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Machine learning surgery

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https://www.readbyqxmd.com/read/29679032/comparison-of-an-unsupervised-machine-learning-algorithm-and-surgeon-diagnosis-in-the-clinical-differentiation-of-metopic-craniosynostosis-and-benign-metopic-ridge
#1
Min-Jeong Cho, Rami R Hallac, Maleeh Effendi, James R Seaward, Alex A Kane
Metopic suture closure can manifest as a benign metopic ridge (BMR), a variant of normal, to "true" metopic craniosynostosis (MCS), which is associated with severe trigonocephaly. Currently, there is no gold standard for how much associated orbitofrontal dysmorphology should trigger surgical intervention. In our study, we used three-dimensional (3D) curvature analysis to separate the phenotypes along the spectrum, and to compare surgeons' thresholds for operation. Three-dimensional curvature analyses on 43 subject patients revealed that the mean curvature of mid-forehead vertical ridge was higher for patients who underwent operation than those who did not undergo operation by 1...
April 20, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29675321/burn-injured-tissue-detection-for-debridement-surgery-through-the-combination-of-non-invasive-optical-imaging-techniques
#2
Juan Heredia-Juesas, Jeffrey E Thatcher, Yang Lu, John J Squiers, Darlene King, Wensheng Fan, J Michael DiMaio, Jose A Martinez-Lorenzo
The process of burn debridement is a challenging technique requiring significant skills to identify the regions that need excision and their appropriate excision depths. In order to assist surgeons, a machine learning tool is being developed to provide a quantitative assessment of burn-injured tissue. This paper presents three non-invasive optical imaging techniques capable of distinguishing four kinds of tissue-healthy skin, viable wound bed, shallow burn, and deep burn-during serial burn debridement in a porcine model...
April 1, 2018: Biomedical Optics Express
https://www.readbyqxmd.com/read/29669121/machine-learning-as-a-potential-solution-for-shift-during-stereotactic-brain-surgery
#3
Karl R Abi-Aad, Barrett J Anderies, Matthew E Welz, Bernard R Bendok
No abstract text is available yet for this article.
May 1, 2018: Neurosurgery
https://www.readbyqxmd.com/read/29643160/using-machine-learning-techniques-to-develop-forecasting-algorithms-for-postoperative-complications-protocol-for-a-retrospective-study
#4
Bradley A Fritz, Yixin Chen, Teresa M Murray-Torres, Stephen Gregory, Arbi Ben Abdallah, Alex Kronzer, Sherry Lynn McKinnon, Thaddeus Budelier, Daniel L Helsten, Troy S Wildes, Anshuman Sharma, Michael Simon Avidan
INTRODUCTION: Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forecast an individual patient's trajectory in real time remains poor. We propose to apply machine learning techniques to perioperative time-series data to develop algorithms for predicting adverse perioperative outcomes. METHODS AND ANALYSIS: This study will include all adult patients who had surgery at our tertiary care hospital over a 4-year period...
April 10, 2018: BMJ Open
https://www.readbyqxmd.com/read/29554126/spatio-spectral-classification-of-hyperspectral-images-for-brain-cancer-detection-during-surgical-operations
#5
Himar Fabelo, Samuel Ortega, Daniele Ravi, B Ravi Kiran, Coralia Sosa, Diederik Bulters, Gustavo M Callicó, Harry Bulstrode, Adam Szolna, Juan F Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J-O'Shanahan, Sara Bisshopp, María Hernández, Abelardo Báez, Guang-Zhong Yang, Bogdan Stanciulescu, Rubén Salvador, Eduardo Juárez, Roberto Sarmiento
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment for brain cancer, an accurate radical resection of the tumor leads to improved survival rates for patients. However, the identification of the tumor boundaries during surgery is challenging. Hyperspectral imaging is a non-contact, non-ionizing and non-invasive technique suitable for medical diagnosis...
