Surgical Phase Recognition with Wearable Video Camera for Computer-aided Orthopaedic Surgery-AI Navigation System

Both medicine and engineering disciplines use problem-solving techniques to address different needs. The solutions often require an understanding of complex system behavior, identification of important system factors, and prediction of the outcome prior to application. This paper presents an introduction to integrated computer-aided approach to support developments in the field of biomedical devices, particularly for those used with orthopaedic surgery applications. The modern design process is first introduced as a road map to establish design that is robust, cost and time effective in order to satisfy the needs of the medical community. The coverage includes methods such as: function abstraction and decomposition, quality function deployment (QFD), case-based design (CBD) methodology, and risk management in design of orthopedic implants.

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Accuracy of Computer-Aided Dynamic Navigation Compared to Computer-Aided Static Procedure for Endodontic Access Cavities: An In Vitro Study

Journal of Clinical Medicine ◽

10.3390/jcm9010129 ◽

2020 ◽

Vol 9 (1) ◽

pp. 129 ◽

Cited By ~ 2

Author(s):

Álvaro Zubizarreta-Macho ◽

Ana de Pedro Muñoz ◽

Elena Riad Deglow ◽

Rubén Agustín-Panadero ◽

Jesús Mena Álvarez

Keyword(s):

Navigation System ◽

In Vitro Study ◽

Study Groups ◽

T Test ◽

Anterior Teeth ◽

Planning Software ◽

Computer Aided ◽

Dynamic Navigation ◽

Group B

Purpose: To analyze the accuracy of two computer-aided navigation techniques to guide the performance of endodontic access cavities compared with the conventional access procedure. Materials and Methods: A total of 30 single-rooted anterior teeth were selected, which were randomly distributed into three study groups: Group A—guided performance of endodontic access cavities through computer-aided static navigation system (n = 10) (SN); Group B—guided performance of endodontic access cavities through computer-aided dynamic navigation system (n = 10) (DN); and Group C—manual (freehand) performance of endodontic access cavities (n = 10) (MN). The endodontic access cavities of the SN group were performed with a stereolithography template designed on 3D implant planning software, based on preoperative cone-beam computed tomography (CBCT) and a 3D extraoral surface scan, and endodontic access cavities of the DN group were planned and performed by the dynamic navigation system. After endodontic access cavities were performed, a second CBCT was done, and the degree of accuracy between the planned and performed endodontic access cavities was analyzed using therapeutic planning software and Student’s t-test. Results: Paired t-test revealed no statistically significant differences between SN and DN at the coronal (p = 0.6542), apical (p = 0.9144), or angular (p = 0.0724) level; however, statistically significant differences were observed between the two computer-aided navigation techniques and the MN group at the coronal (p < 0.0001), apical (p < 0.0001), and angular (p < 0.0001) level. Conclusion: Both computer-aided static and dynamic navigation procedures allowed accurate performance of endodontic access cavities.

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Computer-aided methods for assessing lower limb deformities in orthopaedic surgery planning

Computerized Medical Imaging and Graphics ◽

10.1016/j.compmedimag.2009.11.003 ◽

2010 ◽

Vol 34 (4) ◽

pp. 277-288 ◽

Cited By ~ 28

Author(s):

K. Subburaj ◽

B. Ravi ◽

Manish Agarwal

Keyword(s):

Lower Limb ◽

Orthopaedic Surgery ◽

Surgery Planning ◽

Computer Aided ◽

Limb Deformities

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Accuracy of Computer-Aided Dynamic Navigation Compared to Computer-Aided Static Navigation for Dental Implant Placement: An In Vitro Study

Journal of Clinical Medicine ◽

10.3390/jcm8122123 ◽

2019 ◽

Vol 8 (12) ◽

pp. 2123 ◽

Cited By ~ 8

Author(s):

Alfonso Mediavilla Guzmán ◽

Elena Riad Deglow ◽

Álvaro Zubizarreta-Macho ◽

Rubén Agustín-Panadero ◽

Sofía Hernández Montero

Keyword(s):

Dental Implants ◽

Dental Implant ◽

Navigation System ◽

T Test ◽

Implant Placement ◽

Planning Software ◽

Computer Aided ◽

Dynamic Navigation ◽

Group A ◽

Group B

Aim: To analyze the accuracy capability of two computer-aided navigation procedures for dental implant placement. Materials and Methods: A total of 40 dental implants were selected, which were randomly distributed into two study groups, namely, group A, consisting of those implants that were placed using a computer-aided static navigation system (n = 20) (guided implant (GI)) and group B, consisting of those implants that were placed using a computer-aided dynamic navigation system (n = 20) (navigation implant (NI)). The placement of the implants from group A was performed using surgical templates that were designed using 3D implant-planning software based on preoperative cone-beam computed tomography (CBCT) and a 3D extraoral surface scan, and the placement of group B implants was planned and performed using the dynamic navigation system. After placing the dental implants, a second CBCT was performed and the degree of accuracy of the planning and placement of the implants was analyzed using therapeutic planning software and Student’s t-test. Results: The paired t-test revealed no statistically significant differences between GI and NI at the coronal (p = 0.6535) and apical (p = 0.9081) levels; however, statistically significant differences were observed between the angular deviations of GI and NI (p = 0.0272). Conclusion: Both computer-aided static and dynamic navigation procedures allow accurate implant placement.

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Pipeline Inspection Tests Using a Biomimetic Robot

Biomimetics ◽

10.3390/biomimetics6010017 ◽

2021 ◽

Vol 6 (1) ◽

pp. 17

Author(s):

Elizabeth Islas-García ◽

Marco Ceccarelli ◽

Ricardo Tapia-Herrera ◽

Christopher R. Torres-SanMiguel

Keyword(s):

Computer Aided Design ◽

Video Camera ◽

Spare Parts ◽

Design Tools ◽

Pipeline Inspection ◽

Robot Locomotion ◽

Locomotion System ◽

Computer Aided ◽

Biomimetic Robot ◽

Aided Design

This paper presents a biomimetic prototype of a mobile robot that can be used to inspect the subdrainage conditions of pipelines located along different highways in Mexico. Computer-aided design tools have been used to size each of the prototype components as inspired by anatomical spider structure. Springs are integrated to generate proper contact pressure against the pipe walls. The robot locomotion system is implemented with adaptable behaviour for the irregularities of pipelines along its journey. The robot prototype is manufactured in 3D printing with the advantage of having its spare parts easily replaceable. Reported results show internal pipe status through a mini video camera on the top of the robot.

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