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9 resultados encontrados.

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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
Material complementario disponible Artículo DOAJ
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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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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Effectiveness of a Radiology Assistant–based blended learning model in medical imaging internship education: a prospective randomized comparative study
Artículo
Acceso abierto Artículo DOAJ
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
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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Interpretable machine learning model predicts postoperative complications after thoracoscopic mediastinal tumor surgery: a multicenter study
Artículo
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Interpretable machine learning model predicts postoperative complications after thoracoscopic mediastinal tumor surgery: a multicenter study
Ziyan Wei et al · BMC · 2026 · ISSN 1472-6947
Abstract Background Postoperative complications of mediastinal tumors significantly impact patients’ quality of life and long-term outcomes; however, a notable gap in the development of predictive tools for their occur...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~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
Artículo
Acceso abierto Artículo DOAJ
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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A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma
Artículo
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A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma
Zhanhua Gao et al · BMC · 2026 · ISSN 1475-2867
Abstract Backgrounds Neoadjuvant chemoradiation (nCRT) is a standard treatment for rectal carcinoma that reduces tumor size and local recurrence while improving the rate of sphincter preservation. However, many patients ...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~; LCC:CytologyIdioma 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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Effectiveness of a modified BOPPPS teaching model in theoretical education for thoracic surgery: an empirical study
Artículo
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Effectiveness of a modified BOPPPS teaching model in theoretical education for thoracic surgery: an empirical study
Mingchao Wei et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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The mediating role of positive psychological capital in the relationship between learning-centred leadership and teacher leadership
Artículo
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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
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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