2018: PloS One
https://www.readbyqxmd.com/read/29525490/mobile-technology-and-telemedicine-for-shoulder-range-of-motion-validation-of-a-motion-based-machine-learning-software-development-kit
#6
Prem N Ramkumar, Heather S Haeberle, Sergio M Navarro, Assem A Sultan, Michael A Mont, Eric T Ricchetti, Mark S Schickendantz, Joseph P Iannotti
BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patient access and reduced costs. Advances in mobile health (mHealth) and telemedicine have been inhibited by the lack of interconnectivity between devices and software and inability to process consumer sensor data. The objective of this study was to preliminarily validate a motion-based machine learning software development kit (SDK) for the shoulder compared with a goniometer for 4 arcs of motion: (1) abduction, (2) forward flexion, (3) internal rotation, and (4) external rotation...
March 7, 2018: Journal of Shoulder and Elbow Surgery
https://www.readbyqxmd.com/read/29513147/postoperative-seizure-outcome-guided-machine-learning-for-interictal-electrocorticography-in-neocortical-epilepsy
#7
Seong-Cheol Park, Chun Kee Chung
BACKGROUND AND PURPOSE: The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathologic activities in neocortical epilepsy. METHODS: Electrocorticographies for 39 patients with medically intractable neocortical epilepsy were analyzed. We separately analyzed 38 frequencies from 0.9 to 800 Hz including both high-frequency activities and low-frequency activities to select bands related to seizure outcome...
March 7, 2018: Journal of Neurophysiology
https://www.readbyqxmd.com/read/29498975/the-state-of-technology-in-craniosynostosis
#8
Tyler Safran, Alex Viezel-Mathieu, Benjamin Beland, Alain J Azzi, Rafael Galli, Mirko Gilardino
INTRODUCTION: Craniosynostosis, the premature fusion of ≥1 cranial sutures, is the leading cause of pediatric skull deformities, affecting 1 of every 2000 to 2500 live births worldwide. Technologies used for the management of craniofacial conditions, specifically in craniosynostosis, have been advancing dramatically. This article highlights the most recent technological advances in craniosynostosis surgery through a systematic review of the literature. METHODS: A systematic electronic search was performed using the PubMed database...
March 1, 2018: Journal of Craniofacial Surgery
https://www.readbyqxmd.com/read/29489489/mysurgeryrisk-development-and-validation-of-a-machine-learning-risk-algorithm-for-major-complications-and-death-after-surgery
#9
Azra Bihorac, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Amir Motaei, Mohcine Madkour, Panagote M Pardalos, Gloria Lipori, William R Hogan, Philip A Efron, Frederick Moore, Lyle L Moldawer, Daisy Zhe Wang, Charles E Hobson, Parisa Rashidi, Xiaolin Li, Petar Momcilovic
MINI: In a single-center cohort of 51,457 adult surgical patients, we have developed and validated an automated machine-learning algorithm that uses existing clinical data in electronic health records to forecast the risk for major complications and death after any type of surgery with high sensitivity and high specificity. OBJECTIVE: To accurately calculate the risk for postoperative complications and death after surgery in the preoperative period using machine-learning modeling of clinical data...
February 27, 2018: Annals of Surgery
https://www.readbyqxmd.com/read/29483564/functional-brain-states-measure-mentor-trainee-trust-during-robot-assisted-surgery
#10
Somayeh B Shafiei, Ahmed Aly Hussein, Sarah Feldt Muldoon, Khurshid A Guru
Mutual trust is important in surgical teams, especially in robot-assisted surgery (RAS) where interaction with robot-assisted interface increases the complexity of relationships within the surgical team. However, evaluation of trust between surgeons is challenging and generally based on subjective measures. Mentor-Trainee trust was defined as assessment of mentor on trainee's performance quality and approving trainee's ability to continue performing the surgery. Here, we proposed a novel method of objectively assessing mentor-trainee trust during RAS based on patterns of brain activity of surgical mentor observing trainees...
