AIMC Topic: Aged

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Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and Radiomics.

American journal of Alzheimer's disease and other dementias Mar 14, 2025
White matter hyperintensity (WMH) is associated with cognitive impairment. In this study, 79 patients with WMH from hospital 1 were randomly divided into a training set (62 patients) and an internal validation set (17 patients). In addition, 29 WMH p...
Magnetic Resonance Imaging White Matter Neuropsychological Tests Male Humans Female Middle Aged Aged Deep Learning Radiomics Cognitive Dysfunction
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A machine learning tool for identifying metastatic colorectal cancer in primary care.

Scandinavian journal of primary health care Mar 13, 2025
BACKGROUND: Detection of colorectal cancer (CRC) is mainly achieved by clinical assessment. As new treatments become available for metastatic CRC (MCRC), it is important to accurately identify these patients.
Humans Machine Learning Female Sweden Male Aged Middle Aged Case-Control Studies Aged, 80 and over Primary Health Care Adult Neoplasm Metastasis Colorectal Neoplasms
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Establishing a Deep Learning Model That Integrates Pretreatment and Midtreatment Computed Tomography to Predict Treatment Response in Non-Small Cell Lung Cancer.

International journal of radiation oncology, biology, physics Mar 13, 2025
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their responses to radiation therapy (RT) due to individual characteristics, making personalized RT for non-small cell lung cancer (NSCLC) challenging. This st...
Female Aged Aged, 80 and over Adult Radiotherapy Dosage Deep Learning ROC Curve Male Treatment Outcome Lung Neoplasms Humans Middle Aged Carcinoma, Non-Small-Cell Lung Area Under Curve Retrospective Studies Tumor Burden Tomography, X-Ray Computed
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Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 13, 2025
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...
Time Factors Predictive Value of Tests Stroke Humans Risk Factors Male Decision Support Techniques Machine Learning Middle Aged Aged Prognosis Female Risk Assessment Reproducibility of Results
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DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Adult Breast Neoplasms Middle Aged Deep Learning Breast Image Interpretation, Computer-Assisted Ki-67 Antigen Contrast Media Magnetic Resonance Imaging Algorithms Retrospective Studies Female Aged Humans Dynamic Contrast Enhanced Magnetic Resonance Imaging
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods.

Tomography (Ann Arbor, Mich.) Mar 13, 2025
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure t...
Predictive Value of Tests Humans Breast Neoplasms Female Chemotherapy, Adjuvant Machine Learning Middle Aged Aged Tomography, X-Ray Computed Treatment Outcome Adult Neoadjuvant Therapy
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Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 13, 2025
BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic resonance imaging (MRI) is essential for effective treatment and surgical planning.
Magnetic Resonance Imaging Spinal Neoplasms Pelvic Neoplasms Sacrum Aged Adult Male Humans Middle Aged Retrospective Studies Deep Learning Female
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

BMC cancer Mar 13, 2025
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical facto...
Treatment Outcome Support Vector Machine Carcinoma, Non-Small-Cell Lung Tumor Burden Induction Chemotherapy Female Male Aged Middle Aged Adult Algorithms Humans Lung Neoplasms Radiomics Retrospective Studies Machine Learning Tomography, X-Ray Computed Nomograms
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Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China.

BMC gastroenterology Mar 13, 2025
BACKGROUND: The objective was to develop a biological age prediction model (NC-BA) for the Chinese population to enrich the relevant studies in this population. And to investigate the association between accelerated age and NAFLD.
Middle Aged Risk Assessment China Nutrition Surveys Support Vector Machine Aged Adult Male Aging Age Factors Non-alcoholic Fatty Liver Disease Linear Models Machine Learning Biomarkers Female Humans
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Development and validation of machine learning-based prediction model for outcome of cardiac arrest in intensive care units.

Scientific reports Mar 13, 2025
Cardiac arrest (CA) poses a significant global health challenge and often results in poor prognosis. We developed an interpretable and applicable machine learning (ML) model for predicting in-hospital mortality of CA patients who survived more than 7...
Machine Learning Algorithms Prognosis Intensive Care Units Female Humans Heart Arrest Aged Male Middle Aged Hospital Mortality
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