' ( Informatics Laboratories )
  - 09:00 Group 2: Decision Trees, testing, splitting, evaluation vs. Conf. Matrices, etc 1h30' ( Informatics Laboratories )
  - 10:30 Coffee break 30'
  - 11:00 Group 1: Decision Trees, testing, splitting, evaluation vs. Conf. Matrices, etc 1h30' ( Informatics Laboratories )
  - 11:00 Group 2: ML Regression + Classification using Google Colab + Python 1h30' ( Informatics Laboratories )
  - 12:30 Lunch break 1h0'
  - 13:30 Introduction to deep learning 1h30'
    
    Speaker: Serafina Di Gioia (ICTP, Italy)
  - 15:00 Coffee break 30'
  - 15:30 Deep learning: transformer networks, GANs, transfer learning, augmentation, metrics of evaluation 1h30'
    
    Speaker: Serafina Di Gioia (ICTP, Italy)
Thursday, 23 November 2023
- 09:00 - 17:00
  - 09:00 Group 1: DL CNN vs. GAN. Colab + Python 1h30' ( Informatics Laboratories )
  - 09:00 Group 2: Demo: Real example of auto TP AI-based tool 1h30' ( Informatics Laboratories )
  - 10:30 Coffee break 30'
  - 11:00 Group 1: Demo: Real example of auto TP AI-based tool 1h30' ( Informatics Laboratories )
  - 11:00 Group 2: DL CNN vs. GAN. Colab + Python 1h30' ( Informatics Laboratories )
  - 12:30 Lunch break 1h0'
  - 13:30 Practical's Q and A TBC 45'
  - 14:15 IAEA support to medical physics and AI related activities 45'
    
    Speaker: Olivera CIRAJ-BJELAC (IAEA, Austria), Egor TITOVICH (IAEA, Austria)
  - 15:00 Coffee break 30'
  - 15:30 Regulatory considerations on AI for radiation medicine 45'
    
    Speaker: John Damilakis (University of Crete and University Hospital of Heraklion, Greece)
  - 16:15 Basic requirements and IT infrastructure for AI application in radiation medicine + Q and A 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
Friday, 24 November 2023
- 09:00 - 16:15
  - 09:00 Clinical implementation of AI tools: process from medical physicist’s perspective 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
  - 09:45 Challenges and pitfalls of AI in radiation medicine 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
  - 10:30 Coffee break 30'
  - 11:00 AI in radiation medicine: Regulatory and ethical considerations 45'
    
    Speaker: John Damilakis (University of Crete and University Hospital of Heraklion, Greece)
  - 11:45 AI and MC simulations in medical physics. Virtual clinical trials 45'
    
    Speaker: Jackie Wu (Duke University Medical Center, USA)
  - 12:30 Lunch break 1h0'
  - 13:30 Discussion and Q&A 45'
  - 14:15 Workshop evaluation and post course test 45'
  - 15:00 Coffee break 30'
  - 15:30 Workshop closure 45'