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19 resultados encontrados.

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Learning curve for robotic-assisted total knee arthroplasty
Artículo
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Learning curve for robotic-assisted total knee arthroplasty
Filippo Migliorini et al · BMC · 2026 · ISSN 1749-799X
Abstract Introduction The learning curve refers to the relationship between a learner's execution of a task and the number of attempts or time necessary to perform it in a predictable, reliable, and optimal fashion. The ...
LCC TENDOk9ydGhvcGVkaWMgc3VyZ2VyeQ~~; LCC:Diseases of the musculoskeletal systemIdioma eng
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A Service-Learning Program Based on Comprehensive Geriatric Assessment and Health Promotion in Older Adults: Protocol for the GEROS Project
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A Service-Learning Program Based on Comprehensive Geriatric Assessment and Health Promotion in Older Adults: Protocol for the GEROS Project
Júlia Casacuberta-Roca et al · BMC · 2026 · ISSN 1471-2318
Abstract Background Population ageing presents increasing challenges for health systems. Identifying complex needs and planning individualized care through Comprehensive Geriatric Assessment (CGA), promoting intergenerat...
LCC TENDOkdlcmlhdHJpY3M~Idioma eng
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A deep learning system for diagnosis of rheumatoid arthritis on digital hand photographs
Artículo
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A deep learning system for diagnosis of rheumatoid arthritis on digital hand photographs
Ryosuke Hanaoka et al · BMC · 2026 · ISSN 2520-1026
Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...
LCC LCC:Diseases of the musculoskeletal systemIdioma eng
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Amyloid-beta statuses prediction with free water MR imaging features in Alzheimer’s disease using machine learning models
Artículo
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Amyloid-beta statuses prediction with free water MR imaging features in Alzheimer’s disease using machine learning models
Rongshen Zhou et al · BMC · 2026 · ISSN 1471-2342
Abstract Purpose This study aimed to identify the effectiveness of free water MRI (FW-MRI) features for predicting amyloid-beta (Aβ) statuses in Alzheimer’s disease (AD) by constructing diagnostic models using machine...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
Artículo
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
Xiang Tao et al · BMC · 2026 · ISSN 1471-2342
Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng
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Application of deep learning strategies in the standardization and diagnostic efficiency enhancement of chest X-ray imaging
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Application of deep learning strategies in the standardization and diagnostic efficiency enhancement of chest X-ray imaging
Yung-Cheng Wang et al · BMC · 2026 · ISSN 1471-2342
Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng
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DSS-PPI: a self-supervised graph learning framework for protein-protein interaction prediction via multimodal sequence semantics
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DSS-PPI: a self-supervised graph learning framework for protein-protein interaction prediction via multimodal sequence semantics
Shumei Li et al · BMC · 2026 · ISSN 1471-2164
Abstract Background Reliable identification of protein‑protein interactions (PPIs) is crucial for deciphering cellular functional networks. Current research models still face limitations in aligning heterogeneous featu...
LCC TENDOkJpb3RlY2hub2xvZ3k~; LCC:GeneticsIdioma eng
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Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning
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Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning
Juliane Pfeil et al · BMC · 2026 · ISSN 1471-2334
Abstract Background Leishmaniasis is a vector-borne parasitic disease caused by Leishmania protozoa. The disease manifests in several clinical presentations including cutaneous, mucocutaneous, and visceral leishmaniasis....
