42,565 results match your criteria train


DiversityScanner: Robotic handling of small invertebrates with machine learning methods.

Mol Ecol Resour 2021 Dec 4. Epub 2021 Dec 4.

Department of Biological Science, National University of Singapore (NUS), Singapore.

Invertebrate biodiversity remains poorly understood although it comprises much of the terrestrial animal biomass, most species, and supplies many ecosystem services. The main obstacle is specimen-rich samples obtained with quantitative sampling techniques (e.g. Read More

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December 2021

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression Problems.

Acta Neurochir Suppl 2022 ;134:43-50

Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany.

This chapter goes through the steps required to train and validate a simple, machine learning-based clinical prediction model for any continuous outcome. We supply fully structured code for the readers to download and execute in parallel to this section, as well as a simulated database of 10,000 glioblastoma patients who underwent microsurgery, and predict survival from diagnosis in months. We walk the reader through each step, including import, checking, splitting of data. Read More

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January 2022

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part IV-A Practical Approach to Binary Classification Problems.

Acta Neurochir Suppl 2022 ;134:33-41

Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany.

We illustrate the steps required to train and validate a simple, machine learning-based clinical prediction model for any binary outcome, such as, for example, the occurrence of a complication, in the statistical programming language R. To illustrate the methods applied, we supply a simulated database of 10,000 glioblastoma patients who underwent microsurgery, and predict the occurrence of 12-month survival. We walk the reader through each step, including import, checking, and splitting of datasets. Read More

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January 2022

Reducing the nanoparticles generated at the wheel-rail contact by applying tap water lubricant at subway train operational velocities.

Authors:
HyunWook Lee

Sci Rep 2021 Dec 3;11(1):23366. Epub 2021 Dec 3.

Transportation Environmental Research Department, New Transportation Innovative Research Center, Korea Railroad Research Institute, 176 Cheoldo Bangmulgwan-ro, Uiwang-si, 16105, Gyeonggi-do, Korea.

The formation characteristics and the reduction of nanoparticles emitted from wheel-rail contacts at subway-train velocities of 73, 90, and 113 km/h under dry and water-lubricated conditions (using tap water) were studied using a twin-disk rig. The resulting number concentration (NC) of ultrafine and fine particles increased with train velocity under both conditions. Particle generation varied with slip rate under both conditions in both the particle categories. Read More

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December 2021

Mental imagery of object motion in weightlessness.

NPJ Microgravity 2021 Dec 3;7(1):50. Epub 2021 Dec 3.

Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, 00179, Rome, Italy.

Mental imagery represents a potential countermeasure for sensorimotor and cognitive dysfunctions due to spaceflight. It might help train people to deal with conditions unique to spaceflight. Thus, dynamic interactions with the inertial motion of weightless objects are only experienced in weightlessness but can be simulated on Earth using mental imagery. Read More

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December 2021

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.

Clin J Am Soc Nephrol 2021 Dec 3. Epub 2021 Dec 3.

M Legendre, Department of Nephrology, CHU Dijon, Dijon, France

The prognosis of patients undergoing kidney tumor resection or kidney donation is linked to many histological criteria. These criteria notably include glomerular density, glomerular volume, vascular luminal stenosis, and severity of interstitial fibrosis/tubular atrophy. Automated measurements through a Deep Learning approach could save time and provide more precise data. Read More

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December 2021

A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain.

Acad Radiol 2021 Nov 30. Epub 2021 Nov 30.

Department of Radiology (J.G.J.), University of Washington, 1959 NE Pacific Street, Seattle WA 98195; Department of Neurological Surgery (J.G.J.), University of Washington, Seattle, Washington; Department of Health Services (J.G.J.), University of Washington, Seattle Washington; Clinical Learning, Evidence And Research Center (J.G.J.), University of Washington, Seattle, Washington. Electronic address:

Rationale And Objectives: The use of natural language processing (NLP) in radiology provides an opportunity to assist clinicians with phenotyping patients. However, the performance and generalizability of NLP across healthcare systems is uncertain. We assessed the performance within and generalizability across four healthcare systems of different NLP representational methods, coupled with elastic-net logistic regression to classify lower back pain-related findings from lumbar spine imaging reports. Read More

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November 2021

Machine learning, artificial intelligence and the prediction of dementia.

Curr Opin Psychiatry 2021 Dec 1. Epub 2021 Dec 1.

Auckland University of Technology, Auckland University of Waikato, School of Psychology, Hamilton, New Zealand.

