Poster No. |
First Name |
Last Name |
Institution |
Abstract Title |
Track |
Primary System/Area of Interest |
3 |
Johnathan |
Adams |
Worcester Polytechnic Inst. |
Potential of Osteoporosis Detection with a Microwave Wrist Tester |
Artificial intelligence and machine learning in medical devices |
Orthopedic |
2 |
Gavin |
Jones |
SmartUQ |
Uncertainty Quantification of a Microwave Ablation Simulation with Spatial and Transient Responses |
Artificial intelligence and machine learning in medical devices |
Other |
5 |
Kimia |
Kashkooli |
University of Maine, Orono |
A Novel Non-Destructive Microcapillary Viscometer for Point-of-Care Testing |
Artificial intelligence and machine learning in medical devices |
Other |
6 |
Hoo Sang |
Ko |
Southern Illinois University Edwardsville |
Feature Selection and Classification Models for Endotracheal Intubation Training Devices |
Artificial intelligence and machine learning in medical devices |
Surgical |
7 |
Christopher |
Scully |
US Food and Drug Administration |
Modeling Electrocardiogram Beats with Generative Adversarial Networks |
Artificial intelligence and machine learning in medical devices |
Cardiovascular |
1 |
Wonju |
Seo |
POSTECH |
An ensemble approach for accurately predicting hypoglycemia |
Artificial intelligence and machine learning in medical devices |
Other |
4 |
Jason |
Wilkowski |
Rowan University |
Classification of Lung Tumor Grade in CT Images Using Random Forest |
Artificial intelligence and machine learning in medical devices |
Respiratory |
16 |
Micol |
Colella |
Sapienza, Università di Roma |
RF-Exposure Conditions vs. Induced Heating with Interventional Catheters: A Computational Study |
Assessing credibility of models |
Other |
8 |
Brent |
Craven |
U.S. Food and Drug Administration |
Initiating a Medical Device Clinical Trial Using Modeling and Simulation |
Assessing credibility of models |
Cardiovascular |
11 |
Mehul |
Dharia |
Zimmer Biomet |
Model Validation of Tibial Tray Strength in Total Knee Arthroplasty per ASME V&V40-2018 |
Assessing credibility of models |
Orthopedic |
10 |
Ismail |
Guler |
Boston Scientific Corporation |
Application of Calculation Verification Best Practices to Computational Modeling of Medical Devices |
Assessing credibility of models |
Cardiovascular |
23 |
Prasanna |
Hariharan |
US FDA |
Characterization of the flow field in the FDA blood pump model using Particle Image Velocimetry (PIV) |
Assessing credibility of models |
Cardiovascular |
19 |
Marc |
Horner |
ANSYS/MDIC |
MDIC Blood Damage Working Group Report: Experimental Measurement and Computational Modeling of Mechanical Blood Damage |
Assessing credibility of models |
Cardiovascular |
22 |
Marc |
Horner |
ANSYS, Inc. |
Model-Based Engineering to Analyze the Reliability of an Infusion Pump Design |
Assessing credibility of models |
Other |
13 |
Ebrahim |
Kolahdouz |
U.S. Food and Drug Administration |
Verification and Validation of an Immersed Interface Method for Fluid-Structure Interaction Modeling of Flexible Blood Clots to Predict the Performance of Inferior Vena Cava Filters |
Assessing credibility of models |
Cardiovascular |
12 |
Brandon |
Kovarovic |
Stony Brook University |
TAVR Valve Testing – Evolving From Idealized Models to Patient-Specific Replicas |
Assessing credibility of models |
Cardiovascular |
18 |
Bryn |
Lloyd |
IT'IS Foundation |
Next Generation Anatomical Human Models and Thermal Application of Their Detailed Vasculature |
Assessing credibility of models |
Other |
14 |
Elena |
Lucano |
InSilicoTrials Technologies |
InSilicoMRI: Automated Computational Tool to Study MRI RF Safety of Medical Devices |
Assessing credibility of models |
Other |
15 |
Elena |
Lucano |
InSilicoTrials Technologies |