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~Idioma eng
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Digital and immersive approaches to anatomy education: a pilot comparative study of CI, VR, and hybrid learning in implant planning
Artículo
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Digital and immersive approaches to anatomy education: a pilot comparative study of CI, VR, and hybrid learning in implant planning
Sakarat Nalampang et al · BMC · 2026 · ISSN 1472-6920
Abstract Background A solid understanding of anatomy is fundamental in dental education, and accurate interpretation of maxillofacial structures is essential across clinical contexts. Implantology is an example of a comp...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Effectiveness of a Radiology Assistant–based blended learning model in medical imaging internship education: a prospective randomized comparative study
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Effectiveness of a Radiology Assistant–based blended learning model in medical imaging internship education: a prospective randomized comparative study
Tonghua Zhang et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Blended learning, integrating traditional teaching with digital resources, has shown promise in medical education. The Radiology Assistant platform offers structured, case-based content that may addre...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Enhancing cardiopulmonary physiotherapy education with an AI-driven Smart Learning Platform: a quasi-experimental study
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Enhancing cardiopulmonary physiotherapy education with an AI-driven Smart Learning Platform: a quasi-experimental study
Qiu-rong Xie et al · BMC · 2026 · ISSN 1472-6920
Abstract Objective This study aims to evaluate student acceptance of a Smart Learning Platform (SLP) (based on the Chaoxing Learning System™) to deliver a cardiopulmonary physiotherapy curriculum. The SLP leverages AI-...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
Artículo
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
Zhaokai Ma et al · BMC · 2026 · ISSN 1471-2229
Abstract Background Accurate and timely estimation of nitrogen nutrition index (NNI) is critical for assessing crop nitrogen (N) status and implementing precision N management. While machine learning (ML) techniques comb...
LCC TENDOkJvdGFueQ~~Idioma eng
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Interpretable machine learning reveals metabolomic signatures: biomarkers and mechanisms in acute vs chronic angle-closure glaucoma
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Interpretable machine learning reveals metabolomic signatures: biomarkers and mechanisms in acute vs chronic angle-closure glaucoma
Jun Ren et al · BMC · 2026 · ISSN 1472-6750
Abstract Backgrounds Acute primary angle-closure glaucoma (APACG) and chronic primary angle-closure glaucoma (CPACG) exhibit distinct clinical features, yet the molecular mechanisms underlying their differing progression...
LCC TENDOkJpb3RlY2hub2xvZ3k~Idioma eng
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Recognising dog movement with behaviour-specific machine learning models: bout length as a biologically relevant parameter for window size
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Recognising dog movement with behaviour-specific machine learning models: bout length as a biologically relevant parameter for window size
Gábor Csizmadia et al · BMC · 2026 · ISSN 1746-6148
Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...
LCC TENDOlZldGVyaW5hcnkgbWVkaWNpbmU~Idioma eng
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The mediating role of positive psychological capital in the relationship between learning-centred leadership and teacher leadership
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The mediating role of positive psychological capital in the relationship between learning-centred leadership and teacher leadership
Pakize Mısırcı et al · BMC · 2026 · ISSN 2050-7283
Abstract Background This study aims to examine the direct relationships among learning-centred leadership, positive psychological capital, and teacher leadership, as well as the mediating role of positive psychological c...
LCC TENDOlBzeWNob2xvZ3k~Idioma eng
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
Josefine Kailaheimo-Björkqvist et al · BMC · 2026 · ISSN 1471-2458
Abstract Background The global prevalence of childhood obesity has increased significantly, with World Health Organisation emphasising the importance of early childhood for promoting healthy growth and development. In Fi...
LCC LCC:Public aspects of medicineIdioma eng
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Improving delirium knowledge and recognition confidence in nursing homes through an e-learning program: a pre–post study
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Improving delirium knowledge and recognition confidence in nursing homes through an e-learning program: a pre–post study
Vincent Molitor et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Delirium is a neuropsychiatric syndrome associated with serious complications. Residents of nursing homes are particularly vulnerable to developing delirium. Nurses play a key role in the prevention, ...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)
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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)
Ekrem Özdemir et al · BMC · 2026 · ISSN 2234-2451
Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...
LCC TENDOk9ydGhvcGVkaWMgc3VyZ2VyeQ~~Idioma eng
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MANTRA game analytics: effectiveness of educational mobile game on knowledge gain and retention of Female Community Health Volunteers (FCHVs) and women in rural Nepal assessed through game analytics
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MANTRA game analytics: effectiveness of educational mobile game on knowledge gain and retention of Female Community Health Volunteers (FCHVs) and women in rural Nepal assessed through game analytics
Sonja Mueller et al · BMC · 2026 · ISSN 1471-2458
Abstract Background Mobile technology can deliver public health interventions to reach remote populations such as unique mHealth interventions aimed at low-literacy audiences in low resource settings. This research study...
LCC LCC:Public aspects of medicineIdioma eng
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