The Future of Orthopedic Surgery: AI and Robotics in Action

Artificial Intelligence (AI) leverages advanced computer science and vast datasets to streamline problem-solving, offering transformative potential for orthopedic surgery, clinical practice, and healthcare delivery. Orthopedic surgeons increasingly use AI-driven tools to enhance service quality and outcomes. AI algorithms analyze medical images, such as X-rays, CT scans, and MRIs, to detect abnormalities and assist in diagnosing fractures, joint diseases, spinal conditions, and other musculoskeletal issues. Furthermore, AI supports personalized post-operative care by designing tailored rehabilitation programs and offering real-time feedback during recovery sessions. AI-powered wearable devices monitor movement patterns, promoting proper form and minimizing injury risks. However, accurate, diverse datasets are essential for training and validating AI systems, ensuring data privacy, quality, and interoperability. By integrating AI with intraoperative imaging, surgeons can improve implant positioning, alignment, and technique. AI-guided navigation systems enhance precision, reduce corrective procedures, and support predictive analytics, advancing personalized patient care and post-surgical management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16931801
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Future of Orthopedic Surgery: AI and Robotics in Action

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The Future of Orthopedic Surgery: AI and Robotics in Action

article en

Abstract

Artificial Intelligence (AI) leverages advanced computer science and vast datasets to streamline problem-solving, offering transformative potential for orthopedic surgery, clinical practice, and healthcare delivery. Orthopedic surgeons increasingly use AI-driven tools to enhance service quality and outcomes. AI algorithms analyze medical images, such as X-rays, CT scans, and MRIs, to detect abnormalities and assist in diagnosing fractures, joint diseases, spinal conditions, and other musculoskeletal issues. Furthermore, AI supports personalized post-operative care by designing tailored rehabilitation programs and offering real-time feedback during recovery sessions. AI-powered wearable devices monitor movement patterns, promoting proper form and minimizing injury risks. However, accurate, diverse datasets are essential for training and validating AI systems, ensuring data privacy, quality, and interoperability. By integrating AI with intraoperative imaging, surgeons can improve implant positioning, alignment, and technique. AI-guided navigation systems enhance precision, reduce corrective procedures, and support predictive analytics, advancing personalized patient care and post-surgical management.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 67%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Future of Orthopedic Surgery: AI and Robotics in Action · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS