AIMC Topic: Retrospective Studies

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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Humans Machine Learning Algorithms Retrospective Studies Female Infant Mortality Infant, Premature Infant, Premature, Diseases Enterocolitis, Necrotizing Infant, Very Low Birth Weight Infant, Newborn Male Bronchopulmonary Dysplasia ROC Curve Morbidity
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Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Oct 8, 2024
BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality risk for cirrhotic patients. Early prognosis prediction for these patients is crucial. We aimed to develop and validate a machine learning model for i...
Humans Machine Learning Prognosis Retrospective Studies Risk Assessment Acute Kidney Injury China Female Hospital Mortality Aged Logistic Models Male Liver Cirrhosis Middle Aged
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Clinicopathological features for the prediction of immunosuppressive treatment responses in sarcoidosis-related kidney involvement: a single-center retrospective study.

Turkish journal of medical sciences Oct 8, 2024
BACKGROUND/AIM: Sarcoidosis is a multisystem disorder that affects many organs, including the kidneys. This single-center retrospective study investigated the clinical, pathological, and laboratory findings of patients with kidney sarcoidosis who wer...
Glomerular Filtration Rate Sarcoidosis Adult Immunosuppressive Agents Humans Male Kidney Diseases Middle Aged Retrospective Studies Kidney Female Treatment Outcome Aged
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Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Multidetector Computed Tomography Vascular Calcification Phantoms, Imaging Computed Tomography Angiography Humans Predictive Value of Tests Retrospective Studies Aged Coronary Angiography Female Male Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Middle Aged Coronary Artery Disease Severity of Illness Index Coronary Vessels Deep Learning
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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...
Adult Male Middle Aged ROC Curve Neoadjuvant Therapy Neoplasm Staging Rectal Neoplasms Chemoradiotherapy Pathologic Complete Response Humans Machine Learning Prognosis Retrospective Studies Female Aged
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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...
Humans Aged ROC Curve Adult Neural Networks, Computer Uterine Cervical Neoplasms Image Processing, Computer-Assisted Middle Aged Machine Learning Lymph Nodes Deep Learning Prognosis Lymphatic Metastasis Retrospective Studies Magnetic Resonance Imaging Female
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A new scoring in differential diagnosis: multisystem inflammatory syndrome or adenovirus infection?

Turkish journal of medical sciences Oct 6, 2024
BACKGROUND/AIM: Differentiating multisystem inflammatory syndrome in children (MIS-C) from adenovirus infection (AI) can be challenging due to similar clinical and laboratory findings. This study aimed to identify distinguishing characteristics and d...
Adenoviridae Infections Humans Adolescent COVID-19 Child, Preschool Retrospective Studies Child Female Systemic Inflammatory Response Syndrome Male Diagnosis, Differential Infant
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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).
Male Middle Aged Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Sensitivity and Specificity Radiomics
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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...
Male Risk Assessment Length of Stay Time Factors United States Clinical Decision-Making Female Risk Factors Aged Aged, 80 and over Transcatheter Aortic Valve Replacement Treatment Outcome Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Patient Discharge Humans Neural Networks, Computer Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies
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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...
Neoadjuvant Therapy Follow-Up Studies Radiologists Response Evaluation Criteria in Solid Tumors Radiomics Female Humans Male Aged Machine Learning Middle Aged Adult Prognosis Liver Neoplasms Colorectal Neoplasms Retrospective Studies Antineoplastic Combined Chemotherapy Protocols Tomography, X-Ray Computed
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