AIMC Topic: Orthopedic Procedures

Clear Filters Showing 51 to 60 of 100 articles

Robotics in orthopaedic surgery: why, what and how?

Archives of orthopaedic and trauma surgery
INTRODUCTION: Robotics applied to orthopedics has become an interesting topic both from the surgical point of view and the engineering one. The main goal of those systems is the enhancement of joint arthroplasty surgery, providing the robotic support...

Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review.

Acta orthopaedica
Background and purpose - Advancements in software and hardware have enabled the rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given their growing popularity and their likely implementation in clinical practi...

A robotized handheld smart tool for orthopedic surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Handheld surgical robots offer functionalities, such as active guidance, tremor suppression and force reflection, for surgeons to enhance their skill in manipulating surgical tools during medical intervention. In orthopedic surgery, the r...

Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review.

Acta orthopaedica
Background and purpose - External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction models ...

A Review on the Current Applications of Artificial Intelligence in the Operating Room.

Surgical innovation
. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating room (OR). Existing literature elaborates mainly on the future possibilities and expectations for AI in surgery. The aim of this study is to systematic...

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery.

Scientific reports
In this work, we developed and validated a computer method capable of robustly detecting drill breakthrough events and show the potential of deep learning-based acoustic sensing for surgical error prevention. Bone drilling is an essential part of ort...

Feed rate control in robotic bone drilling process.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The bone drilling process is characterised by various parameters, the most important of which are the feed rate (mm/s) and the drill speed (rpm). They highly reflect the final effects and results of the drilling process, such as mechanical and therma...

Artificial intelligence and machine learning in orthopedic surgery: a systematic review protocol.

Journal of orthopaedic surgery and research
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are interwoven into our everyday lives and have grown enormously in some major fields in medicine including cardiology and radiology. While these specialties have quickly embraced AI ...

Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach.

Scientific reports
Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). No study has compared the performance of modern machine learning techniques, against more traditional stepwise regression techniques, when developing ...