From the 1 of 7 linked papers with an AI index.
7 papers
Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing
Arman Rahmim, Nourhan Bayasi, Xiaoxiao Li +2
The paper argues that the limited clinical impact of AI in medical imaging stems from a misalignment between how AI systems are built and evaluated and how clinicians make decision…
Virtual Theranostic Trials: New Approach Methodologies (NAMs) and Precision Radiopharmaceutical Therapies
Carlos F. Uribe, Hamid Abdollahi, Tahir Yusufaly +7
Radiopharmaceutical therapies are expanding rapidly, but clinical evidence generation is limited by operational constraints and biological heterogeneity in radiopharmaceutical deli…
Towards Integrated Clinical-Computational Nuclear Medicine
Faraz Farhadi, Shadi A. Esfahani, Fereshteh Yousefirizi +7
The field of Clinical-Computational Nuclear Medicine is rapidly advancing, fueled by AI, tracer kinetic modeling, radiomics, and integrated informatics. These technologies improve…
Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024)
Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon +10
The 2nd SNMMI Artificial Intelligence (AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29 - March 1, 2024. Bringing together various commu…
Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins
Marc Ryhiner, Yangmeihui Song, Babak Saboury +3
This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…
An Overview of Physiologically Based Pharmacokinetic (PBPK) and Population Pharmacokinetic (PopPK) Models
Deni Hardiansyah, Bisma Baron Patrianesha, Kuangyu Shi +3
This review discusses the current applications, advantages, and limitations of PBPK and PopPK models in radiopharmaceutical therapy (RPT). PBPK models simulate radiopharmaceutical…