# Transforming surgical planning and procedures through the synergistic use of additive manufacturing, advanced materials and artificial intelligence: challenges and opportunities

https://mdr.nims.go.jp/datasets/69e27cdb-774e-4816-8515-c45b3a0583e1

## File

- [Materials Horizons.pdf](https://mdr.nims.go.jp/filesets/9ada49d0-0e24-4692-892a-51ecd96557aa/download) ([Detail](https://mdr.nims.go.jp/filesets/9ada49d0-0e24-4692-892a-51ecd96557aa.md))

## Id

69e27cdb-774e-4816-8515-c45b3a0583e1

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-10-23T07:55:17.657761Z

## Updated at

2025-12-04T08:56:26.945698Z

## Published at

2026-06-10T23:30:59.963234Z

## Doi

https://doi.org/10.48505/nims.5960

## First published url

https://doi.org/10.1039/d5mh00501a

## Date published

2025-06-11

## Recorded date published

2025-9-29

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: 'Transforming surgical planning and procedures through the synergistic use
    of additive manufacturing, advanced materials and artificial intelligence: challenges
    and opportunities'
  title_type: original
  lang: en

## Description

- description: Additive manufacturing (AM) is a powerful approach in healthcare to
    augment the functionalities of patient-specific medical products and surgical
    tools. One such area of the healthcare industry is surgical planningand procedures,
    where the benefits of AM can revolutionize the industry. AM technologies, commonlyknown
    as three-dimensional (3D) printing, can change the conventional surgical methodology
    from the‘‘open-detect–operate-close’’ mode to the ‘‘detect-open–operate-close’’
    mode. However, the use of 3Dprinting in surgical planning has been hampered by
    the limited availability of literature reports thoroughlyexamining the advantages
    and drawbacks of this technology in clinical settings. Hence, this review exploresthe
    widespread use of additive manufacturing, multi-materials, metamaterials, 4D printing,
    and artificialintelligence in surgical planning for complex surgical procedures
    of the spine and in orthopedics, dentistry,cardiology, gynecology, and neurology.
    This review focuses on meticulously adjusting the lattice structureof metamaterials
    during 3D printing to achieve specific mechanical properties. It further delves
    into 4Dprinting to achieve dynamic capabilities in 3D printed models for better
    integration with the host tissue.Furthermore, it highlights the key aspects of
    combining AM with artificial intelligence/machine learning (AI/ML) models in healthcare
    to automate 3D model production and thereby reduce human intervention. Thiscomprehensive
    review offers bioengineers, clinical scientists, and clinicians a platform to
    explore AM and itspotential for addressing pre- and post-surgical operation challenges,
    providing valuable insights forbiomedical engineering and healthcare advancements
  description_type: abstract
  lang: und

## Creator

- name: Shivi Tripathi
  role: author
- name: Aftab Alam Ansari
  role: author
- name: Manisha Singh
  role: author
- name: Madhusmita Dash
  role: author
- name: Prasoon Kumar
  role: author
  orcid: https://orcid.org/0000-0003-0854-3889
- name: Harpreet Singh
  role: author
- name: Biranchi Panda
  role: author
- name: Syam Nukavarapu
  role: author
- name: Gulden Camci-Unal
  role: author
  orcid: https://orcid.org/0000-0003-4258-844X
- name: Bingbing Li
  role: author
- name: Prashant Kumar Jain
  role: author
- name: Rengaswamy Jayaganthan
  role: author
- name: Hassan Mehboob
  role: author
- name: Harri Junaedi
  role: author
  orcid: https://orcid.org/0000-0001-7627-4006
- name: Himansu Sekhar Nanda
  role: author
  orcid: https://orcid.org/0000-0001-5558-9885
- name: Guoping Chen
  role: author
  orcid: https://orcid.org/0000-0001-6753-3678
- name: Subhas C. Kundu
  role: author
  orcid: https://orcid.org/0000-0002-7170-2291

## Contact agent



## Publisher

organization: Royal Society of Chemistry (RSC)

## Managing organization



## Keyword

- subject: 3D printing
  schema: not_defined
- subject: additive manufacturing
  schema: not_defined

## Rights

- identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2025-06-11
end_date: 2026-06-11

## Journal

- title: Materials Horizons
  issn: '20516347'
  volume: '12'
  issue: '19'
  start_page: 7814
  end_page: 7864

## Conference



## Related item



## Funding

- funder_name: Department of Higher Education, India
- identifier: SRG/2019/001504
  funder_name: Science and Engineering Research Board
- identifier: SRG/2021/000859
  funder_name: Science and Engineering Research Board
- funder_name: Prince Sultan University

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 9ada49d0-0e24-4692-892a-51ecd96557aa
  filename: Materials Horizons.pdf
  content_type: application/pdf
  size: 2216666
  md5: 2107802dbaae3960285be7cda9a2f4e5

## Thumbnail

fileset_id: 9ada49d0-0e24-4692-892a-51ecd96557aa
filename: Materials Horizons.pdf