Purpose Of Review: Artificial intelligence and its division machine learning are emerging technologies that are increasingly applied in medicine. Artificial intelligence facilitates automatization of analytical modelling and contributes to prediction, diagnostics and treatment of diseases. This article presents an overview of the application of artificial intelligence in dementia research. Read More

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December 2021

FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification.

Med Image Anal 2021 Nov 22;76:102307. Epub 2021 Nov 22.

Department of Informatics and Munich School of BioEngineering, Technical University of Munich, Munich, Germany.

Skin disease is one of the most common diseases in the world. Deep learning-based methods have achieved excellent skin lesion recognition performance, most of which are based on only dermoscopy images. In recent works that use multi-modality data (patient's meta-data, clinical images, and dermoscopy images), the methods adopt a one-stage fusion approach and only optimize the information fusion at the feature level. Read More

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November 2021

Hands-on training on exhumation - an approach to train forensic medicine residents in South Asia.

Med Leg J 2021 Dec 3:258172211056778. Epub 2021 Dec 3.

Department of Forensic Medicine, Institute of Medicine, Kathmandu, Nepal.

Forensic anthropology utilises the knowledge gained from the examination of human remains. It is a requirement for forensic medicine residents to have knowledge of forensic anthropology and exhumation. Most of the forensic medicine residents in the Indian sub-continent graduate only with a theoretical knowledge and without a proper practical training of the process involved. Read More

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December 2021

A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets.

PLoS Comput Biol 2021 Dec 3;17(12):e1009613. Epub 2021 Dec 3.

Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.

Machine learning algorithms, including recent advances in deep learning, are promising for tools for detection and classification of broadband high frequency signals in passive acoustic recordings. However, these methods are generally data-hungry and progress has been limited by challenges related to the lack of labeled datasets adequate for training and testing. Large quantities of known and as yet unidentified broadband signal types mingle in marine recordings, with variability introduced by acoustic propagation, source depths and orientations, and interacting signals. Read More

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December 2021

Comparison of Effects of Extubation in Prone and Supine Positions in Patients Operated for Lumbar Disk Herniation.

Turk Neurosurg 2021 Nov 10. Epub 2021 Nov 10.

Dokuz Eylul University, School of Medicine, Department of Anesthesiology and Intensive Care, Izmir, Turkey.

Aim: At the end of lumbar disk operations conducted in the prone position, the extubation period can result in serious respiratory and hemodynamic side effects. In this study, we aimed to observe the effects of prone position extubation on respiratory side effects and hemodynamic parameters.

Material And Methods: This prospective observational study included 60 patients extubated in either the prone (n = 30) or supine (n = 30) positions. Read More

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November 2021

Identifying risk factors of intracerebral hemorrhage stability using explainable attention model.

Med Biol Eng Comput 2021 Dec 2. Epub 2021 Dec 2.

Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.

Segmentation of intracerebral hemorrhage (ICH) helps improve the quality of diagnosis, draft the desired treatment methods, and clinically observe the variations with healthy patients. The clinical utilization of various ICH progression scoring systems has limitations due to the systems' modest predictive value. This paper proposes a single pipeline of a multi-task model for end-to-end hemorrhage segmentation and risk estimation. Read More

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December 2021

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task.

Brain Inform 2021 Dec 2;8(1):26. Epub 2021 Dec 2.

Centre for Complex Systems, The University of Sydney, Camperdown, NSW, 2006, Australia.

Here, we combine network neuroscience and machine learning to reveal connections between the brain's network structure and the emerging network structure of an artificial neural network. Specifically, we train a shallow, feedforward neural network to classify hand-written digits and then used a combination of systems neuroscience and information-theoretic tools to perform 'virtual brain analytics' on the resultant edge weights and activity patterns of each node. We identify three distinct phases of network reconfiguration across learning, each of which are characterized by unique topological and information-theoretic signatures. Read More

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December 2021

Maintaining cerebral perfusion.

Authors:
Matthew R Klein

AEM Educ Train 2021 Aug 1;5(4):e10708. Epub 2021 Aug 1.

Department of Emergency Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA.

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Geographic mobility in the emergency medicine residency match and the influence of gender.

AEM Educ Train 2021 Aug 1;5(4):e10706. Epub 2021 Aug 1.

Department of Emergency Medicine University of Michigan Medical School Ann Arbor Michigan USA.

Objectives: Women are underrepresented in emergency medicine (EM) leadership. Some evidence suggests that geographic mobility improves career advancement. We compared movement between medical school and residency by gender. Read More

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Usability and reproducibility of three tools to assess medical students and residents in emergency medicine.

AEM Educ Train 2021 Aug 1;5(4):e10704. Epub 2021 Aug 1.