February 26, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29448809/utilizing-machine-learning-and-automated-performance-metrics-to-evaluate-robot-assisted-radical-prostatectomy-performance-and-predict-outcomes
#11
Andrew Hung, Jian Chen, Zhengping Che, Tanachat Nilanon, Anthony Jarc, Micha Titus, Paul Oh, Inderbir Singh Gill, Yan Liu
Purpose Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance metrics (APMs) to evaluate surgical performance and predict clinical outcomes after robot-assisted radical prostatectomy (RARP). Methods We trained three ML algorithms utilizing APMs directly from robot system data (training material) and hospital length of stay (LOS; training label) (≤2 days and >2days) from 78 RARP cases, and selected the algorithm with the best performance...
February 16, 2018: Journal of Endourology
https://www.readbyqxmd.com/read/29427011/self-learning-computers-for-surgical-planning-and-prediction-of-postoperative-alignment
#12
Renaud Lafage, Sébastien Pesenti, Virginie Lafage, Frank J Schwab
PURPOSE: In past decades, the role of sagittal alignment has been widely demonstrated in the setting of spinal conditions. As several parameters can be affected, identifying the driver of the deformity is the cornerstone of a successful treatment approach. Despite the importance of restoring sagittal alignment for optimizing outcome, this task remains challenging. Self-learning computers and optimized algorithms are of great interest in spine surgery as in that they facilitate better planning and prediction of postoperative alignment...
February 9, 2018: European Spine Journal
https://www.readbyqxmd.com/read/29412496/characterization-of-active-and-infiltrative-tumorous-subregions-from-normal-tissue-in-brain-gliomas-using-multiparametric-mri
#13
Anahita Fathi Kazerooni, Mahnaz Nabil, Mehdi Zeinali Zadeh, Kavous Firouznia, Farid Azmoudeh-Ardalan, Alejandro F Frangi, Christos Davatzikos, Hamidreza Saligheh Rad
BACKGROUND: Targeted localized biopsies and treatments for diffuse gliomas rely on accurate identification of tissue subregions, for which current MRI techniques lack specificity. PURPOSE: To explore the complementary and competitive roles of a variety of conventional and quantitative MRI methods for distinguishing subregions of brain gliomas. STUDY TYPE: Prospective. POPULATION: Fifty-one tissue specimens were collected using image-guided localized biopsy surgery from 10 patients with newly diagnosed gliomas...
February 7, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29389679/artificial-intelligence-in-surgery-promises-and-perils
#14
Daniel A Hashimoto, Guy Rosman, Daniela Rus, Ozanan R Meireles
OBJECTIVE: The aim of this review was to summarize major topics in artificial intelligence (AI), including their applications and limitations in surgery. This paper reviews the key capabilities of AI to help surgeons understand and critically evaluate new AI applications and to contribute to new developments. SUMMARY BACKGROUND DATA: AI is composed of various subfields that each provide potential solutions to clinical problems. Each of the core subfields of AI reviewed in this piece has also been used in other industries such as the autonomous car, social networks, and deep learning computers...
January 31, 2018: Annals of Surgery
https://www.readbyqxmd.com/read/29370004/plastic-surgeon-led-ultrasound
#15
Georgette Oni, Whitney Chow, Venkat Ramakrishnan, Matthew Griffiths
BACKGROUND: Portable high-frequency ultrasound is a useful adjunct to a plastic surgeon's practice. With a short learning curve, this patient-friendly imaging modality has a variety of uses that aid patient management/treatment plans. The authors describe clinical cases and review the literature regarding ultrasound performed by the surgeon. METHODS: The Sonosite S-Nerve machine with the L25X transducer was used (depth, 4.3 cm). Clinical cases that ordinarily would have been referred to the radiology department were taken from the day-to-day practice of the senior author (M...
