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13 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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A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening
Artículo
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A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening
C. R. Wijesinghe et al · BMC · 2026 · ISSN 1472-6947
Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning
Artículo
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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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Development and internal validation of a machine learning-based model for predicting 2-year mortality in interstitial lung disease
Artículo
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Development and internal validation of a machine learning-based model for predicting 2-year mortality in interstitial lung disease
Xingyu Jin et al · BMC · 2026 · ISSN 1465-993X
Abstract Background Interstitial lung disease (ILD) is characterized by marked heterogeneity and an overall poor prognosis, with many patients experiencing rapid progression and high short-term mortality. Accurate early ...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSByZXNwaXJhdG9yeSBzeXN0ZW0~Idioma eng
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Imaging biomarkers of post-COVID dyspnea: insights from machine learning CT patterns and parametric response mapping
Artículo
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Imaging biomarkers of post-COVID dyspnea: insights from machine learning CT patterns and parametric response mapping
Julien G. Cohen et al · BMC · 2026 · ISSN 1465-993X
Abstract Background Dyspnea is one of the most common symptoms in the post-acute phase of COVID-19 pneumonia. Conventional pulmonary function tests and computed tomography (CT) scores often fail to show correlation with ...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSByZXNwaXJhdG9yeSBzeXN0ZW0~Idioma 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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Integration of Systemic Immune-Inflammation Index and Lactate for diagnostic and early risk stratification in pediatric sepsis
Artículo
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Integration of Systemic Immune-Inflammation Index and Lactate for diagnostic and early risk stratification in pediatric sepsis
Fan Liang et al · BMC · 2026 · ISSN 1471-2334
Abstract Background Pediatric sepsis remains a leading cause of global mortality, necessitating early and accurate risk stratification. Traditional scoring systems often fail to capture the rapid, non-linear progression ...
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~Idioma eng
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Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses
Artículo
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Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses
Jiarui Zhang et al · BMC · 2026 · ISSN 1757-2215
Abstract Background Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presentation. We proposed a two-staged CT-based radiomics model to ide...
LCC TENDOkd5bmVjb2xvZ3kgYW5kIG9ic3RldHJpY3M~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
Artículo
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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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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)
Artículo
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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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Joint synthesis of longitudinal MRI and enhanced prediction of neoadjuvant chemotherapy response in breast cancer: a multicohort study
Artículo
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Joint synthesis of longitudinal MRI and enhanced prediction of neoadjuvant chemotherapy response in breast cancer: a multicohort study
Ming Fan et al · BMC · 2026 · ISSN 1471-2407
Abstract Neoadjuvant chemotherapy (NAC) induces critical morphological and vascular changes in breast cancer tumors, yet existing deep learning techniques in medical imaging tend to neglect these longitudinal changes thr...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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