Emergency Department Hôpital Pitié-Salpêtrière Assistance Publique - Hôpitaux de Paris Paris France.

Objectives: It is critical to assess competency of medical students and residents in emergency medicine (EM) during undergraduate and graduate medical education. However, very few valid tools exist to assess both technical and nontechnical skills in the specific context of EM. Three Acute Care Assessment Tools (ACAT 1, 2, and 3) have been previously developed for three acute care conditions: cardiac arrest (1), coma (2), and acute respiratory failure (3). Read More

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Randomized controlled trial comparing an open surgical technique and a Seldinger technique for cricothyrotomy performed on a simulated airway.

AEM Educ Train 2021 Aug 1;5(4):e10699. Epub 2021 Aug 1.

Orange Base Hospital Orange New South Wales Australia.

Objectives: Emergency cricothyrotomy is a lifesaving procedure performed when intubation fails and oxygenation cannot occur. There are multiple techniques and kits to perform this procedure. However, current evidence does not provide a definitive answer as to which method is superior. Read More

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Novel tool for assessing the quality of feedback in the emergency room (FEED-ER).

AEM Educ Train 2021 Aug 1;5(4):e10698. Epub 2021 Aug 1.

Department of Emergency Medicine, Faculty of Medicine Chulalongkorn University King Chulalongkorn Memorial Hospital, The Thai Red Cross Society Bangkok Thailand.

Background: The Accreditation Council for Graduate Medical Education (ACGME) emphasizes constructive feedback as a critical component of residency training. Despite over a decade of using competency-based milestone evaluations, emergency medicine (EM) residency programs lack a standardized method for assessing the quality of feedback. We developed two novel EM-specific feedback surveys to assess the quality of feedback in the ER (FEED-ER) from both the resident and the faculty perspectives. Read More

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Dose Prediction Using a Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma With Tomotherapy.

Front Oncol 2021 11;11:752007. Epub 2021 Nov 11.

Department of Radiation Oncology, the First Medical Center of the People's Liberation Army General Hospital, Beijing, China.

Purpose: This study focused on predicting 3D dose distribution at high precision and generated the prediction methods for nasopharyngeal carcinoma patients (NPC) treated with Tomotherapy based on the patient-specific gap between organs at risk (OARs) and planning target volumes (PTVs).

Methods: A convolutional neural network (CNN) is trained using the CT and contour masks as the input and dose distributions as output. The CNN is based on the "3D Dense-U-Net", which combines the U-Net and the Dense-Net. Read More

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November 2021

Use of Mobile Application as an Auxiliary Tool in the Preoperative Marking of Nipple-areola Complex Positioning in Mammoplasty.

Plast Reconstr Surg Glob Open 2021 Nov 30;9(11):e3942. Epub 2021 Nov 30.

Felício Rocho Hospital, Plastic Surgery, Belo Horizonte, Minas Gerais, Brazil.

Background: Smartphones have the ability to benefit plastic surgeons in many ways. The aim of the study is to demonstrate that the use of a mobile application is a useful auxiliary tool for checking and eventual correction/adjustment of preoperative markings by plastic surgeons in mammoplasty.

Methods: The retrospective study was performed in a consecutive series of cases from July 2016 to October 2019. Read More

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November 2021

An unusual mechanism of sideswipe injury in passengers traveling in a train and review of literature.

Int J Burns Trauma 2021 15;11(5):350-356. Epub 2021 Oct 15.

Department of Orthopaedics, University College of Medical Sciences & GTB Hospital Delhi, India.

Introduction: Sideswipe injuries are most commonly described in passengers traveling in a car or bus, but here we report an unusual mode of sideswipe injuries, in passengers traveling in a train sitting on window seats with elbow protruding outside the window.

Case Series: Four patients reported to our Orthopaedic emergency 2 hours after a railway track accident with more or less similar pattern of injury, an open proximal forearm monteggia fracture-dislocation with bone and soft tissue loss along with closed fracture humerus, and with or without radial nerve palsy and intact distal pulses. We followed a multidisciplinary approach with initial wound lavage followed by wound debridement, stabilization of monteggia and humerus fractures with different justifiable modalities of treatment with an exploration of the radial nerve. Read More

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October 2021

Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay.

Sci Rep 2021 Dec 2;11(1):23344. Epub 2021 Dec 2.

Faculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa, 240-8501, Japan.

Bhas 42 cell transformation assay (CTA) has been used to estimate the carcinogenic potential of chemicals by exposing Bhas 42 cells to carcinogenic stimuli to form colonies, referred to as transformed foci, on the confluent monolayer. Transformed foci are classified and quantified by trained experts using morphological criteria. Although the assay has been certified by international validation studies and issued as a guidance document by OECD, this classification process is laborious, time consuming, and subjective. Read More

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December 2021

Pharmacy technician-administered immunizations: A five-year review.

