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https://www.readbyqxmd.com/read/28230663/mastery-in-bariatric-surgery-the-long-term-surgeon-learning-curve-of-roux-en-y-gastric-bypass
#1
Aristithes G Doumouras, Fady Saleh, Sama Anvari, Scott Gmora, Mehran Anvari, Dennis Hong
OBJECTIVE: To determine the effect of cumulative volume on all-cause morbidity and operative time. BACKGROUND: Gastric bypass is an important public health procedure, but it is difficult to master with little data about how surgeon cumulative volume affects outcomes longitudinally. METHODS: This was a longitudinal study of 29 surgeons during the first 6 years of performing bariatric surgery in a high-volume, regionalized center of excellence system...
February 22, 2017: Annals of Surgery
https://www.readbyqxmd.com/read/28229238/preclinical-endoscopic-training-using-a-part-task-simulator-learning-curve-assessment-and-determination-of-threshold-score-for-advancement-to-clinical-endoscopy
#2
Pichamol Jirapinyo, Wasif M Abidi, Hiroyuki Aihara, Theodore Zaki, Cynthia Tsay, Avlin B Imaeda, Christopher C Thompson
BACKGROUND: Preclinical simulator training has the potential to decrease endoscopic procedure time and patient discomfort. This study aims to characterize the learning curve of endoscopic novices in a part-task simulator and propose a threshold score for advancement to initial clinical cases. METHODS: Twenty novices with no prior endoscopic experience underwent repeated endoscopic simulator sessions using the part-task simulator. Simulator scores were collected; their inverse was averaged and fit to an exponential curve...
February 22, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28229175/survival-prediction-of-trauma-patients-a-study-on-us-national-trauma-data-bank
#3
I Sefrioui, R Amadini, J Mauro, A El Fallahi, M Gabbrielli
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge number of victims that might not be immediately and simultaneously saved. In these cases it is important to define priorities avoiding to waste time and resources for not savable victims. Trauma and Injury Severity Score (TRISS) methodology is the well-known and standard system usually used by practitioners to predict the survival probability of trauma patients. However, practitioners have noted that the accuracy of TRISS predictions is unacceptable especially for severely injured patients...
February 22, 2017: European Journal of Trauma and Emergency Surgery: Official Publication of the European Trauma Society
https://www.readbyqxmd.com/read/28227680/a-mobile-platform-for-automated-screening-of-asthma-and-chronic-obstructive-pulmonary-disease
#4
Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Richard Ribon Fletcher, Rahul Kodgule
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 million people. Much of this burden is concentrated in the developing world, where patients lack access to physicians trained in the diagnosis of pulmonary disease. As a result, these patients experience high rates of underdiagnosis and misdiagnosis. To address this need, we present a mobile platform capable of screening for Asthma and COPD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227353/low-resolution-tool-tracking-for-microsurgical-training-in-a-simulated-environment
#5
Antonio Carlos Furtado, Irene Cheng, Eric Fung, Bin Zheng, Anup Basu, Antonio Carlos Furtado, Irene Cheng, Eric Fung, Bin Zheng, Anup Basu, Anup Basu, Eric Fung, Antonio Carlos Furtado, Irene Cheng, Bin Zheng
In this work, we propose a method that detects and tracks the tip of tools used in microsurgical training. This method can be used to provide valuable metrics regarding the surgeon's hand movement. It can benefit the training of surgeons, given the steep learning curve in microsurgery. Unlike past research, our tool tracking algorithm does not rely on color based measurements. Thus, it can be used in a broader domain. Also, our approach is robust to surrounding environments with non-static background, where background subtraction techniques are not suitable...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227245/monitoring-and-detecting-atrial-fibrillation-using-wearable-technology
#6
Shamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D Clifford, Shamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D Clifford, Mohammad M Ghassemi, Shamim Nemati, Nino Isakadze, Vaidehi Ambai, Oleksiy Levantsevych, Amit Shah, Gari D Clifford
Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the question of whether AFib detection can be performed using a pulsatile waveform such as the Photoplethysmogram (PPG). The recent explosion in use of recreational and professional ambulatory wrist-based pulse monitoring devices means that an accurate pulse-based AFib screening algorithm would enable large scale screening for silent or undiagnosed AFib, a significant risk factor for multiple diseases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227226/learning-approaches-to-improve-prediction-of-drug-sensitivity-in-breast-cancer-patients
#7
Turki Turki, Zhi Wei, Turki Turki, Zhi Wei, Turki Turki, Zhi Wei
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond differently to each cancer therapy owing to disease diversity, genetic factors, and environmental causes. Thus, oncologists aim to identify the effective therapies for cancer patients and avoid adverse drug reactions in patients. By predicting the drug response to cancer, oncologists gain full understanding of the effective treatments on each patient, which leads to better personalized treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227008/risk-prediction-for-cardiovascular-disease-using-ecg-data-in-the-china-kadoorie-biobank
#8
Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A Clifton, Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A Clifton, Yang Yang, Zhengming Chen, Yanting Shen, David A Clifton, Robert Clarke, Sarah Parish
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-class classification methods, and (ii) predicting probabilities of "normality", arrhythmia, ischemia, and hypertrophy using a multiclass approach. For one-class classification, we considered 5 possible definitions for "normality" and used 10 automatically-extracted ECG features along with 4 blood pressure features...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226969/a-machine-learning-based-approach-for-identifying-traumatic-brain-injury-patients-for-whom-a-head-ct-scan-can-be-avoided
#9
