AIMC Topic: Aged

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Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography.

Endocrine Oct 7, 2024
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge in accurately distinguishing between benign and malignant cases. This study aimed to investigate the diagnostic performance of different strategies, ...
Humans Artificial Intelligence Prospective Studies Female Middle Aged Diagnosis, Differential Aged Diagnosis, Computer-Assisted Elasticity Imaging Techniques Young Adult Thyroid Gland Adult Thyroid Neoplasms Sensitivity and Specificity Thyroid Nodule Male
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Running Athletes Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Coronary Vessels Artificial Intelligence Asymptomatic Diseases Prospective Studies Computed Tomography Angiography Reproducibility of Results Coronary Stenosis Fractional Flow Reserve, Myocardial
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Prediction and validation of pathologic complete response for locally advanced rectal cancer under neoadjuvant chemoradiotherapy based on a novel predictor using interpretable machine learning.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Oct 6, 2024
BACKGROUND: Precise evaluation of pathological complete response (pCR) is essential for determining the prognosis of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (NCRT) and can offer clues for the selec...
ROC Curve Neoadjuvant Therapy Neoplasm Staging Rectal Neoplasms Female Pathologic Complete Response Aged Chemoradiotherapy Adult Humans Male Middle Aged Machine Learning Prognosis Retrospective Studies
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Comparison of measurement of integrated relaxation pressure by esophageal manometry with analysis of swallowing sounds with artificial intelligence in patients with achalasia.

Neurogastroenterology and motility Oct 6, 2024
BACKGROUND: Esophageal motility disorders are mainly evaluated with high-resolution manometry (HRM) which is a time-consuming and uncomfortable procedure with potential adverse events. Acoustic characterization of the swallowing has the potential to ...
Manometry Esophageal Achalasia Male Middle Aged Sound Deglutition Disorders Deglutition Humans Artificial Intelligence Female Aged Adult
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Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.

Journal of applied clinical medical physics Oct 6, 2024
PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM...
Prognosis Retrospective Studies Female Aged Adult Uterine Cervical Neoplasms Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging
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Serum metabolite biomarkers for the early diagnosis and monitoring of age-related macular degeneration.

Journal of advanced research Oct 5, 2024
INTRODUCTION: Age-related macular degeneration (AMD) is a leading cause of irreversible blindness worldwide, with significant challenges for early diagnosis and treatment.
Humans Machine Learning Biomarkers Disease Progression Case-Control Studies Metabolomics Macular Degeneration Early Diagnosis Female Aged Aged, 80 and over Male Middle Aged
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Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.

Neuroradiology Oct 5, 2024
PURPOSE: To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of spontaneous intracerebral hemorrhage (ICH).
Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages Sensitivity and Specificity Humans Radiomics Tomography, X-Ray Computed Machine Learning Male Middle Aged Retrospective Studies Female Diagnosis, Differential Aged Aged, 80 and over Adult
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Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients.

Journal of affective disorders Oct 5, 2024
OBJECTIVE: The objective was to utilize nine machine learning (ML) methods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients.
Machine Learning Prognosis Female Aged Adult Humans Encephalitis Male Middle Aged Support Vector Machine Bayes Theorem Hashimoto Disease
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Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.

Archives of cardiovascular diseases Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Aortic Valve Predictive Value of Tests Patient Discharge Transcatheter Aortic Valve Replacement Risk Factors Aged Aged, 80 and over Male Risk Assessment Length of Stay Time Factors United States Treatment Outcome Aortic Valve Stenosis Decision Support Techniques Databases, Factual Retrospective Studies Clinical Decision-Making Humans Female Neural Networks, Computer Machine Learning
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Computed Tomography-Based Radiomics with Machine Learning Outperforms Radiologist Assessment in Estimating Colorectal Liver Metastases Pathologic Response After Chemotherapy.

Annals of surgical oncology Oct 5, 2024
OBJECTIVES: This study was designed to assess computed tomography (CT)-based radiomics of colorectal liver metastases (CRLM), extracted from posttreatment scans in estimating pathologic treatment response to neoadjuvant therapy, and to compare treatm...
Response Evaluation Criteria in Solid Tumors Adult Colorectal Neoplasms Radiomics Male Middle Aged Prognosis Liver Neoplasms Retrospective Studies Antineoplastic Combined Chemotherapy Protocols Tomography, X-Ray Computed Neoadjuvant Therapy Humans Female Follow-Up Studies Machine Learning Aged Radiologists
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