Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training

Thomas E.F. Witte; Martin Schmettow; Marleen Groenier

doi:10.1007/978-3-030-22341-0_37

Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training

Thomas E.F. Witte^*, Martin Schmettow, Marleen Groenier

^*Corresponding author for this work

Technical Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

2 Downloads (Pure)

Abstract

Robot-assisted surgery training is shifting towards simulation-based training. Challenges that accompany this shift are high costs, working hour regulations and the high stakes aspects of the surgery domain. Adaptive training could be a possible solution to reduce the problems. First, an adaptive system needs diagnostic data with which the system can make an action selection. A scoping literature search was performed to give an overview of the state of the research regarding diagnostic requirements. Diagnostic metrics should be (a) useful for formative and not only summative assessment of trainee progress, (b) valid and reliable, (c) as nonintrusive as possible for the trainee, (d) predictive of future performance in the operating theater (e) explanatory, and (f) suitable for real-time assessment of trainee’s learning state. For a more in-depth understanding, further research is needed into which simulator parameters can be used as diagnostic metrics that can be assessed in real-time. A possible framework for adaptive training systems is discussed, and future research topics are presented.

Original language	English
Title of host publication	Adaptive Instructional Systems
Subtitle of host publication	1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
Editors	Robert A. Sottilare, Jessica Schwarz
Publisher	Springer
Pages	469-481
Number of pages	13
ISBN (Electronic)	978-3-030-22341-0
ISBN (Print)	978-3-030-22340-3
DOIs	https://doi.org/10.1007/978-3-030-22341-0_37
Publication status	Published - 14 Jun 2019
Event	1st International Conference on Adaptive Instructional Systems, AIS 2019 - Walt Disney World Swan and Dolphin Resort, Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019 Conference number: 1 http://2019.hci.international/ais

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11597 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Adaptive Instructional Systems, AIS 2019
Abbreviated title	AIS 2019
Country/Territory	United States
City	Orlando
Period	26/07/19 → 31/07/19
Other	Held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Internet address	http://2019.hci.international/ais

Keywords

Adaptive training
Real-time assessment
Robotic surgery
Robotic surgical training

Access to Document

10.1007/978-3-030-22341-0_37

Cite this

Witte, T. E. F., Schmettow, M., & Groenier, M. (2019). Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 469-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11597 LNCS). Springer. https://doi.org/10.1007/978-3-030-22341-0_37

Witte, Thomas E.F. ; Schmettow, Martin ; Groenier, Marleen. / Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Robert A. Sottilare ; Jessica Schwarz. Springer, 2019. pp. 469-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6b11d63d1dc6421b9ae51b0f14765aae,

title = "Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training",

abstract = "Robot-assisted surgery training is shifting towards simulation-based training. Challenges that accompany this shift are high costs, working hour regulations and the high stakes aspects of the surgery domain. Adaptive training could be a possible solution to reduce the problems. First, an adaptive system needs diagnostic data with which the system can make an action selection. A scoping literature search was performed to give an overview of the state of the research regarding diagnostic requirements. Diagnostic metrics should be (a) useful for formative and not only summative assessment of trainee progress, (b) valid and reliable, (c) as nonintrusive as possible for the trainee, (d) predictive of future performance in the operating theater (e) explanatory, and (f) suitable for real-time assessment of trainee{\textquoteright}s learning state. For a more in-depth understanding, further research is needed into which simulator parameters can be used as diagnostic metrics that can be assessed in real-time. A possible framework for adaptive training systems is discussed, and future research topics are presented.",

keywords = "Adaptive training, Real-time assessment, Robotic surgery, Robotic surgical training",

author = "Witte, {Thomas E.F.} and Martin Schmettow and Marleen Groenier",

year = "2019",

month = jun,

day = "14",

doi = "10.1007/978-3-030-22341-0_37",

language = "English",

isbn = "978-3-030-22340-3",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "469--481",

editor = "Sottilare, {Robert A.} and Jessica Schwarz",

booktitle = "Adaptive Instructional Systems",

note = "1st International Conference on Adaptive Instructional Systems, AIS 2019, AIS 2019 ; Conference date: 26-07-2019 Through 31-07-2019",

url = "http://2019.hci.international/ais",

}

Witte, TEF, Schmettow, M & Groenier, M 2019, Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. in RA Sottilare & J Schwarz (eds), Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11597 LNCS, Springer, pp. 469-481, 1st International Conference on Adaptive Instructional Systems, AIS 2019, Orlando, Florida, United States, 26/07/19. https://doi.org/10.1007/978-3-030-22341-0_37

Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. / Witte, Thomas E.F.; Schmettow, Martin ; Groenier, Marleen.
Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Robert A. Sottilare; Jessica Schwarz. Springer, 2019. p. 469-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11597 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training

AU - Witte, Thomas E.F.

AU - Schmettow, Martin

AU - Groenier, Marleen

N1 - Conference code: 1

PY - 2019/6/14

Y1 - 2019/6/14

N2 - Robot-assisted surgery training is shifting towards simulation-based training. Challenges that accompany this shift are high costs, working hour regulations and the high stakes aspects of the surgery domain. Adaptive training could be a possible solution to reduce the problems. First, an adaptive system needs diagnostic data with which the system can make an action selection. A scoping literature search was performed to give an overview of the state of the research regarding diagnostic requirements. Diagnostic metrics should be (a) useful for formative and not only summative assessment of trainee progress, (b) valid and reliable, (c) as nonintrusive as possible for the trainee, (d) predictive of future performance in the operating theater (e) explanatory, and (f) suitable for real-time assessment of trainee’s learning state. For a more in-depth understanding, further research is needed into which simulator parameters can be used as diagnostic metrics that can be assessed in real-time. A possible framework for adaptive training systems is discussed, and future research topics are presented.

AB - Robot-assisted surgery training is shifting towards simulation-based training. Challenges that accompany this shift are high costs, working hour regulations and the high stakes aspects of the surgery domain. Adaptive training could be a possible solution to reduce the problems. First, an adaptive system needs diagnostic data with which the system can make an action selection. A scoping literature search was performed to give an overview of the state of the research regarding diagnostic requirements. Diagnostic metrics should be (a) useful for formative and not only summative assessment of trainee progress, (b) valid and reliable, (c) as nonintrusive as possible for the trainee, (d) predictive of future performance in the operating theater (e) explanatory, and (f) suitable for real-time assessment of trainee’s learning state. For a more in-depth understanding, further research is needed into which simulator parameters can be used as diagnostic metrics that can be assessed in real-time. A possible framework for adaptive training systems is discussed, and future research topics are presented.

KW - Adaptive training

KW - Real-time assessment

KW - Robotic surgery

KW - Robotic surgical training

UR - http://www.scopus.com/inward/record.url?scp=85069674023&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-22341-0_37

DO - 10.1007/978-3-030-22341-0_37

M3 - Conference contribution

AN - SCOPUS:85069674023

SN - 978-3-030-22340-3

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 469

EP - 481

BT - Adaptive Instructional Systems

A2 - Sottilare, Robert A.

A2 - Schwarz, Jessica

PB - Springer

T2 - 1st International Conference on Adaptive Instructional Systems, AIS 2019

Y2 - 26 July 2019 through 31 July 2019

ER -

Witte TEF, Schmettow M , Groenier M. Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. In Sottilare RA, Schwarz J, editors, Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer. 2019. p. 469-481. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22341-0_37

Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this