Characterization of the Transfer Function of a Pacemaker Lead by Combining Experimental and Numerical Data |
Assessing credibility of models |
Cardiovascular |
21 |
Garrett |
Lundegard |
University of Maryland |
Low Frequency Magnetic Steering Helmet for Deep Brain Pathologies |
Assessing credibility of models |
Neurological |
20 |
Srinidhi |
Nagaraja |
G. Rau Inc. |
Hierarchical Validation of Interlaboratory Simulations of Compression-Bending Testing of Spinal Rods |
Assessing credibility of models |
Orthopedic |
9 |
Vivek |
Palepu |
U.S. Food and Drug Administration |
Predicting Lumbar Interbody Fusion Cage Subsidence Force Using a Patient-Specific Finite Element Vertebral Body Model |
Assessing credibility of models |
Orthopedic |
17 |
Tayeb |
Zaidi |
U.S. Food and Drug Administration |
On the effect of air bubbles in gel on RF-induced heating using the ASTM phantom F2182 |
Assessing credibility of models |
Other |
40 |
Azhar |
Ali |
Stryker |
An Experimental and Computational Approach for Evaluation of In-Vivo Knee Mechanics |
Clinically relevant models |
Orthopedic |
35 |
Mohammad |
Beygi |
University of South Florida |
Numerical Modeling of an MRI Compatible SiC Neural Interface |
Clinically relevant models |
Neurological |
38 |
Varun |
Bhatia |
Medtronic, PLC |
Quantifying Anatomical Variation to Optimize Catheter Design for His Bundle Pacing |
Clinically relevant models |
Cardiovascular |
46 |
Giorgio |
Bonmassar |
Harvard Medical School |
Feasibility studies of Micro-TMS in Neurostimulation. |
Clinically relevant models |
Neurological |
43 |
Scotty |
Chung |
Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences |
Quantitative Evaluation of 3D Printed Models for Craniofacial Reconstructive Surgery |
Clinically relevant models |
Surgical |
31 |
John |
Clemmer |
University of Mississippi Medical Center |
In silico trial of baroreflex activation therapy for the treatment of resistant hypertension |
Clinically relevant models |
Cardiovascular |
36 |
Julien |
Deckx |
Materialise |
Using Statistical Shape Modeling to Create Generalized Anatomical Shapes for Computational Modeling |
Clinically relevant models |
Cardiovascular |
45 |
Vlad |
Dobrin |
University of Maryland |
Towards The Functionalization of MIDA: Computational Modeling of Basal Ganglia Indirect Pathway |
Clinically relevant models |
Neurological |
28 |
Tara |
Johnson |
University of Arkansas for Medical Sciences |
Designing a Novel Spill-proof Cup for Individuals with Cerebral Palsy |
Clinically relevant models |
Neurological |
33 |
Trung |
Le |
North Dakota State University |
Energetics of left ventricular blood flows: in-vivo and computational studies |
Clinically relevant models |
Cardiovascular |
27 |
Jiho |
Lee |
Pohang University of Science and Technology (POSTECH) |
tDCS Electrode Positioning Strategy with Simulation |
Clinically relevant models |
Neurological |
25 |
Sergey |
Makarov |
WPI/AA Martinos Ctr, MGH |
Modeling Transcranial Electric Stimulation with Boundary Element Fast Multipole Method |
Clinically relevant models |
Neurological |
44 |
Sergey |
Makarov |
WPI/AA Martinos Ctr, MGH |
Collection of Sixteen High-Quality Human Head CAD Models Generated with SimNIBS 2.1 Using Connectome Subject Data within MATLAB Platform |
Clinically relevant models |
Neurological |
37 |
Prem |
Midha |
prem.midha@gmail.com |
Systolic and Diastolic Geometry of the Aortic Root Before and After TAVR |
Clinically relevant models |
Cardiovascular |
41 |
Sarah |
Minucci |
Virginia Commonwealth University |
Non-invasive venous waveform analysis (NIVA)—discovery, mathematical model, and clinical significance |
Clinically relevant models |
Cardiovascular |
39 |
Esra |
Neufeld |
IT'IS Foundation |
