In-Silico Analysis of Optimal Configurations for Rotational Bioinspired Bone Marrow Biopsy Needle Designs: An ANN...

Area of Science:

• Biomedical Engineering
• Medical Device Design
• Computational Mechanics

Background:

• Rotating motion in medical needles enhances tissue cutting, reducing force and improving outcomes.
• Bone marrow biopsy (BMB) procedures can be optimized through improved needle design.
• Bio-inspired needles offer potential for less invasive and more effective biopsies.

Purpose of the Study:

• To analyze the impact of six key factors on insertion and extraction forces in BMB.
• To develop an AI tool for selecting optimal design parameters for bio-inspired barbed biopsy needles.
• To create an efficient Graphical User Interface (GUI) for the AI tool.

Main Methods:

• Utilized Taguchi's L32 orthogonal array for experimental design.
• Employed numerical simulation with a 3D Finite Element (FE) model of the human iliac crest.
• Evaluated cutting forces for uni-directional and bidirectional rotating bio-inspired BMB needles.

Main Results:

• Developed an AI tool with over 98% prediction accuracy for biopsy needle design parameters.
• The AI tool demonstrated significantly higher efficiency compared to Abaqus.
• Identified key factors influencing insertion and extraction forces in BMB.

Conclusions:

• The AI tool facilitates the selection of safe and effective design parameters for bio-inspired biopsy needles.
• The developed tool aids researchers and clinicians in advancing environmentally conscious medical device development.
• This innovation streamlines the design process for next-generation biopsy needles.