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AI Task Force

Our AI Task Force Mission

Support, assist, and rally the nuclear-medicine community to translate the potential of data-driven solutions to improve healthcare.

Trustworthy AI : Show Clinical Value, Education, Develop and AI Ecosystem, Outreach

Task Force Organization

The SNMMI AI Task Force is composed of working groups for five core activities. Each working group interacts monthly to take steps to accomplish its core activity. In the monthly task force meeting, all task force members provide feedback, ideas, and suggestions to the working group.

Publications and Products

Artificial Intelligence Algorithms Need to Be Explainable—or Do They?

Journal of Nuclear Medicine June 2023, 64 (6) 976-977

Should End-to-End Deep Learning Replace Handcrafted Radiomics?

European Journal of Nuclear Medicine and Molecular Imaging (May 2025)

Journal of Nuclear Medicine October 2023, 64 (10) 1509-1515

Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

NMMItools

NMMI Tools is an up-to-date online reference website for software tools and shareable Artificial Intelligence (AI) models related to Nuclear Medicine and Molecular Imaging (NMMI) studies. 

AI at SNMMI Meetings

The 2026 SNMMI Annual Meeting will feature AI sessions, debates, and CE. Stay tuned for details.

SNMMI Annual Meeting

Highlights & Activities

If you’re interested in presenting your cutting-edge AI tools transforming nuclear medicine, molecular imaging, and theranostics, register here by May 13th.

Value of AI and Reimbursement

Working Group Leader: Munir Ghesani, MD, FACNM, FACR, FSNMMI

Motivation

AI applications in nuclear medicine are increasing rapidly but lagging reimbursement results in limited adoption in clinical practice.

Goal

Create a pathway for reimbursement of AI in NM.

Status

A working group with experts in diverse areas has been set up.

NMMI Data Models & Dissemination

Working Group Co-Leaders: Nikolaos (Nicolas) Karakatsanis, PhD, DABSNM and Tyler Bradshaw, PhD

Motivation

Data is a key element for AI efforts within nuclear medicine to be successful.

Goal

Develop a standardized data model and infrastructure to support multi-institutional data sharing.

Key Goals for 2026

  • Publish an initial version of the NMMI Lu177-PSMA Theranostics Data Model (April 2026)
  • Integrate the Lu177-PSMA data model to MIDRC dictionary and launch use-cases (July 2026)
  • Facilitate the open dissemination of shareable NMMI AI models and data (long-term)

SNMMI AI Certificate

Working Group Leader: Abhinav Jha, PhD

Motivation

Education needed across different specialties in our nuclear-medicine community for development of trustworthy and reliable AI.

Goal

Develop a certificate program for 3 tracks: physician in training; technologist; and scientist in training.

Key Goals for 2026

  • Short Term: Finalize the curriculum and start assigning lectures to specific speakers
  • Aim to finalize all lectures by March 2026
  • Advertise the program at the 2026 SNMMI Annual Meeting

Coming Soon! SNMMI AI Certificate Program

Artificial intelligence (AI) is showing strong promise in multiple aspects of nuclear medicine. SNMMI intends to realize this promise through rigorous validation, implementation, and clinical translation. This will require a workforce fluent in both AI and nuclear medicine.

Together, we will equip developers, physicians, and technologists with a well-rounded, cross-disciplinary understanding.

The SNMMI AI Certificate Program aims to address this critical workforce development gap in the nuclear medicine community.

Interactive Opportunities

Get Connected with SNMMI Connect

AI is rapidly reshaping Clinical Nuclear Oncology. This is your opportunity to help guide that evolution rather than simply react to it. Join the conversation. Contribute your voice. Help design the future of our industry.

Connect

AI Taskforce Membership

Abhinav Jha - Chair
Evren Asma
Bradley Beattie
Ronald Boellaard
Julia Brosch-Lenz
Irene Buvat
Steve Cho
Guido Davidzon
Joyita Dutta
Georges El Fakhri
Munir Ghesani
Kuang Gong
Atlas Haddadi Avval
Tyler Bradshaw – Vice Chair
Eric Hopler
Juncheng “Jason” Huang
Mario Jreige
Nicolas Karakatsanis
Kevin Leung
Quanzheng Li
Xiang Li
Zekun Li
Chi Liu
Zhonglin Lu
Arman Rahmim
Emilie Roncali
Ciprian Catana – Board Liaison
Babak Saboury
Jazmin Schwartz
Ahmad Shariftabrizi
Kuangyu Shi
Isaac Shiri
John Sunderland
Richard Wahl
Scott Wollenweber
Fereshteh Yousefirizi
Habib Zaidi
Sven Zuehlsdorff

Computational Nuclear Oncology

CNO Working Group

CNO Co-chairs: Arman Rahmim, PhD, DABSNM, and Babak Saboury, MD, MPH

CNO Publications

Image-Based Pharmacokinetic Modeling and Dosimetry

A Paradigm for Verification, Validation and Uncertainty Quantification in Computational Nuclear Oncology

CNO Initiatives

NucLex Ontology Working Group

Task Leaders: Tyler Bradshaw, PhD, and Julia Brosch-Lenz, PhD

Bone Marrow Dosimetry

Task Leaders: Sadaf Aghevlian, PhD, MSc., and Azadeh Akhavanallaf, PhD

Theranostic Data Anonymization Guideline

Task Leader: Carlos Uribe, PhD, MCCPM

IDRP: Ontology of RadioPharmaceuticals

Task Leader: Nouran Zaid, PhD

Predictive Modeling Via Data Sharing

Task Leaders: Zhonglin Lu , PhD, Azadeh Akhavanallaf, PhD

Through Predictive Modeling Via Data Sharing, nuclear medicine professionals within SNMMI have the opportunity to turn collective insight into clinical impact. By contributing to shared datasets and collaborative modeling efforts, members help unlock more accurate prognostics, smarter treatment planning, and stronger evidence to guide patient care.

CNO Membership

Arman Rahmim – co-chair
Greeshma Agasthya
Sadaf Aghevlian
Azadeh Akhavanallaf
Tyler Bradshaw
Julia Brosch-Lenz
Jacek Capala
Yuni Dewaraja
Joyita Dutta
George El Fakhri
Munir Ghesani
Stephen Graves
Babak Saboury – co-chair
Deni Hardiansyah
Abhinav Jha
Nikolaos (Nicolas) Karakatsanis
Dave Liu
Zekun Li
Zhonglin Lu
Helena McMeekin
Neeta Pandit-Taskar
Emilie Roncali
Jazmin Schwarz
Kuangyu Shi
Eileen Sneeden
Madjid Soltani
Lidia Strigari
John Sunderland
Carlos Uribe
Richard Wahl
Tahir Yusufaly
Nouran Zaid
Habib Zaidi
Fereshteh Yousefirizi