keyword
MENU ▼
Read by QxMD icon Read
search

learning curve

keyword
https://www.readbyqxmd.com/read/29457342/soft-tissue-balancing-in-total-knee-arthroplasty-using-sensor-guided-assessment-is-there-a-learning-curve
#1
Monther A Gharaibeh, Darren B Chen, Samuel J MacDessi
BACKGROUND: Sensor-guided assessment for soft tissue balance in total knee arthroplasty (TKA) has been reported to improve patient satisfaction and self-reported outcome scores. As more surgeons adopt this technology in TKA, we performed this study to identify if there is a learning curve with its use. METHODS: Analysis of a total of 90 consecutive cases was performed in this study. Initial and final intercompartmental pressure differences were recorded before and after knee ligament balancing...
February 18, 2018: ANZ Journal of Surgery
https://www.readbyqxmd.com/read/29456941/the-learning-curve-in-surgical-practice-and-its-applicability-to-rhinoplasty
#2
Aditya Yeolekar, Haris Qadri
The learning curve as a concept has been considered, discussed and debated in medical education and healthcare for over two decades. The precise usage has been recognised in surgical disciplines both broad specialties and sub-specialties. Rollin Daniel in his book stated that, rhinoplasty is the most difficult of all cosmetic operations for three reasons, (a) nasal anatomy is highly variable, (b) the procedure must correct form and function and (c) the final result must meet the patients expectations. With this in mind a study was carried on the perception of learning curve in rhinoplasty based on a surgeon questionnaire at Marien Hospital, Stuttgart, Germany under Prof...
March 2018: Indian Journal of Otolaryngology and Head and Neck Surgery
https://www.readbyqxmd.com/read/29455422/correction-to-learning-curves-of-two-different-techniques-for-the-intra-articular-injection-of-the-knee-joint-under-fluoroscopic-guidance
#3
Paolo Simoni, Olivier Malaise, Mounia El Hachemi, Angelo Tromba, Grammatina Boitsios
The published version of this article contained a mistake. In Table 1 of the original article, the numbers of successful injections and failed injections were not correct. The correct Table 1 should read as given below.
February 17, 2018: La Radiologia Medica
https://www.readbyqxmd.com/read/29454718/the-learning-curve-for-robot-assisted-minimally-invasive-thoracoscopic-esophagectomy-results-from-312-cases
#4
Pieter C van der Sluis, Jelle P Ruurda, Sylvia van der Horst, Lucas Goense, Richard van Hillegersberg
BACKGROUND: Robot-assisted minimally invasive thoraco-laparoscopic esophagectomy (RAMIE) was developed in 2003. RAMIE was shown to be safe and oncologically effective. The aim of this study was to assess the learning curve and the proctoring program for a newly introduced surgeon (surgeon 2). METHODS: The "learning curve" was defined as the number of operations that must be performed by a surgeon to achieve a steady level of performance. Measures of proficiency to describe the learning curve of the proctor and the newly introduced surgeon 2 included: operating time, blood loss and conversion rates and were analyzed using the cumulative sum (CUSUM) method...
February 15, 2018: Annals of Thoracic Surgery
https://www.readbyqxmd.com/read/29453728/single-site-port-robotic-assisted-hysterectomy-an-update
#5
REVIEW
Christos Iavazzo, Evelyn Eleni Minis, Ioannis D Gkegkes
Single-incision approach in robotic gynecology is a relatively new concept. The role of single-port systems in robotic hysterectomy, their advantages and disadvantages, as well as the technical challenges, are still under investigation. A systematic review was performed by searching in PubMed and Scopus databases. In 810 out of 1225 patients, hysterectomy was performed for non-neoplastic disease. Single-Site ® was the most common port system. Duration of the procedure and relative blood loss ranged from 60 to 311 min and 7 to 750 ml, respectively...
February 16, 2018: Journal of Robotic Surgery
https://www.readbyqxmd.com/read/29453709/prediction-of-autism-at-3-years-from-behavioural-and-developmental-measures-in-high-risk-infants-a-longitudinal-cross-domain-classifier-analysis
#6
G Bussu, E J H Jones, T Charman, M H Johnson, J K Buitelaar
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n = 161) and low-risk controls (LR; n = 71). Longitudinally, LR and HR-Typical showed higher developmental level and functioning, and fewer ASD symptoms than HR-Atypical and HR-ASD...
February 16, 2018: Journal of Autism and Developmental Disorders
https://www.readbyqxmd.com/read/29452755/machine-learning-algorithms-based-on-signals-from-a-single-wearable-inertial-sensor-can-detect-surface-and-age-related-differences-in-walking
#7
B Hu, P C Dixon, J V Jacobs, J T Dennerlein, J M Schiffman
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could detect surface- and age-related differences in walking. Seventeen older (71.5 ± 4.2 years) and eighteen young (27.0 ± 4.7 years) healthy adults walked over flat and uneven brick surfaces wearing an inertial measurement unit (IMU) over the L5 vertebra. IMU data were binned into smaller data segments using 4-s sliding windows with 1-s step lengths...
