Learning Methods
Mostrando 1-12 de 666 artigos, teses e dissertações.
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1. Comparison of ultrasonography learning between distance teaching and traditional methodology. An educational systematic review
ABSTRACT BACKGROUND: Use of the web for radiological education is an obvious application. Many computer-based teaching materials have been developed over recent years, and e-learning is becoming increasingly popular in medical schools. OBJECTIVE: To assess whether the effectiveness of distance-learning and/or e-learning, m-learning and web-based methods ar
Sao Paulo Medical Journal. Publicado em: 2022
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2. Deep learning model-assisted detection of kidney stones on computed tomography
ABSTRACT Introduction: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images. Materials and Methods: This retrospective study included 455 patients who underwent CT scanning for kidney stones between January 2016 and
International braz j urol. Publicado em: 2022
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3. Augmented reality in interventional radiology education: a systematic review of randomized controlled trials
ABSTRACT BACKGROUND: Augmented reality (AR) involves digitally overlapping virtual objects onto physical objects in real space so that individuals can interact with both at the same time. AR in medical education seeks to reduce surgical complications through high-quality education. There is uncertainty in the use of AR as a learning tool for interventional
Sao Paulo Medical Journal. Publicado em: 2022
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4. Identifying patient safety competences among anesthesiology residents: systematic review
Abstract Introduction and objective Patient safety is a concept of great importance to managers, health professionals, and patients and their families, given patient safety promotes more effective care and reduces costs. Moreover, while analyzing the area of anesthesiology, one can realize the epidemiological changes, increased complexity and number of proc
Brazilian Journal of Anesthesiology. Publicado em: 2022
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5. Influence of small-group experiential learning of integrated traditional Chinese and Western medicine on the oral health knowledge, beliefs, and behaviors of elderly patients with diabetes
SUMMARY OBJECTIVE: This study aimed at the oral health problems of elderly patients with diabetes. A training course of integrated traditional Chinese and Western medicine was constructed, helping patients improve their oral health quality of life. METHODS: A randomized controlled prospective experimental study was conducted. A total of 190 elderly patient
Revista da Associação Médica Brasileira. Publicado em: 2022
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6. Predictive model for difficult laryngoscopy using machine learning: retrospective cohort study
Abstract Background Both predictions and predictors of difficult laryngoscopy are controversial. Machine learning is an excellent alternative method for predicting difficult laryngoscopy. This study aimed to develop and validate practical predictive models for difficult laryngoscopy through machine learning. Methods Variables for the prediction of difficul
Brazilian Journal of Anesthesiology. Publicado em: 2022
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7. ESTUDO TEÓRICO E EXPERIMENTAL DE ESTRUTURA E REATIVIDADE RELACIONADO AO METABOLISMO E TOXICIDADE DO PARACETAMOL
An experimental and theoretical approach on oxidative metabolism of paracetamol was applied for the pharmaceutical chemistry learning. Classical reactions, functional group identification, structural parameter, and chemical reactivity using frontier orbitals and Fukui index were used explaining the main products between N-acetyl-p-benzosemiquinone (NAPQI) an
Química Nova. Publicado em: 2022
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8. NATURAL LANGUAGE AT A CROSSROADS: FORMAL AND PROBABILISTIC APPROACHES IN PHILOSOPHY AND COMPUTER SCIENCE
Abstract Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their m
Manuscrito. Publicado em: 2022
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9. Three-Dimensional Printing in Minimally Invasive Cardiac Surgery: Optimizing Surgical Planning and Education with Life-Like Models
Abstract Over recent years, the surgical community has demonstrated a growing interest in imaging advancements that enable more detailed and accurate preoperative diagnoses. Alongside with traditional imaging methods, three-dimensional (3-D) printing emerged as an attractive tool to complement pathology assessment and surgical planning. Minimally invasive ca
Brazilian Journal of Cardiovascular Surgery. Publicado em: 2022
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10. Learning Curve in Left Ventricular Assist Device Implantation: Low Volumes Do Not Equate Bad Outcomes
ABSTRACT Introduction: Most implantations of left ventricular assist devices (LVAD) are performed in low-volume centers. This study aimed to evaluate the procedural learning curve of HeartMate II (HM2) implantations by comparing outcomes between two time periods in a low-volume center. Methods: All 51 consecutive patients undergoing HM2 implantation betwee
Brazilian Journal of Cardiovascular Surgery. Publicado em: 2022
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11. Application of telesimulation in a medical undergraduate course during the SARS-CoV-2 pandemic: a quantitative and retrospective study
ABSTRACT BACKGROUND: Because of the social isolation and distancing measures that were imposed to stop the spread of coronavirus disease 19 (COVID-19), new ways of teaching were implemented. OBJECTIVES: To describe the implementation of telesimulation and seek to assess students’ perceptions regarding telesimulation. DESIGN AND SETTING: Retrospective qu
Sao Paulo Medical Journal. Publicado em: 2022
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12. Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use
Objective: To improve the ability of psychiatry researchers to build, deploy, maintain, reproduce, and share their own psychophysiological tasks. Psychophysiological tasks are a useful tool for studying human behavior driven by mental processes such as cognitive control, reward evaluation, and learning. Neural mechanisms during behavioral tasks are often stu
Brazilian Journal of Psychiatry. Publicado em: 2022