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12 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
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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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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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A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma
Artículo
Acceso abierto Artículo DOAJ
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
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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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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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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Machine learning-based analysis of prognostic factors in patients with tuberculous meningitis
Artículo
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Machine learning-based analysis of prognostic factors in patients with tuberculous meningitis
Haiyan Li et al · BMC · 2026 · ISSN 1471-2334
Abstract Objective Machine learning-based approaches were applied to explore prognostic risk factors for patients with tuberculous meningitis (TBM) and develop a risk prediction model for their 1-year post-treatment poor...
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~Idioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval
Artículo
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PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval
Jimin Lee et al · BMC · 2026 · ISSN 1746-4811
Abstract Background Rapid and accurate pest diagnosis is essential for reducing crop losses and improving agricultural productivity. Most existing methods rely on deep learning-based object detection to classify pests in...
LCC TENDOlBsYW50IGN1bHR1cmU~; LCC:Biology (General)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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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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Enhancing cardiopulmonary physiotherapy education with an AI-driven Smart Learning Platform: a quasi-experimental study
Artículo
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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 indigenous methodologies into medical education in the west: a conceptual framework for the Hybrid Relational Clerkship Model (HRCM)
Artículo
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Integrating indigenous methodologies into medical education in the west: a conceptual framework for the Hybrid Relational Clerkship Model (HRCM)
Taraneh Torabi et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Despite growing attention to equity and cultural safety in medical education, Indigenous methodologies remain largely absent from the core structure of clinical training in Canada and America. Current...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Markerless gait analysis for children and adolescents with juvenile idiopathic arthritis using a machine learning pipeline
Artículo
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Markerless gait analysis for children and adolescents with juvenile idiopathic arthritis using a machine learning pipeline
Aseem Behl et al · BMC · 2026 · ISSN 1546-0096
Abstract Background Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold...
LCC TENDOlBlZGlhdHJpY3M~; LCC:Diseases of the musculoskeletal systemIdioma eng
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