January 12, 2018: Journal of Biomechanics
https://www.readbyqxmd.com/read/29452334/seed-2-a-user-friendly-platform-for-amplicon-high-throughput-sequencing-data-analyses
#8
Tomáš Vetrovský, Petr Baldrian, Daniel Morais, Bonnie Berger
Motivation: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software developed by the scientific community to address this demand, although very useful, require experience of the command-line environment, extensive training and have steep learning curves, limiting their use...
February 14, 2018: Bioinformatics
https://www.readbyqxmd.com/read/29452284/-micro-endoscopic-vs-pure-endoscopic-surgery-for-spinal-intra-dural-mass-lesions-a-comparative-study-and-review
#9
Sivashanmugam Dhandapani, Madhivanan Karthigeyan
BACKGROUND: Endoscopy is increasingly being used for minimal invasiveness and panoramic visualization, with unclear efficacy and safety among spinal intradural lesions. OBJECTIVE: To compare micro-endoscopic and pure-endoscopic surgery for spinal intradural lesions. METHODS: Spinal intradural lesions operated by us using endoscopic/access ports were categorized 'micro-endoscopic' (predominant microscope use), or 'pure-endoscopic' (standalone endoscopy) surgery, and studied with respect to clinico-radiological features, techniques, peri-operative course, histopathology, clinical and radiological outcome at minimum of 3 months...
February 13, 2018: Spine Journal: Official Journal of the North American Spine Society
https://www.readbyqxmd.com/read/29451862/neonatal-resuscitation-experience-curves-simulation-based-mastery-learning-booster-sessions-and-skill-decay-patterns-among-pediatric-residents
#10
Heideh H Matterson, Demian Szyld, Brad R Green, Heather B Howell, Martin V Pusic, Pradeep V Mally, Sean M Bailey
BACKGROUND: Following neonatal resuscitation program (NRP) training, decay in clinical skills can occur. Simulation-based deliberate practice (SBDP) has been shown to maintain NRP skills to a variable extent. Our study objectives were (a) to determine whether a single 30 min simulation-based intervention that incorporates SBDP and mastery learning (ML) can effectively restore skills and prevent skill decay and (b) to compare different timing options. METHODS: Following NRP certification, pediatric residents were randomly assigned to receive a video-recorded baseline assessment plus SBDP-ML refresher education at between 6 and 9 months (early) or between 9 and 12 months (late)...
February 16, 2018: Journal of Perinatal Medicine
https://www.readbyqxmd.com/read/29451446/improving-patient-safety-during-introduction-of-novel-medical-devices-through-cumulative-summation-analysis
#11
Vejay N Vakharia, Roman Rodionov, Andrew W McEvoy, Anna Miserocchi, Rachel Sparks, Aidan G O'Keeffe, Sebastien Ourselin, John S Duncan
OBJECTIVE The aim of this study was to implement cumulative summation (CUSUM) analysis as an early-warning detection and quality assurance system for preclinical testing of the iSYS1 novel robotic trajectory guidance system. METHODS Anatomically accurate 3D-printed skull phantoms were created for 3 patients who underwent implantation of 21 stereoelectroencephalography electrodes by surgeons using the current standard of care (frameless technique). Implantation schema were recreated using the iSYS1 system, and paired accuracy measures were compared with the previous frameless implantations...
February 16, 2018: Journal of Neurosurgery
https://www.readbyqxmd.com/read/29450843/detection-of-lung-contour-with-closed-principal-curve-and-machine-learning
#12
Tao Peng, Yihuai Wang, Thomas Canhao Xu, Lianmin Shi, Jianwu Jiang, Shilang Zhu
Radiation therapy plays an essential role in the treatment of cancer. In radiation therapy, the ideal radiation doses are delivered to the observed tumor while not affecting neighboring normal tissues. In three-dimensional computed tomography (3D-CT) scans, the contours of tumors and organs-at-risk (OARs) are often manually delineated by radiologists. The task is complicated and time-consuming, and the manually delineated results will be variable from different radiologists. We propose a semi-supervised contour detection algorithm, which firstly uses a few points of region of interest (ROI) as an approximate initialization...
February 15, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29450713/radiomic-signature-as-a-diagnostic-factor-for-histologic-subtype-classification-of-non-small-cell-lung-cancer
#13
Xinzhong Zhu, Di Dong, Zhendong Chen, Mengjie Fang, Liwen Zhang, Jiangdian Song, Dongdong Yu, Yali Zang, Zhenyu Liu, Jingyun Shi, Jie Tian
OBJECTIVES: To distinguish squamous cell carcinoma (SCC) from lung adenocarcinoma (ADC) based on a radiomic signature METHODS: This study involved 129 patients with non-small cell lung cancer (NSCLC) (81 in the training cohort and 48 in the independent validation cohort). Approximately 485 features were extracted from a manually outlined tumor region. The LASSO logistic regression model selected the key features of a radiomic signature. Receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the performance of the radiomic signature in the training and validation cohorts...
