Presentations - Issam El Naqa


November 11, 2021
AAPM Medical Physics 3.0
Topic: What is the “intelligence” of Artificial Intelligence in radiation therapy?
Link to Conference: https://aapm.org/announcements/MedPhys30WebinarSeries.asp


 

November 17, 2021
DAISY 2021 Workshop at the University of Florida
Topic: Towards Trustworthy AI in Oncology
Link to Conference: https://epidemiology.phhp.ufl.edu/research/disl/daisy-2021/


February 4, 2022
RADAR Think Tank
Topic: Artificial Intelligence for Multi-omics Guided Radio-immunotherapy
Presentation Link: https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=fa6e8e8f-5ff1-4878-a991-ae5b0130527c


 

February 8, 2022
TROD
Topic: Basic principles and the future of mathematical modeling clinical radiobiology
Presentation Link: https://www.youtube.com/watch?v=TYd_r8Tx0Rc


 

February 11, 2022
UCSF Visiting Professor
No further information available.


 

February 11, 2022
AI in HealthCare
No further information available.


 

February 13 - February 17, 2022
ICRM 2022 Conference
Abstract:
1. Artificial Intelligence in Radiotherapy (25 minutes + 5 minutes Q&A)
2. Automation in Radiotherapy (25 minutes + 5 minutes Q&A)
Link to Conference: http://www.radmed.org/icrm2022.html


 

March 7, 2022
NCI Imaging and Informatics Webinar
Topic: AI/ML Trends in Oncology and the Rugged Path Towards the Clinic
Abstract: Artificial intelligence (AI) and Machine learning (ML) algorithms are currently transforming biomedical research, especially in the context of cancer research and clinical care. Despite the tremendous potentials in automating workflow, personalizing care, and reducing health disparity, to name a few prospects, their application in oncology and healthcare has been limited in scope with less than 5% of major healthcare providers implementing any form of AI/ML solutions. This can be attributed to multitude of concerning issues regarding the deployment of AI/ML driven technologies into the clinic. These concerns include but not limited to skepticism related to commercialization hype, under representative training data, inherent implementation bias, lack of robustness and absence of prediction transparency. In this work, we will discuss some of these impending challenges and highlight different approaches for detecting and mitigating such bias in implementing clinical AI/ML algorithms. We further show examples of applying these approaches in oncology applications from our work and others and discuss their implications to pave the way for AI/ML in clinical practice. 
Link to Conference: https://wiki.nci.nih.gov/display/NICC; https://datascience.cancer.gov/news-events/events/aiml-trends-oncology-and-rugged-path-towards-clinic
Presentation Link: https://wiki.nci.nih.gov/display/NICC


 

April 8 - April 9, 2022
Sun Nuclear Corp. - 2022 QA & Dosimetry Symposium #QADS13
Topic: An Overview of Hypofractionated Treatment Effects in the Clinic (HyTEC)
Link to Conference: https://www.qasymposium.com/; https://www.qasymposium.com/agenda/qads13; 
                                 https://form.jotform.com/212106172038949


 

April 28 - April 29, 2022
Frontiers of AI in Radiation Oncology and Medical Imaging - Stanford University
Topic: Outcome and AI Modeling
Abstract: This meeting brings together thought leaders in the fields of radiation therapy and medical imaging to discuss the frontiers of AI in industry, academia, and clinic. Utilizing lectures, poster presentations, and panel discussions, the meeting will provide a unique opportunity for trainees, physicists, physicians, and more to thoroughly explore the present and future of AI and its impact on research, clinical practice, and broader healthcare.
Link to Conference: https://w4.aapm.org/meetings/2022FAI/;  https://w4.aapm.org/meetings/2022FAI/programInfo/index.php
                                 https://w4.aapm.org/meetings/2022FAI/registrationInfo/meetingRegistration.php


 

May 4, 2022
Oncology Care and AI summit
No further information available.


 

May 4, 2022
USF - Data Science for Healthcare Providers
Topic: Tools Overview & Exemplars in Medical Journals
Abstract: This will include a high-level presentation of the curriculum and identification of data-based projects, as well as a quick overview of R/Python and a review of recent papers in top medical journals that use newer machine learning algorithms.
Link to Conference: https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ff77f86c-d046-40a7-aefb-aea600f83628&start=1544.751729
Presentation Link: https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ff77f86c-d046-40a7-aefb-aea600f83628&start=0


 