J Am Pharm Assoc (2003) 2021 Nov 14. Epub 2021 Nov 14.

In October 2020, the U.S. Department of Health and Human Services (HHS) issued guidance authorizing trained pharmacy technicians in all states to administer immunizations. Read More

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November 2021

Machine learning-based prediction of 1-year mortality for acute coronary syndrome.

J Cardiol 2021 Nov 29. Epub 2021 Nov 29.

Department of Cardiology, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel; Department of Cardiology, Tel Aviv Jaffa district, Clalit Health Services, Israel; Department of Cardiology, Samson Assuta Ashdod Hospital, Israel.

Background: Clinical risk assessment with quantitative formal risk scores may add to intuitive physician risk assessment and are advised by the international guidelines for the management of acute coronary syndrome (ACS) patients. Most previous studies have used the binary regression/classification approach (dead/alive) for long-term mortality post-ACS, without considering the time-to-event as in survival analysis. The use of machine learning (ML)-based survival models has yet to be validated. Read More

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November 2021

Knowledge and perceptions of pharmacists' readiness during coronavirus pandemic: the case of United Arab Emirates.

J Pharm Policy Pract 2021 Dec 2;14(1):102. Epub 2021 Dec 2.

Department of Clinical Sciences, College of Medicine, University of Sharjah, 27272, Sharjah, United Arab Emirates.

Background: With the outbreak of Coronavirus infection (COVID-19), pharmacists play an important role in supporting local health during this emergency.

Aim: To assess the knowledge and to identify information sources regarding COVID-19 used by pharmacists, to investigate the active and public perceived roles of pharmacists, to explore the role of the pharmacy facilities and health authorities, and to identify barriers that would hinder pharmacists from performing their duties optimally in the United Arab Emirates.

Methods: This descriptive cross-sectional online study was conducted in the UAE during the COVID-19 outbreak, from 18 May to 20 June 2020. Read More

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December 2021

To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data.

J Neurosci Methods 2021 Nov 29:109431. Epub 2021 Nov 29.

Department of Statistics, University of California, CA, Irvine92697. Electronic address:

Background: With the increasing popularity of calcium imaging in neuroscience research, choosing the right methods to analyze calcium imaging data is critical to address various scientific questions. Unlike spike trains measured using electrodes, fluorescence intensity traces provide an indirect and noisy measurement of the underlying neuronal activities. The observed calcium traces are either analyzed directly or deconvolved to spike trains to infer neuronal activities. Read More

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November 2021

Three weeks of a home-based "sleep low-train low" intervention improves functional threshold power in trained cyclists: A feasibility study.

PLoS One 2021 2;16(12):e0260959. Epub 2021 Dec 2.

Research Institute for Sport and Exercise Science (RISES), Liverpool John Moores University, Liverpool, United Kingdom.

Background: "Sleep Low-Train Low" is a training-nutrition strategy intended to purposefully reduce muscle glycogen availability around specific exercise sessions, potentially amplifying the training stimulus via augmented cell signalling. The aim of this study was to assess the feasibility of a 3-week home-based "sleep low-train low" programme and its effects on cycling performance in trained athletes.

Methods: Fifty-five trained athletes (Functional Threshold Power [FTP]: 258 ± 52W) completed a home-based cycling training program consisting of evening high-intensity training (6 × 5 min at 105% FTP), followed by low-intensity training (1 hr at 75% FTP) the next morning, three times weekly for three consecutive weeks. Read More

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December 2021

Image Manipulation Localization Using Attentional Cross-Domain CNN Features.

IEEE Trans Neural Netw Learn Syst 2021 Dec 2;PP. Epub 2021 Dec 2.

Along with the advancement of manipulation technologies, image modification is becoming increasingly convenient and imperceptible. To tackle the challenging image tampering detection problem, this article presents an attentional cross-domain deep architecture, which can be trained end-to-end. This architecture is composed of three convolutional neural network (CNN) streams to extract three types of features, including visual perception, resampling, and local inconsistency features, from spatial and frequency domains. Read More

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December 2021

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.

IEEE Trans Pattern Anal Mach Intell 2021 Dec 2;PP. Epub 2021 Dec 2.

Training supervised video captioning model requires coupled video-caption pairs. However, for many targeted languages, sufficient paired data are not available. To this end, we introduce the unpaired video captioning task aiming to train models without coupled video-caption pairs in target language. Read More

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December 2021