February 15, 2018: European Radiology
https://www.readbyqxmd.com/read/29448523/mimicking-the-synaptic-weights-and-human-forgetting-curve-using-hydrothermally-grown-nanostructured-cuo-memristor-device
#14
T D Dongale, P S Pawar, R S Tikke, N B Mullani, V B Patil, A M Teli, K V Khot, S V Mohite, A A Bagade, V S Kumbhar, K Y Rajpure, P N Bhosale, R K Kamat, P S Patil
In the present investigation, we have fabricated copper oxide (CuO) thin film memristor by employing a hydrothermal method for neuromorphic application. The X-ray diffraction pattern confirms the films are polycrystalline in nature with the monoclinic crystal structure. The developed devices show analog memory and synaptic property similar to biological neuron. The size dependent synaptic behavior is investigated for as-prepared and annealed CuO memristor. The results suggested that the magnitude of synaptic weights and resistive switching voltages are dependent on the thickness of the active layer...
February 1, 2018: Journal of Nanoscience and Nanotechnology
https://www.readbyqxmd.com/read/29447188/comparing-deep-learning-and-concept-extraction-based-methods-for-patient-phenotyping-from-clinical-narratives
#15
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T Carlson, Joy T Wu, Jonathan Welt, John Foote, Edward T Moseley, David W Grant, Patrick D Tyler, Leo A Celi
In secondary analysis of electronic health records, a crucial task consists in correctly identifying the patient cohort under investigation. In many cases, the most valuable and relevant information for an accurate classification of medical conditions exist only in clinical narratives. Therefore, it is necessary to use natural language processing (NLP) techniques to extract and evaluate these narratives. The most commonly used approach to this problem relies on extracting a number of clinician-defined medical concepts from text and using machine learning techniques to identify whether a particular patient has a certain condition...
2018: PloS One
https://www.readbyqxmd.com/read/29446891/learning-curve
#16
Kimberly Goad
No abstract text is available yet for this article.
May 2017: Diabetes Forecast
https://www.readbyqxmd.com/read/29446758/localized-thin-section-ct-with-radiomics-feature-extraction-and-machine-learning-to-classify-early-detected-pulmonary-nodules-from-lung-cancer-screening
#17
Shu-Ju Tu, Chih-Wei Wang, Kuang-Tse Pan, Yi-Cheng Wu, Chen-Te Wu
Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate. However, studies from large-scale clinical trials of lung cancer screening showed false-positive rate is high and positive predictive value is low. To address these problems, it is highly needed to have a technical approach for accurate malignancy differentiation among these early-detected nodules. We studied the clinical feasibility of an additional protocol of localized thin-section CT for further assessment on these recalled patients from lung cancer screening tests...
February 15, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29445598/small-incisions-major-complications-video-assisted-thoracoscopic-surgery-management-of-intraoperative-complications
#18
William Grossi, Gianluca Masullo, Francesco Londero, Angelo Morelli
The object of our study is to show the causes leading to conversion, in order to observe the responsible variables and analyses if conversion influences the patient's outcome. Between January 2013 and December 2016, Udine Thoracic Department performed 180 video-assisted thoracoscopic surgery (VATS) lobectomies, and 24 cases were converted to thoracotomy due to an intra-operative complication such as arterial or venous bleeding, airway and other injuries. The VATS lobectomies' number increased over the three years: from 27 in 2013 to 55 in 2015 and 48 in 2016...
2018: Journal of Visualized Surgery
https://www.readbyqxmd.com/read/29445588/the-very-experienced-time-honoured-surgeons-vetus-project
#19
Luca Bertolaccini, Piergiorgio Solli, Roberto Crisci, Gaetano Rocco
Senior surgeons who completed their formal surgical training before the video-assisted thoracoscopic surgery (VATS) lobectomy era have had more experience with lobectomy via thoracotomy while their thoracoscopic training background contrasts from younger surgeons. However, this does not seem to have an unfavourable effect on their performance. Despite the literature recognising the critical points of influence of the learning curve for resident surgeons, limited data are focusing on the incremental performance of VATS lobectomy by senior surgeons...
2018: Journal of Visualized Surgery
https://www.readbyqxmd.com/read/29445587/training-in-robotic-thoracic-surgery
#20
REVIEW
Paul L Linsky, Benjamin Wei
The best way to teach robotic thoracic surgery is still being decided. New trainees, experienced video-assisted thoracoscopic surgery (VATS) surgeons, and predominantly open surgeons each have different needs when it comes to learning robotic surgery. The data shows that the learning curve and ability to learn robotics initially appears to be shorter and easier than surgeons learning VATS. Though the absolute best method for teaching is still under investigation, multiple centers have started to create systematic methods of teaching robotic surgery that increases resident autonomy while still protecting the patient...
2018: Journal of Visualized Surgery
keyword
keyword
57574
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"