Table 2.
Data | Env | L/R/O | Author | Year | Country | # Trials | # Subjects | Task | Data source | Accuracy |
---|---|---|---|---|---|---|---|---|---|---|
K | B | L | King et al.58 | 2009 | UK | 7 | 7 | Laparoscopic tissue dissection task | Body sensor network glove | Not specified |
K | B | L | Oropesa et al.59 | 2013 | Spain, Norway, Netherlands | 126 | 42 | Grasp and place (one hand), Coordinated pulling, Grasp and transfer | TrEndo tracking system | 71.7–78.2% |
K | B | L | Weede et al.60 | 2014 | Namibia, Germany | 384 | 96 | Knot tying | NDI (EM) aurora tracking system | Not specified |
K | B | L | French et al.61 | 2017 | US | 295 | Pool of 98 | Peg transfer, Suturing, Circle cutting | EDGE, custom box trainer | 2 class: 82.5–87.2%; 3-class: 58.9–65.1% |
K | B | L | Dockter et al.62 | 2017 | US | 91 | Pool of 98 | Peg transfer, Suturing, Circle cutting | EDGE, custom box trainer | 97% |
K | B | L | Uemura et al.63 | 2018 | Japan | 38; 29 | 28; 29 | Suturing | Magnetic tracking sensor on tip of instrument | 79% |
K | B | L | Oquendo et al.64 | 2018 | US, Germany | 63 | 32 | Suturing | Ascension trakSTAR 3D EM motion-tracking system | 89% |
K | B | L | Kowalewski et al.65 | 2019 | Germany | 99 (knot tying) | 28 | Suturing, knot tying | Myo armband | MAE OSATS score: 3.7 ± 0.6 |
K | B | O | Ahmidi et al.66 | 2012 | US | 378 | 20 | Endoscopic sinus surgery tasks | EM tracker to record endoscope and tool motion. Eye gaze tracker. | 88.6–94.6% |
K | B | O | Watson67 | 2014 | US | 48 | 24 | Benchtop Venous anastomosis | Inertial measurement unit | 70–83% |
K | B | O | Sun et al.68 | 2017 | Canada | 12 | 6 | Hand tying | Imperial College Surgical Assessment Device | 100% |
K | B | O | Nguyen et al.69 | 2019 | Australia | 75, 103 | 15 | Open Suturing, Needle passing, Knot tying | 2 wearable inertial processor unit sensors; da Vinci Robot | 98.40% |
K | B | R | Varadarajan et al.70 | 2009 | US | 30 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | up to 86% |
K | B | R | Reiley et al71 | 2009 | US | 57 | 9 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 95–100% |
K | B | R | Tao et al.72 | 2012 | US | 101 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOUO 26.9–59.0% LOSO 94.4–97.4% |
K | B | R | Kumar et al.73 | 2012 | US | 176 | 12 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 76.3–83.3% |
K | B | R | Ahmidi et al.74 | 2013 | US | 39; 110 | 8; 18 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 91.10% |
K | B | R | Forestier et al.75 | 2017 | France | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOSO: SU 93.7%, NP 81.1%, KT 92.5% LOUO: SU 88.3%, NP 75.3%, KT 89.8% |
K | B | R | Brown et al.76 | 2017 | US | 114 | 38 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 51.7–75% |
K | B | R | Zia et al77 | 2018 | US | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | Not specified |
K | B | R | Wang et al.78 | 2018 | US | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOSO SU 92.5%, NP 95.4%, and KT 91.3%, |
K | B | R | Wang et al.79 | 2018 | US | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOSO 96% |
K | B | R | Fard et al.80 | 2018 | US | 75 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOSO KT 82.3% SU 89.9% LOUO KT 77.9% SU 79.8% |
K | B | R | Ershad et al.81 | 2019 | US | 84 | 14 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 91.05% ± 4.02% |
K | B | R | Fawaz et al.32 | 2019 | France | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | NP 100% SU 100% KT 93.2% |
K | B | R | Anh et al.82 | 2020 | Australia | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | LOSO: 90.17–95.63% |
K | B | R | Khalid et al.83 | 2020 | US | 103 | 8 | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | RMSE Precision 97%; Recall 98%; RMSE OSATS Precision 77% Recall 78% |
K | B | R | Brown et al.28 | 2020 | US | 740 | Not specified | Suturing, Manipulation, transection, dissection, Needle passing, Knot tying | da Vinci Robot | 80–98% |
K | B | R | Jiang et al.84 | 2017 | China | 10 | 10 | Peg transfer | Micro Hand S robotic system | Not specified |
K | R | R | Hung et al.18 | 2018 | US | 78 | 9 | Radical Prostatectomy | da Vinci robot | 87.20% predicting LOS |
K | R | R | Chen et al.19 | 2020 | US | 68 | 17 | Needle handling/targeting, needle driving, suture cinching | da Vinci robot | 77.40% |
K | R | O | Ahmidi et al.23 | 2015 | US | 86 | Not specified | Septoplasty | EM sensor on Cottle elevator | 91% |
K | S | O | Megali et al.39 | 2006 | Italy | 16 | 6 | Simple surgical tasks | LapSim Basic Skills 1.5 simulator | Not specified |
K | S | O | Ahmidi et al.85 | 2012 | US | 60 | 20 | Endoscopic sinus surgery tasks | Nasal surgery simulator | 93% |
K | S | O | Poursartip et al.14 | 2017 | Canada | 26 | 26 | Shoulder arthroscopy | Shoulder arthroscopy simulator | 70–95% |
