Current applications of machine learning in spine: from clinical view

GR Ren, K Yu, ZY ** review
L Dick, CP Boyle, RJE Skipworth, DS Smink… - BJS open, 2024 - academic.oup.com
Background There is increasing availability of operative video for use in surgical training.
Emerging technologies can now assess video footage and automatically generate metrics …

Modeling of surgical procedures using statecharts for semi-autonomous robotic surgery

F Falezza, N Piccinelli, G De Rossi… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
In this paper we propose a new methodology to model surgical procedures that is
specifically tailored to semi-autonomous robotic surgery. We propose to use a restricted …

Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies

M Gholinejad, B Edwin, OJ Elle, J Dankelman… - Surgical …, 2023 - Springer
Background Surgical process model (SPM) analysis is a great means to predict the surgical
steps in a procedure as well as to predict the potential impact of new technologies …

Generic surgical process model for minimally invasive liver treatment methods

M Gholinejad, E Pelanis, D Aghayan, ÅA Fretland… - Scientific reports, 2022 - nature.com
Surgical process modelling is an innovative approach that aims to simplify the challenges
involved in improving surgeries through quantitative analysis of a well-established model of …

Multi-objective semi-supervised clustering to identify health service patterns for injured patients

H Akbarzadeh Khorshidi, U Aickelin, G Haffari… - … information science and …, 2019 - Springer
Purpose This study develops a pattern recognition method that identifies patterns based on
their similarity and their association with the outcome of interest. The practical purpose of …

Crowdsourcing annotation of surgical instruments in videos of cataract surgery

TS Kim, A Malpani, A Reiter, GD Hager… - … Imaging and Computer …, 2018 - Springer
Automating objective assessment of surgical technical skill is necessary to support training
and professional certification at scale, even in settings with limited access to an expert …

Surgical data science, an emerging field of medicine

DÁ Nagy, IJ Rudas, T Haidegger - 2017 IEEE 30th Neumann …, 2017 - ieeexplore.ieee.org
Computer Assisted Surgery (CAS) significantly changed the course of interventional
medicine. The development of medical imaging opened up the possibility for accurate …

An interpretable algorithm on post-injury health service utilization patterns to predict injury outcomes

H Akbarzadeh Khorshidi, B Hassani-Mahmooei… - Journal of Occupational …, 2020 - Springer
Purpose Post-injury health service utilization (HSU) contributes to injury outcomes, but
limited studies investigated their relationship. This study aims to group injured patients in …

Early identification of undesirable outcomes for transport accident injured patients using semi-supervised clustering

HA Khorshidi, G Haffari, U Aickelin… - … : Changing the Way …, 2019 - ebooks.iospress.nl
Identifying those patient groups, who have unwanted outcomes, in the early stages is crucial
to providing the most appropriate level of care. In this study, we intend to find distinctive …