Samuel Luk, PhD
Assistant Professor, Radiation Oncology
Biography
Samuel Luk, Ph.D. is an Assistant Professor of Radiation Oncology at Chobanian and Avedisian School of Medicine, Boston, MA, USA and a Medical Physicist at the Department of Radiation Oncology at Boston Medical Center.
Sam received his Ph.D. from the University of Arizona under the supervision of Professor Rolf Binder and was a postdoctoral fellow at the University of Washington with Professor Alan Kalet. He completed his medical physics residency training at the University of Washington and is board certified at American Board of Radiology – Therapeutic Medical Physics.
Sam’s research focus is on using artificial intelligence (AI) and Bayesian approach to detect potential errors in radiation oncology to ensure a safe and efficient delivery of radiotherapy treatments to cancer patients. One of the projects he has worked on is a Bayesian network-based error detection (EDBN) model to detect potential erroneous treatment plan parameters in radiotherapy during physics plan review. The core concept of the EDBN project is to build an AI model to detect potential errors in radiotherapy treatment plans, which is rare but could lead to reduction of therapeutic effects and increase normal tissue toxicity. He is also interested in data science in health care and currently working on a collaborative project to compare radiation oncology clinical practices among clinics from different countries.
Sam has published 17 peer-reviewed original research and review articles in condensed matter and medical physics and has been invited to multiple conferences to discuss AI and quality assurance. He is a member of American Association of Physicists in Medicine (AAPM) and volunteering in the work group of prevention of error in radiation oncology and machine intelligence subcommittee. He is also a member of the American Society of Radiation Oncology.
Publications
- Published on 4/8/2024
Johnson PB, Schubert L, Kim GG, Faught J, Buckey C, Conroy L, Luk SMH, Schofield D, Parker S. AAPM WGPE report 394: Simulated error training for the physics plan and chart review. Med Phys. 2024 May; 51(5):3165-3172. PMID: 38588484.
Read at: PubMed - Published on 2/28/2023
Kalendralis P, Luk SMH, Canters R, Eyssen D, Vaniqui A, Wolfs C, Murrer L, van Elmpt W, Kalet AM, Dekker A, van Soest J, Fijten R, Zegers CML, Bermejo I. Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study. Front Oncol. 2023; 13:1099994. PMID: 36925935.
Read at: PubMed - Published on 2/10/2022
Glenn MC, Wallner K, Luk SMH, Ermoian R, Tseng YD, Phillips M, Kim M. Impact of lung block shape on cardiac dose for total body irradiation. Phys Imaging Radiat Oncol. 2022 Jan; 21:30-34. PMID: 35243029.
Read at: PubMed - Published on 2/1/2022
Petros Kalendralis , Denis Eyssen, Richard Canters, Samuel M. H. Luk ,AlanM.Kalet,Wouter vanElmpt, Rianne Fijten, Andre Dekker, Catharina M. L. Zegers, and Inigo Bermejo. External Validation of a Bayesian Network for Error Detection in Radiotherapy Plans. IEEE Transactions on Radiation and Plasma Medical Sciences. 2022; 6(2):200.
- Published on 1/5/2022
Luk SMH, Wallner K, Glenn MC, Ermoian R, Phillips MH, Tseng YD, Kim M. Effect of total body irradiation lung block parameters on lung doses using three-dimensional dosimetry. J Appl Clin Med Phys. 2022 Apr; 23(4):e13513. PMID: 34985180.
Read at: PubMed - Published on 12/7/2021
Luk SMH, Ford EC, Phillips MH, Kalet AM. Improving the Quality of Care in Radiation Oncology using Artificial Intelligence. Clin Oncol (R Coll Radiol). 2022 Feb; 34(2):89-98. PMID: 34887152.
Read at: PubMed - Published on 4/2/2020
Phillips MH, Serra LM, Dekker A, Ghosh P, Luk SMH, Kalet A, Mayo C. Ontologies in radiation oncology. Phys Med. 2020 Apr; 72:103-113. PMID: 32247963.
Read at: PubMed - Published on 4/15/2019
Luk SMH, Meyer J, Young LA, Cao N, Ford EC, Phillips MH, Kalet AM. Characterization of a Bayesian network-based radiotherapy plan verification model. Med Phys. 2019 May; 46(5):2006-2014. PMID: 30927253.
Read at: PubMed - Published on 3/4/2019
Kalet AM, Luk SMH, Phillips MH. Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning. Med Phys. 2020 Jun; 47(5):e168-e177. PMID: 30768796.
Read at: PubMed - Published on 12/11/2017
Lewandowski P, Luk SMH, Chan CKP, Leung PT, Kwong NH, Binder R, Schumacher S. Directional optical switching and transistor functionality using optical parametric oscillation in a spinor polariton fluid. Opt Express. 2017 Dec 11; 25(25):31056-31063. PMID: 29245784.
Read at: PubMed
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