K | S | O | Topalli et al.86 | 2019 | Turkey | 1260 | 28 | Manipulation tasks | Computer-based simulator | 86% |
K | S | O | Winkler-Schwartz et al.87 | 2019 | Canada | 250 | 50 | Neurosurgical tumor resection | VR based training platform | 90% |
K | S | O | Peng et al.88 | 2019 | China | 420 | 14 | Peg transfer | VR based training platform | 96.39% |
K | S | O | Siyar et al.89 | 2020 | Iran, Canada | 115 | 115 | Neurosurgical tumor resection task | VR based training platform | 86–90% |
K | S | O | Mirchi et al.16 | 2020 | Canada | 21 | 21 | Anterior Cervical Discectomy | Sim-Ortho simulator | 83.30% |
V | B | L | Islam et al.90 | 2011 | US | 35 | Aug-19 | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | Not specified |
V | B | L | Islam et al.91 | 2013 | US, India | 52 | 52 | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | Not specified |
V | B | L | Islam et al.92 | 2016 | US | 156 | 52 | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | 74% |
V | B | L | Yamaguchi et al.27 | 2016 | Japan | 38 | 38 | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | Not specified |
V | B | L | Sgouros et al.93 | 2018 | Greece | 74 | Not specified | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | 96% |
V | B | L | Loukas et al.94 | 2020 | Greece | 64 | 32 | Peg transfer, knot tying, Suturing, Shape cutting | Endoscopic videos | Not specified |
V | B | O | Sharma et al.95 | 2014 | US, UK | 31 | 16 | Suturing, knot tying | Endoscopic videos | 93.50% |
V | B | O | Zia et al.96 | 2015 | US | 71 | 18 | Suturing, knot tying | Endoscopic videos | DCT: 85.7–100%; DFT: 91.4–100% |
V | B | O | Zia et al97 | 2016 | US, UK | 71; 33 | 18; 16 | Suturing, knot tying | Endoscopic videos | DCT: 97.4–98.4%; DFT: 95.8–97.7% |
V | B | O | Miller et al.98 | 2018 | US | 70 | 35 | Suturing, knot tying | Endoscopic videos | Not specified |
V | B | R | Funke et al.99 | 2019 | Germany | 103 | 8 | Suturing, Needle passing, Knot tying | Endoscopic videos | LOSO: 95.1%–100.0%. |
V | B | R | Gorantla et al.100 | 2019 | US | 24 | 12 | Urethro-vesical anastomosis | Endoscopic videos | HMM 98.18%, LDA 70% |
V | B | R | Gahan et al.101 | 2020 | US | 23 | Not specified | Urethro-vesical anastomosis | Endoscopic videos | 65–74% |
V | R | L | Jin et al.21 | 2018 | US | 15 | Not specified | Laparoscopic cholecystectomy | Endoscopic videos | Not specified |
V | R | R | Baghdadi et al.20 | 2019 | US | 20 | 20 | Pelvic lymph node dissection from Robot assisted radical cystectomy | Endoscopic videos | 83.30% |
V | R | R | Lee et al.24 | 2020 | South Korea | 54 | 12 | Bilateral axillo-breast approach robotic thyroidectomy | Endoscopic videos | 83% |
V | R | O | Kim et al.25 | 2019 | US | 99 | Not specified | Capsulorhexis | Endoscopic videos | 63.4–84.8% |
V | R | O | Azari et al.22 | 2019 | US | 103 | 9 | Hand tie, suturing | Endoscopic videos | Not specified |
V | S | O | Zhu et al.76 | 2015 | US | 23 | 4 | Capsulorhexis | Kitaro simulator | 58.3–85.2% |
KV | B | L | Rosen et al.40 | 2001 | US | 8 | 8 | Laparoscopic cholecystectomy, Nissen fundoplication | An instrumented laparoscopic grasper with three-axis force/torque sensor and video | Not specified |
KV | B | L | Rosen et al.38 | 2001 | US | 10 | 10 | Laparoscopic cholecystectomy, Nissen fundoplication | An instrumented laparoscopic grasper with three-axis force/torque sensor and video | 87.50% |
KV | B | L | Leong et al.102 | 2007 | UK | 22 | 11 | Point localization | A Polaris infrared tracker on the handle of the laparoscopic instrument and video data | Not specified |
KV | B | L | Kelly et al.103 | 2020 | US | 454 | 124 | Suturing, peg transfer, clipping cutting | Video, kinematic data from EDGE platform | SU 96.9%, PT 87.5%, PC 87.5%, clipping 73.33% |
KV | B | O | Zia et al.104 | 2018 | United States | 74 | 41 | Suturing, Knot tying, | Video and accelerometer data | Video: SU 95.1, KT 92.2 Accelerometer: SU 86.8, KT 78.7% |
KV | B | O | Zhang et al.33 | 2020 | UK | 20–24 per task | 8 | Positioning task, Path following, Needle insertion | Microsurgical Robot Research Platform | 84.7–97.9% |
KV | S | O | Bissonnette et al.17 | 2019 | Canada | 41 | 41 | L3 hemilaminectomy | NeuroVR platform | 65.9–97.6% |
Data: K kinematics, V video, KV kinematics and video. Env environment: B benchtop, S simulation, R real. L laparoscopic, R robotic, O other. Task: EM electromagnetic, VR virtual reality. Accuracy: MAE mean absolute error, OSATS objective structured assessment of technical skill, LOUO leave-one-user-out, LOSO leave-one-super-trial-out, SU suturing, NP needle passing, KT knot tying, RMSE root mean square error, LOS length of stay, DCT discrete cosine transform, DFT discrete fourier transform, HMM Hidden Markov Model, LDA Linear Discriminant Analysis, PC pattern cutting.