Somayeh Molaei, Frederick K Korley, S M Reza Soroushmehr, Hayley Falk, Haris Sair, Kevin Ward, Kayvan Najarian, Somayeh Molaei, Frederick K Korley, S M Reza Soroushmehr, Hayley Falk, Haris Sair, Kevin Ward, Kayvan Najarian, Frederick K Korley, Hayley Falk, Kevin Ward, S M Reza Soroushmehr, Haris Sair, Kayvan Najarian, Somayeh Molaei
Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI is costly with low value endeavor. In this paper, we propose a new algorithm and a set of features to help clinicians determine which patients evaluated for TBI need a head CT scan using cost sensitive random forest (CSRF) classifier. We show that random forest (RF) and CSRF are useful methods for identifying patients likely to have a positive head CT scan. The proposed algorithm has superior diagnostic accuracy in comparison to the Canadian head CT algorithm, which is currently the most accurate and widely used algorithm for determining which TBI patients need a head CT scan...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226933/development-of-artificial-tissue-like-structures-for-a-hybrid-epidural-anesthesia-simulator
#10
Benjamin Esterer, Johannes Razenbock, Marianne Hollensteiner, David Fuerst, Andreas Schrempf, Benjamin Esterer, Johannes Razenbock, Marianne Hollensteiner, David Fuerst, Andreas Schrempf, David Fuerst, Benjamin Esterer, Johannes Razenbock, Andreas Schrempf, Marianne Hollensteiner
Puncturing the epidural space and lumbar puncture are common procedures in anesthesia. They are carried out blind, where a needle is advanced from posterior between two adjacent vertebrae. Two different approaches are common practice for this technique, the midline and the paramedian one. The learning curve characteristics of both approaches significantly depends on the number of punctures carried out by a medical novice. For the training of these blind procedures a hybrid simulator requires artificial structures imitating the tissues which are penetrated by the needle...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226758/a-deep-bag-of-features-model-for-the-classification-of-melanomas-in-dermoscopy-images
#11
S Sabbaghi, M Aldeen, R Garnavi, S Sabbaghi, M Aldeen, R Garnavi, M Aldeen, S Sabbaghi, R Garnavi
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the field of medical image diagnosis, particularly in melanoma classification. In this paper, a novel application of deep learning (stacked sparse auto-encoders) is presented for skin lesion classification task. The stacked sparse auto-encoder discovers latent information features in input images (pixel intensities)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226748/integrating-holistic-and-local-deep-features-for-glaucoma-classification
#12
Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Annan Li
Automated glaucoma detection is an important application of retinal image analysis. Compared with segmentation based approaches, image classification based approaches have a potential of better performance. However, it still remains a challenging problem for two reasons. Firstly, due to insufficient sample size, learning effective features is difficult. Secondly, the shape variations of optic disc introduce misalignment. To address these problem, a new classification based approach for glaucoma detection is proposed, in which deep convolutional networks derived from large-scale generic dataset is used to representing the visual appearance and holistic and local features are combined to mitigate the influence of misalignment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#13
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226525/pain-detection-from-facial-images-using-unsupervised-feature-learning-approach
#14
Reza Kharghanian, Ali Peiravi, Farshad Moradi, Reza Kharghanian, Ali Peiravi, Farshad Moradi, Ali Peiravi, Reza Kharghanian, Farshad Moradi
In this paper a new method for continuous pain detection is proposed. One approach to detect the presence of pain is by processing images taken from the face. It has been reported that expression of pain from the face can be detected utilizing Action Units (AUs). In this manner, each action units must be detected separately and then combined together through a linear expression. Also, pain detection can be directly done from a painful face. There are different methods to extract features of both shape and appearance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226440/measuring-the-agreement-between-brain-connectivity-networks
#15
J Toppi, N Sciaraffa, Y Antonacci, A Anzolin, S Caschera, M Petti, D Mattia, L Astolfi, J Toppi, N Sciaraffa, Y Antonacci, A Anzolin, S Caschera, M Petti, D Mattia, L Astolfi, D Mattia, L Astolfi, Y Antonacci, A Anzolin, S Caschera, M Petti, N Sciaraffa, J Toppi
Investigating the level of similarity between two brain networks, resulting from measures of effective connectivity in the brain, can be of interest from many respects. In this study, we propose and test the idea to borrow measures of association used in machine learning to provide a measure of similarity between the structure of (un-weighted) brain connectivity networks. The measures here explored are the accuracy, Cohen's Kappa (K) and Area Under Curve (AUC). We implemented two simulation studies, reproducing two contexts of application that can be particularly interesting for practical applications, namely: i) in methodological studies, performed on surrogate data, aiming at comparing the estimated network with the corresponding ground-truth network; ii) in applications to real data, when it is necessary to compare the structure of a network obtained in a specific subject with a reference (e...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226352/-postoperative-complication-registration-in-gastric-cancer-surgery-from-2005-to-2016-a-learning-curve-in-our-institution
#16
Zhouqiao Wu, Jinyao Shi, Fei Shan, Ziyu Li, Jiafu Ji
OBJECTIVE: To analyze the change in postoperative complication rate after gastric cancer surgery registered in the Peking University Cancer Hospital in recent 11 years and the learning curve of complication registration, and to investigate how to improve the complication registration and evaluation in gastric cancer surgery. METHODS: Patients who underwent open or laparoscopic gastric cancer surgery between April 14, 2005 and February 15, 2016 in our institution were included in the study, and those without essential clinical and administrative data were excluded...