o2S2PARC: Open Online Simulations for Stimulating Peripheral Activity to Relieve Conditions – A Functionalized Anatomical Model Centered Paradigm for Collaborative Computational Life Sciences |
Clinically relevant models |
Neurological |
29 |
Michael |
Perez |
Virginia Commonwealth University |
Influence of Stance Position when Evaluating Lisfranc Injuries in Radiographs |
Clinically relevant models |
Orthopedic |
42 |
Owen |
Richfield |
Tulane University |
Glomerular Capillary Hypertrophy in the Diabetic Rat Normalizes Wall Shear Stress: A Modeling Study |
Clinically relevant models |
Other |
26 |
Jiang |
Yao |
Dassault Systemes |
Predicting Cardiac Function Due to Change in Heart Rate Using the Living Heart Human Model |
Clinically relevant models |
Cardiovascular |
34 |
Alireza |
Yazdani |
Brown University |
Predictive Probabilistic Modeling of Coronary Artery Disease |
Clinically relevant models |
Cardiovascular |
32 |
Victoria |
Yuan |
Stanford University |
Analyzing Hemodynamic Markers of Thrombogenesis in the Berlin Heart EXCOR |
Clinically relevant models |
Cardiovascular |
30 |
Min |
Yun |
Exponent, Inc. |
The Living Heart: A Clinically Relevant Fluid-Structural Model to Evaluate Medical Devices |
Clinically relevant models |
Cardiovascular |
24 |
KAI |
ZHAO |
The Ohio State University |
A Prototype Endoscopic Sinus Surgery Simulator to Optimize Surgical Outcomes |
Clinically relevant models |
Surgical |
49 |
Matteo |
Bianchi |
Stony Brook University |
Patient-Specific Computational Approach for Enhancing TAVR Pre-Procedural Planning |
Digital twins in healthcare |
Cardiovascular |
58 |
Shady |
Elmasry |
Hospital for Special Surgery |
A New Geometric Ratio to Predict the Flexion Gap in Total Knee Arthroplasty: A Computational Study |
Digital Twins in Healthcare |
Orthopedic |
60 |
Yu |
Feng |
Oklahoma State University |
Predicting Transport and Deposition of Inhaled Microparticles in an Elastic Lung Model |
Digital twins in healthcare |
Respiratory |
50 |
ANDREW |
FRASER |
UCLA School of dentistry- Section of Orthodontics |
Evaluation of Airway After Maxillary Skeletal Expansion in Adults Via Computational Fluid Dynamics |
Digital Twins in Healthcare |
Respiratory |
61 |
Kerim |
Genc |
Synopsys Inc. |
3D Image Based Inspection and Finite Element Simulation of an Additive Manufactured Spinal Implant |
Digital Twins in Healthcare |
Orthopedic |
54 |
Aaron |
Godfrey |
Siemens PLM Software |
3-D CFD Optimization of a Hemodialysis Catheter |
Digital twins in healthcare |
Cardiovascular |
51 |
Weiyong |
Gu |
University of Miami |
Simulation and Prediction of Human Intervertebral Disc Degeneration and Repair |
Digital Twins in Healthcare |
Orthopedic |
62 |
Ahmadreza |
Haghnegahdar |
Oklahoma State University |
Predicting the Influenza Virus Laden Droplets Transport, Deposition, and Associated Immune System Responses in Lung by a Multiscale CFPD-HCD Model |
Digital twins in healthcare |
Respiratory |
48 |
Carl |
Imhauser |
Hospital for Special Surgery |
Digital Twins for Personalized Knee Reconstruction |
Digital twins in healthcare |
Orthopedic |
55 |
Janell |
Joyner |
U.S. Food and Drug Administration |
Comparison of Task Performance in Virtual Reality and Real-World Environments |
Digital twins in healthcare |
Other |
52 |
Erica |
Neumann |
Cleveland Clinic |
Bipolar Radiofrequency Ablation of the Brain Using a Virtual Patient Population |
Digital twins in healthcare |
Neurological |
56 |
Fernando |
Quevedo-Gonzalez |
Hospital for Special Surgery |
Implant Design Optimization Applied to the Carpometacarpal Joint of the Thumb |
Digital Twins in Healthcare |
Orthopedic |
59 |
Farhad |
Rikhtegar Nezami |
MIT |
