Ph.D. in Medical
Engineering, Massachusetts Institute of Technology, 2002
Electrical Engineering and Computer Science, Massachusetts Institute of
clinical training, Harvard Medical School/Harvard-MIT Division of Health
Sciences and Technology, 1987-1989
Behavioral Neuroscience, University of Pittsburgh, 1986
Electrical Engineering, University of Pittsburgh, 1985
Design and development of medical simulation
systems for healthcare training and performance measurement. Medical devices
and technologies including smart systems, sensors and information displays.
User-centric design, interaction design, augmented reality and hybrid reality
(mixed virtual and physical systems), autonomous and embedded systems.
Place Award, Technology Innovation, 12th International Meeting on
Simulation in Healthcare (IMSH 2012)
Intravenous Drug Recognition System for Medical Simulators Based on Direct
Fluid Identification,” J Samosky, B Mikulis, R Bregman and D Nelson.
Top Research Poster Presentation, Medicine Meets Virtual Reality (MMVR)
Vision’ for Healthcare Simulation: An Interactive Projective Overlay
System to Enhance Intubation Training and Other Procedural Training,” J
Samosky, E Baillargeon, R Bregman, A Brown, A Chaya, L Enders,
D Nelson, E
Robinson, A Sukits, and R Weaver.
in Excellence Award for Leadership and Innovation
HealthCare System/Massachusetts General Hospital
Division of Health Sciences and Technology
College of the Health Sciences, MIT
Hospital Summer Research Fellowship
and Harvard Medical School
Medical Scientist Training Program Fellowship
Outstanding Senior Award in Electrical Engineering
Samosky JT, Thornburg A, Karkhanis T, Petraglia F,
Strickler E, Nelson DA, Weaver RA and Robinson E. “Enhancing medical device
training with hybrid physical-virtual simulators: Smart peripherals for virtual
devices.” Studies in Health Technology and Informatics, 2013; 184:377-9.
Samosky JT. “View from the top: Simulation director
envisions greater use for training tool.” Biomedical Instrumentation and
Technology, 2012 Jul-Aug; 46(4):283-8.
Samosky JT, Nelson DA, Wang B, Bregman R, Hosmer A,
Mikulis B, Weaver R, “BodyExplorerAR: Enhancing a mannequin medical simulator
with sensing and projective augmented reality for exploring dynamic anatomy and
physiology.” Proceedings of the Sixth International Conference on Tangible,
Embedded and Embodied Interaction (TEI2012), pp. 263-270.
Samosky JT, Mikulis BT, Bregman R, Nelson DA, “A
novel automated drug simulant recognition system for naturalistic real-time
medical simulation.” Studies in Health Technology and Informatics,
Samosky JT, Wang B, Nelson DA, Bregman R, Hosmer A,
Weaver RA, “BodyWindows: Enhancing a mannequin with projective augmented
reality for exploring anatomy, physiology and medical procedures.” Studies in
Health Technology and Informatics, 2012;173:433-439.
Leeson CE, Weaver
RA, Bissell T, Hoyer R, McClain C, Nelson DA, Samosky JT, “PleurAlert:
An augmented chest drainage system with electronic sensing, automated alerts
and internet connectivity.” Studies in Health Technology and Informatics,
Nelson DA, Samosky
JT, “The tool positioning tutor: a target-pose tracking and display system
for learning correct placement of a medical device.” Studies in Health
Technology and Informatics, 2011;163:400-2.
Samosky JT, Allen P, Boronyak S, Branstetter B, Hein
S, Juhas M, Nelson DA, Orebaugh S, Pinto R, Smelko A, Thompson M, Weaver RA,
“Toward a comprehensive hybrid physical-virtual reality simulator of peripheral
anesthesia with ultrasound and neurostimulator guidance.” Studies in Health
Technology and Informatics, 2011;163:552-4.
O’Donnell JM, Zullo TG, DeVito Dabbs A, Kitutu S, Samosky JT, Hoffman
LA, “Critical thinking skills in nursing students: comparison of
simulation-based performance with metrics.” Journal of Advanced Nursing, 2010
Oct; 66(10): 2182-2193.
Samosky JT, Baillargeon E, Bregman R, Brown A, Chaya
A, Enders L, Nelson DA, Robinson E, Sukits AL, Weaver RA, “Real-time
"x-ray vision" for healthcare simulation: an interactive projective
overlay system to enhance intubation training and other procedural training.”
Studies in Health Technology and Informatics, 2011; 163:549-51.
Ford DG, Seybert
AL, Havrilla PL, Kobulinsky LR, Samosky JT, Kane-Gill SL, “Impact of
simulation-based learning on medication error rates in critically ill
patients,” Intensive Care Medicine, 2010 Sep; 36(9): 1526-31.
Samosky JT, Burstein D, Grimson WE, Howe R, Martin
S, Gray M, “Spatially-localized correlation of dGEMRIC-measured GAG
distribution and mechanical stiffness in the human tibial plateau,” Journal of
Orthopaedic Research, 2005 Jan; 23(1):93-101.
Gibson S, Fyock
C, Grimson E, Kanade T, Kikinis R, Lauer H, McKenzie N, Mor A, Nakajima S,
Ohkami H, Osborne R, Samosky J, Sawada A. “Volumetric object modeling
for surgical simulation,” Medical Image Analysis, 1998 Jun; 2(2): 93-101.
Gibson S, Samosky
J, Mor A, Fyock C, Grimson E, Kanade T, Kikinis R, Lauer H, McKenzie N,
Nakajima S, Ohkami H, Osborne R, and Sawada A, “Simulating arthroscopic knee
surgery using volumetric object representations, real-time volume rendering and
haptic feedback,” Computer Vision and Robotics in Medicine–Medical Robotics and
Computer Assisted Surgery (CVRMed-MRCAS) ‘97, Grenoble, France, March 1997,
eds. J. Troccaz, E. Grimson, and R. Mösges, Lecture Notes in Computer Science
1205, Springer, Berlin, pp. 369-378.
Sclabassi RJ, Samosky
J, Krieger DN, Solomon J, Levitan S, and Berger TW, “Modeling of neuronal
networks through decomposition,” IEEE International Joint Conference on Neural
Networks (IJCNN ’89), Washington, D.C., June 1989, Vol. 1, pp. 773-780.
"X-Ray Vision" for Healthcare Simulation. US 9,053,641 B2
Apparatus for Providing Realistic Medical Training. US 8,382,485 B2 (2013).