February 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28223057/patency-of-saphenous-vein-grafts-using-the-pas-port-system-during-coronary-artery-bypass-surgery
#17
Hiroshi Kubota, Hidehito Endo, Hikaru Ishii, Hiroshi Tsuchiya, Yu Takahashi, Yusuke Inaba, Mio Noma, Akihiro Yoshimoto, Satoshi Higuchi, Hideyasu Kohshoh, Seiichi Taniai, Haruhisa Ishiguro, Hideaki Yoshino, Kenichi Sudo
BACKGROUND: Several proximal anastomosis devices have been developed to shorten the time required for a proximal anastomosis and to avoid aortic cross-/side-clamping during coronary artery bypass grafting. This study retrospectively examined the patency of saphenous vein grafts (SVGs) using the PAS-Port System (Cardia Inc, Redwood City, CA). METHODS: From 2004 to 2014, 451 patients underwent coronary artery bypass graft operations requiring at least 1 proximal anastomosis using a PAS-Port device...
February 18, 2017: Annals of Thoracic Surgery
https://www.readbyqxmd.com/read/28222211/the-learning-curve-for-the-direct-anterior-approach-for-total-hip-arthroplasty-a-single-surgeon-s-first-500-cases
#18
James M Hartford, Michael J Bellino
BACKGROUND: Concerns arise over the early complications encountered during the learning curve for the direct anterior approach for total hip arthroplasty. PURPOSE: The purpose of this study is to examine the learning experience of a single surgeon in adapting this approach. METHODS: The 1st 500 primary total hip arthroplasties are reviewed. The patients were evaluated out to 3 months. Rates of major complications, reoperations, periprosthetic fractures, heterotopic ossification, leg length discrepancies and lateral femoral cutaneous nerve deficits were identified for each of 100 patients...
February 17, 2017: Hip International: the Journal of Clinical and Experimental Research on Hip Pathology and Therapy
https://www.readbyqxmd.com/read/28219816/the-trepp-as-alternative-technique-for-recurrent-inguinal-hernia-after-lichtenstein-s-repair
#19
W J V Willem Bökkerink, A M Alexandra Persoon, W L Willem Akkersdijk, C J H M Kees van Laarhoven, G G Giel Koning
BACKGROUND: Recurrent inguinal hernias after initial repair with mesh are preferably treated via an alternative route (e.g. posterior after anterior). For recurrent inguinal hernias after an anterior repair such as Lichtenstein's, an endoscopic approach such as the total extraperitoneal or transabdominal preperitoneal technique (TEP or TAPP) is recommended if expertise is present. The TransREctus sheath PrePeritoneal (TREPP) technique is a promising open posterior technique and could be an alternative to endoscopic methods...
February 17, 2017: International Journal of Surgery
https://www.readbyqxmd.com/read/28218554/the-scandcleft-randomised-trials-of-primary-surgery-for-unilateral-cleft-lip-and-palate-11-what-next
#20
William Shaw, Gunvor Semb
BACKGROUND AND AIMS: Longstanding uncertainty surrounds the selection of surgical protocols for unilateral cleft lip and palate (UCLP), and randomised trials have only occasionally been performed. The Scandcleft Project consists of three trials initiated in 1997. The results at age 5 have been published in the series of reports that precede this manuscript, which aims to distill some of the issues that future trialists may need to address. METHOD: The shared experience of this group of trials is reviewed with reference to the current literature on trial management and, more specifically, trials of surgical technique and timing...
February 2017: Journal of Plastic Surgery and Hand Surgery
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