AIMC Topic: Orthopedic Procedures
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Robotics in Orthopedics: A Brave New World.
The Journal of arthroplasty
Feb 16, 2018
Future health-care projection projects a significant growth in population by 2020. Health care has seen an exponential growth in technology to address the growing population with the decreasing number of physicians and health-care workers. Robotics i...
The Challenges of Using ChatGPT for Clinical Decision Support in Orthopaedic Surgery: A Pilot Study.
The Journal of the American Academy of Orthopaedic Surgeons
Jun 1, 2025
BACKGROUND: Artificial intelligence (AI) technologies have recently exploded in both accessibility and applicability, including in health care. Although studies have demonstrated its ability to adequately answer simple patient issues or multiple-choi...
The Future of Artificial Intelligence in Hand and Upper Extremity Surgery.
Journal of surgical orthopaedic advances
Jan 1, 2025
The increasing role of artificial intelligence (AI) in healthcare is largely attributed to the fact that, with continual medical advances and digitization, clinical decision-making has become more and more reliant on data. As the volume and complexit...
Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project.
Studies in health technology and informatics
Aug 22, 2024
Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic real-world monitoring to assess associated risks related to implanted materials. Due to population ageing and expanding demands, total hip, knee, and ...
Leveraging Artificial Intelligence and Digital Health to Address Health-Related Social Needs and Optimize Risk-Based Value in Orthopaedic Surgery.
Instructional course lectures
Jan 1, 2024
As the health care landscape evolves toward value-based care and emphasizes health-related social needs, the importance of developing health policies and digital health solutions that foster health equity and risk-based reimbursement strategies has g...
A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration.
Studies in health technology and informatics
Jun 29, 2022
We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010-2019) for a total of 25,352 patients that underwent 15 highest volume electi...
Editorial Commentary: Machine Learning in Medicine Requires Clinician Input, Faces Barriers, and High-Quality Evidence Is Required to Demonstrate Improved Patient Outcomes.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Jun 1, 2022
Machine learning (ML) and artificial intelligence (AI) may be described as advanced statistical techniques using algorithms to "learn" to evaluate and predict relationships between input and results without explicit human programming, often with high...
Artificial intelligence, machine learning, and deep learning in orthopedic surgery.
Joint diseases and related surgery
Jan 1, 2022
CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?
Clinical orthopaedics and related research
Jul 1, 2021
Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.
The Journal of bone and joint surgery. American volume
May 6, 2020
➤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ➤. The 4 things necessary fo...
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