May 19 - May 21, 2022
AMPICON2021
Topic: Artificial Intelligence - An Emerging Trend in Medical Physics
Abstract: The 42nd Annual Conference of Association of Medical Physicists of India (AMPICON2021) will take place in Bangalore, Karnataka hosted by Healthcare Global Enterprises Ltd., in association with AMPI-Karnataka Chapter during 19th -21st May 2022. The theme of the conference is “Artificial Intelligence -An Emerging Trend in Medical Physics”. The conference deliberations will cover each and every aspect of applications of physics in medicine including current and future technologies in imaging science and Radiotherapy. About 700+ delegates including researchers, academicians, scholars, and students are expected to participate in person at the conference. Due to COVID-19 restrictions, the event was postponed twice, and now as all restrictions are relaxed, including international travel, more participants are expected to attend the event, including delegates from neighboring countries. We are requesting Dr. Issam El Naqa as our invited faculty to speak on the theme topic of the conference in-person (he has consented earlier for a video presentation due to travel restrictions). 
Link to Conference: https://ampicon2021.com/


 

June 9, 2022
AAPM Summer School
ICRU 91 & Radiation Biology
Radiation Biology of High Dose per Fraction
Link to Conference: https://w4.aapm.org/meetings/2022SS/index.php


 

June 16, 2022
"New Developments in Precision Radiation Oncology & Radiogenomics” 1st Inaugural Symposium - UCSD - San Diego
Link to Conference: https://www.ucsdmccindustryrelations.com/new-developments-in-precision-radiation-oncology-and-radiogenomics/; https://precisionradiationcologysymposium.eventbrite.com
 


 

June 24, 2022
Big Data Workshop
Topic: #AI for image-guided decision support
Link to Conference: https://aapmbdsc.azurewebsites.net/PBDW2022; https://medicine.umich.edu/dept/radonc/research/major-initiatives/big-data-analytics/practical-big-data-workshop/ai-machine-learning-methodologies


 

July 10, 2022 - July 14, 2022
AAPM 2022 64th Annual Meeting
Topic: Integrating Omics in the Era of AI for Better Patient Specific Outcomes
Link to Conference: 
https://protect-us.mimecast.com/s/naWSCKrAKquEGYYGFvQOyy?domain=w4.aapm.org
 *** Dr. Abe Oraqait also presented:In vivo Demonstration of 3D-Dosimetry and Radiation Beam Localization via Ionizing Radiation Acoustics Imaging (iRAI) in a Rabbit Model.


 

July 27, 2022
Bioengineering at Moffitt (BAM) Workshop
TopicIntelligent sensors for real-time guidance during radiotherapy


 

August 9, 2022 at noon EST
NTRO Lecture Series
Topic: 
Why Machine Learning in Oncology?
Presentation Link: https://moffitt.zoom.us/j/97521053389


 

August 11, 2022
FLASH at Moffitt Cancer Center - Dartmouth
Emerging Leaders Symposium & Workshop at the University of Wisconsin School of Medicine and Public Health
UW-Madison Department of Medical Physics
Presentation Link: https://protect-us.mimecast.com/s/rWVrCzpqVOI3OXNlTgPQkK?domain=dartmouth.zoom.ushttps://medphysics.wisc.edu/emerging-leaders-symposium-and-workshops/ 


 

 

August 19, 2022
4th European Congress of Medical Physics for ECMP 2022
Topic:  AI across Medical Physics: Benefits and Perils of AI in Medical Physics and AI across Medical Physics
Link to Conference: https://maastro.nl/; https://www.ecmp2022.org/


 

September 1 and September 2, 2022
Individual Response to Ionizing Radiation - Stockholm University and Karolinska Institute
Topic: Role of radiogenomics in the individualisation of tumour response - Individual Response to Ionizing Radiation
Link to Conference: http://www.crpr-su.se/irir/ 


 

October 7 and October 8, 2022
Joint DREAM (Dose Response, Experiment, Analysis, Modelling): 2022 Physics Workshop
5th ESTRO Physics Workshop Science in Development
Lisbon, Portugal
Link to Conferencehttps://www.estro.org/Workshops/2022-Physics-Workshop 


 

October 10, 2022
Ludwig Maximilian University of Munich, Department of Radiation Oncology
Topic: Intelligent Sensors for Real-time Guidance during Radiotherapy


 

October 11, 2022
Ludwig Maximilian University of Munich, Department of Radiation Oncology
Topic: Artificial Intelligence Modeling for Personalized Radiotherapy Outcomes


 

October 17, 2022
Munich Center for Quantum Science and Technology
Topic: Quantum machine learning: Lessons learnt from Application in Medical Physics and Radiation Oncology


 

October 20, 2022
Visiting Fellow CAS, Munich
Topic: Perils and Pitfalls of AI in Radiological Sciences


 

November 1, 2022
Seminar Series at Division of Radiation BioPhysics at Mass General Hospital
Topic: Outcome modeling on personalization of RT at one our upcoming seminar sessions


 

March 10, 2023
Fourth Comp Career Catalyst Seminar (C3)
Topic: Artificial Intelligence in Medical Physics: Preparing Trainees for the Future” How much do you know about AI in medical physics?


 

March 27 and March 28, 2023
2023 Annual Meeting of the National Council on Radiation Protection and Measurements (NCRP)
Topic: Integrating Physics, Biology and Epidemiology in Radiation Risk Assessment Session Entitled: Research Needs for Filling the Gaps
Abstract: Where are we going in the areas of epidemiology, biology (cancer and noncancer) and modeling needs for radiation risk assessment? Dr. El Naqa will be speaking on machine learning, artificial intelligence, etc. uses and future uses in radiation biology/oncology and particularly, if you feel comfortable doing so, related to risk assessment for radiation-induced adverse health outcomes relevant to radiation protection. 


 

 

April 25, 2023
Stony Brook University: 2023 Gloria and Mark Snyder Research Symposium: The AI and Tumor Evolution
Topic: Advances in Machine Learning for Medical Imaging and Response Modeling, Gloria and Mark Snyder Research Symposium: The AI and Tumor Evolution
Link to Conference: https://cancer.stonybrookmedicine.edu/CancerResearch/Events/Snyder2023


 

April 30, 2023
Virtual Seminar Series: The Community of Arabas Physicists in Medine
Topic: Artificial Intelligence in Diagnostic Physics


 

May 17, 2023 – May 19, 2023

2023 VISION - Texas Regional HIMSS Conference in Gaylord, Texas
Topic: Panel with Oracle (Osama Al-Saleh, Rebecca Winokur) and Nvidia (Mona Flores) on Powering Health Equity Through Data and Ethical AI.
Link to Conference: https://www.cvent.com/c/src/649a557c-3688-40be-8a8a-63516756a6d2/summary 


 


August 24, 2023
Henry Ford Health Cancer Research Grand Rounds
Topic: The Path Towards Equitable Artificial Intelligence in Oncology

Blurb: The presentation will discuss applications of AI in cancer care and research, its potential, challenges and how to overcome these issues, towards safer and beneficial implementation. 


 

September 8, 2023
AAPM RAMPS Symposium at NYC
Topic: Artificial Intelligence for Personalized Radiotherapy Outcomes
Link to Conference: https://chapter.aapm.org/ramps/RAMPS/Home.html


 

September 9, 2023
Weill Cornell Medicine Qatar
Topic: Artificial Intelligence – A Transformative Technology in Medical Physics
Link to Conference: https://wcmq.cloud-cme.com/course/courseoverview?P=5&EID=3359

 


 

September 22, 2023
UT Southwestern Medical Center – Dallas, Texas           
Link to Conference: https://wcmq.cloud-cme.com/course/courseoverview?P=5&EID=3359


 

September 30, 2023 – October 1, 2023
26th European Conference on Artificial Intelligence ECAI 2023
Topic: Towards Trustworthy AI for Clinical Oncology

Blurb: Artificial intelligence (AI)) and Machine learning (ML) algorithms are currently transforming
biomedical research, especially in the context of cancer research and clinical care. Despite the
anticipated potentials, their application in oncology and healthcare has been limited in scope with
less than 5% of major healthcare providers implementing any form of AI/ML solutions. This is
partly attributed to concerning issues that AI/ML driven technologies instead of reducing
healthcare disparities would exacerbate existing racial and gender equity due to inherent bias and
lack of prediction transparency. In this work, we will present different approaches for detecting
and mitigating such bias in AI/ML algorithms. We further show examples of implementing these
approaches in oncology applications from our work and others and discuss their implications for
the future of AI/ML.
Link to Conference: https://ecai2023.eu/


October 12, 2023 – October 13, 2023

Edward P. Evans Foundation MDS Research Summit 2023
Topic: Artificial Intelligence – A Transformative Technology in Medical Physics
Link to Conference: https://wcmq.cloud-cme.com/course/courseoverview?P=5&EID=3359


 

October 20, 2023 – October 21, 2023
2nd Internet of Things and Health International Conference (IoTHIC‐2023)                      
Topic: Artificial Intelligence – A Transformative Technology in Medical Physics
Link to Conference: https://iothic.com.tr


 

November 8, 2023 – November 10, 2023
Universidade de São Paulo
Topic: Artificial Intelligence – A Transformative Technology in Medical Physics


 

November 9, 2023 – November 11, 2023
Stanford Symposium On Ai & Emerging Technologies For Modern Radiation Oncology


 

March 5, 2024

The Society of Radiographers of South Africa 

Topic: The Impact and ethics of AI in radiographic imaging and radiotherapy 

More information: https://www.sorsa.org.za/

 


 

October 28-31, 2024

The 39th Annual ‘Critical Issues in the Tumor Microenvironment: Angiogenesis, Metastasis, and Immunology’ which will be held virtually from October 28th -31st 2024.

At this event, Dr. Issam El Naqa will be presenting on Thursday, October 31, 2024, at 4:00pm on the topic of “AI in Basic and Clinical Oncology.”

Please follow the link for more information: https://steelelabs.mgh.harvard.edu/tumorcourse