Numerical Study of Organs Perfusion in Aortic Dissection Patients with Multilayer Flow Modulators |
Digital twins in healthcare |
Cardiovascular |
53 |
Charlotte |
Sapaly |
Rodin SAS |
In-silico evaluation of 3D printed orthosis for the treatment of positional skull deformities |
Digital Twins in Healthcare |
Orthopedic |
47 |
Dhruv |
Seshadri |
Case Western Reserve University |
Extracting and Assessing Data from Wearables to Inform and Improve Outcomes for Sports Medicine |
Digital twins in healthcare |
Cardiovascular |
57 |
Xiaotian |
Wu |
Thayer School of Engineering at Dartmouth College |
Modeling Deformation Dynamics during Trans-oral Surgery |
Digital Twins in Healthcare |
Surgical |
65 |
Emre |
Araci |
Santa Clara University |
Microfluidic biosensors with intrinsic low-pass filters provide improved signal-to-noise ratio in wearable devices |
Real world data as model input |
Other |
74 |
Henry |
Chen |
California Medical Innovations Institute |
Hemodynamics of Venous Valve Pairing and Implications on Helical Flow |
Real world data as model input |
Cardiovascular |
75 |
Henry |
Chen |
California Medical Innovations Institute |
Impact of Stent Mis-sizing and Mis-positioning on Fluid Wall Shear and Intramural Stress |
Real world data as model input |
Cardiovascular |
67 |
Rachel |
Clipp |
Kitware, Inc |
Simulation of Asthma Attack and Inhaler Actuation using the Pulse Physiology Engine |
Real world data as model input |
Respiratory |
66 |
Sarah |
Gabriel |
BD |
Vessel Diameter and Systolic Blood Velocity in Swine Peripheral Blood Vessels: Data For In-Silico Model Development and Quantitative Comparisons with Human Blood Vessels |
Real world data as model input |
Cardiovascular |
72 |
Chaudhry |
Hassan |
Stony Brook University |
Nucleus pulposus fluid pressure decreases after the degenerative loss of incompressibility and area |
Real world data as model input |
Orthopedic |
73 |
Ming-Chen |
Hsu |
Iowa State University |
Fluid-Structure Interaction Modeling and Analysis of Transcatheter Heart Valves |
Real world data as model input |
Cardiovascular |
76 |
Hamidreza |
Jahandar |
Hospital for Special Surgery |
Identifying Mechanisms of Anterior Cruciate Ligament Injury Using Real World Model Inputs |
Real world data as model input |
Orthopedic |
70 |
Hedyeh |
Javaheri |
University of Maryland College Park |
Image coregistration of diffusion tensor imaging and structural MRI data of the MIDA model |
Real world data as model input |
Neurological |
68 |
Amir |
Khalighi |
The University of Texas at Austin |
Patient-specific predictions of Mitral valve closure following annuloplasty repair surgery |
Real world data as model input |
Cardiovascular |
71 |
Gregory |
Lewis |
Penn State Hershey College of Medicine |
Finite Element Analysis of IM Nail Femur Fracture Fixation for Surgical Decision Support |
Real world data as model input |
Orthopedic |
69 |
Samuel |
Potter |
The University of Texas at Austin |
In-vivo Patient-Specific Deformation of the Normal and Bicuspid Heart Valve |
Real world data as model input |
Cardiovascular |
64 |
Aseem Milind |
Pradhan |
Clemson University |
Systematic Review and Meta-Analysis of the Effect of Age and Body Size on Left Ventricular Volume |
Real world data as model input |
Cardiovascular |
63 |
Nicole |
Schiavone |
Stanford University |
In vitro assessment of bioprosthetic valves in clinical models of right ventricular outflow tracts |
Real world data as model input |
Cardiovascular |
77 |
Darrin |
Beekman |
Boston Scientific |
FEA Based Slotted Tube Performance Emulators for Design Specification Development |
|
|
78 |
Rahul |
Mangharam |
University of Pennsylvania |
Assurance Case Design for Computer-Aided Clinical Trials |
|
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