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| http://dx.doi.org/10.1111/odi.12588 | DOI Listing |
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[Interpretation of the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis based on regression or machine learning methods (TRIPOD+AI)].
Zhonghua Nei Ke Za Zhi
January 2025
Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, National Clinical Medical Research Center for Cardiovascular Diseases, Fu Wai Hospital Medical Research and Statistics Center, Beijing100037, China.
Biomarkers.
Alzheimers Dement
December 2024
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Background: To understand the progression of Alzheimer's disease (AD), neuroimaging and biomarker research relies increasingly on sophisticated data analysis techniques that are often restricted to expert lab environments. Here, we demonstrate how complex analyses on modeling tau spreading across interconnected brain regions from our previous studies (e.g.
View Article and Find Full Text PDFComputer-Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI).
J Magn Reson Imaging
January 2025
Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Breast cancer continues to be a major health concern, and early detection is vital for enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its substantial sensitivity for invasive breast cancers. Computer-aided detection (CADe) systems enhance the effectiveness of MRI by identifying potential lesions, aiding radiologists in focusing on areas of interest, extracting quantitative features, and integrating with computer-aided diagnosis (CADx) pipelines.
View Article and Find Full Text PDFColorectal Cancer and Its Microenvironment: A Brief Review.
Med J Islam Repub Iran
September 2024
Department of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Background: The narrative review aims to explore CRC pathogenesis by deciphering genetic-environmental interactions, analyzing the tumor microenvironment's role, and assessing treatment responses. These objectives seek to enhance clinical decision-making and improve CRC patient care through a comprehensive understanding of the disease.
Methods: A narrative review from 2019 to 2024 on colorectal cancer (CRC) pathogenesis and treatment strategies was conducted.
The TRIPOD-LLM reporting guideline for studies using large language models.
Nat Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
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