February 2018: Plastic and Reconstructive Surgery
https://www.readbyqxmd.com/read/29339512/neural-preservation-underlies-speech-improvement-from-auditory-deprivation-in-young-cochlear-implant-recipients
#16
Gangyi Feng, Erin M Ingvalson, Tina M Grieco-Calub, Megan Y Roberts, Maura E Ryan, Patrick Birmingham, Delilah Burrowes, Nancy M Young, Patrick C M Wong
Although cochlear implantation enables some children to attain age-appropriate speech and language development, communicative delays persist in others, and outcomes are quite variable and difficult to predict, even for children implanted early in life. To understand the neurobiological basis of this variability, we used presurgical neural morphological data obtained from MRI of individual pediatric cochlear implant (CI) candidates implanted younger than 3.5 years to predict variability of their speech-perception improvement after surgery...
January 30, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29315279/a-regression-model-for-predicting-shape-deformation-after-breast-conserving-surgery
#17
Hooshiar Zolfagharnasab, Sílvia Bessa, Sara P Oliveira, Pedro Faria, João F Teixeira, Jaime S Cardoso, Hélder P Oliveira
Breast cancer treatments can have a negative impact on breast aesthetics, in case when surgery is intended to intersect tumor. For many years mastectomy was the only surgical option, but more recently breast conserving surgery (BCS) has been promoted as a liable alternative to treat cancer while preserving most part of the breast. However, there is still a significant number of BCS intervened patients who are unpleasant with the result of the treatment, which leads to self-image issues and emotional overloads...
January 9, 2018: Sensors
https://www.readbyqxmd.com/read/29305324/real-world-outcomes-in-patients-with-neovascular-age-related-macular-degeneration-treated-with-intravitreal-vascular-endothelial-growth-factor-inhibitors
#18
REVIEW
Hemal Mehta, Adnan Tufail, Vincent Daien, Aaron Y Lee, Vuong Nguyen, Mehmet Ozturk, Daniel Barthelmes, Mark C Gillies
Clinical trials identified intravitreal vascular endothelial growth factor inhibitors (anti-VEGF agents) have the potential to stabilise or even improve visual acuity outcomes in neovascular age-related macular degeneration (AMD), a sight-threatening disease. Real-world evidence allows us to assess whether results from randomised controlled trials can be applied to the general population. We describe the development of global registries, in particular the Fight Retinal Blindness! registry that originated in Australia, the United Kingdom AMD Electronic Medical Records User Group and the IRIS registry in the USA...
January 2, 2018: Progress in Retinal and Eye Research
https://www.readbyqxmd.com/read/29229144/postoperative-neonatal-mortality-prediction-using-superlearning
#19
Jennifer N Cooper, Peter C Minneci, Katherine J Deans
BACKGROUND: The variable risks associated with neonatal surgery present a challenge to accurate mortality prediction. We aimed to apply superlearning, an ensemble machine learning method, to the prediction of 30-day neonatal postoperative mortality. MATERIALS AND METHODS: We included neonates in the 2012-2014 National Surgical Quality Improvement Program Pediatric. Patients treated in 2012-13 were used in model development (n = 6499), and patients treated in 2014 formed the validation sample (n = 3552)...
January 2018: Journal of Surgical Research
https://www.readbyqxmd.com/read/29215501/predictive-modeling-for-blood-transfusion-following-adult-spinal-deformity-surgery-a-tree-based-machine-learning-approach
#20
Wesley M Durand, J Mason DePasse, Alan H Daniels
STUDY DESIGN: Retrospective cohort study. OBJECTIVE: Blood transfusion is frequently necessary following adult spinal deformity (ASD) surgery. We sought to develop predictive models for blood transfusion following ASD surgery, utilizing both classification tree and random forest machine-learning approaches. SUMMARY OF BACKGROUND DATA: Past models for transfusion risk among spine surgery patients are disadvantaged through use of single-institutional data, potentially limiting generalizability...
December 5, 2017: Spine
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