AIMC Topic: Predictive Value of Tests

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Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma.

Respiratory research Mar 8, 2025
BACKGROUND: To evaluate the clinical applicability of deep learning (DL) models based on automatic segmentation in preoperatively predicting tumor spread through air spaces (STAS) in peripheral stage I lung adenocarcinoma (LUAD).
Lung Neoplasms Predictive Value of Tests Neoplasm Staging Adenocarcinoma of Lung Humans Retrospective Studies Female Tomography, X-Ray Computed Aged Male Middle Aged Deep Learning
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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Algorithms Female Risk Factors Aged Male Carcinoma, Hepatocellular Middle Aged Humans Predictive Value of Tests Nutrition Assessment Machine Learning Hepatectomy Risk Assessment Postoperative Complications Liver Neoplasms Nutritional Status Liver Failure
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Utilizing Machine Learning Techniques to Predict Negative Remodeling in Uncomplicated Type B Intramural Hematoma.

Annals of vascular surgery Mar 5, 2025
BACKGROUND: To evaluate the effectiveness of machine learning (ML) techniques in predicting negative remodeling in uncomplicated Stanford type B intramural hematoma (IMHB) during the acute phase.
Humans Machine Learning Retrospective Studies Hematoma Female Male Vascular Remodeling Risk Factors Middle Aged Aortic Diseases Aged Risk Assessment Predictive Value of Tests
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Humans Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Female Risk Factors Aged Male Middle Aged Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Predictive Value of Tests Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Databases, Factual Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Postoperative Complications Treatment Outcome Humans Machine Learning
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Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.

Expert review of respiratory medicine Mar 2, 2025
BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET res...
Predictive Value of Tests Adult Oxygen Consumption Cross-Sectional Studies Exercise Test Humans Male Exercise Tolerance Female Middle Aged Dyspnea Reproducibility of Results Lung Aged
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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Vascular Calcification Coronary Artery Disease Female Asymptomatic Diseases Observer Variation Humans Reproducibility of Results Computed Tomography Angiography Coronary Vessels Aged Plaque, Atherosclerotic
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Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning.

Cardiovascular diabetology Feb 28, 2025
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atherosclerosis and cardiovascular risk. However, its potential role in predicting length of stay (LOS), especially in patients with atherosclerotic cardiovascular...
Female Risk Factors Aged Male Humans Cholesterol, HDL Machine Learning Triglycerides Decision Support Techniques Risk Assessment Prognosis Databases, Factual Length of Stay Retrospective Studies Biomarkers Time Factors Critical Illness Predictive Value of Tests Intensive Care Units Atherosclerosis Middle Aged
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Prediction of sarcopenia at different time intervals: an interpretable machine learning analysis of modifiable factors.

BMC geriatrics Feb 27, 2025
OBJECTIVES: This study aims to develop sarcopenia risk prediction models for Chinese older adults at different time intervals and to identify and compare modifiable factors contributing to sarcopenia development.
Predictive Value of Tests Humans Machine Learning Female Risk Assessment Risk Factors China Aged Time Factors Male Longitudinal Studies Middle Aged Sarcopenia
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Development and evaluation of USCnet: an AI-based model for preoperative prediction of infectious and non-infectious urolithiasis.

World journal of urology Feb 27, 2025
BACKGROUND: Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurrence, necessitates accurate preoperative diagnostic methods to determine stone composition for effective clinical management. Current diagnostic pract...
Humans Artificial Intelligence Tomography, X-Ray Computed Female Adult Male Middle Aged Predictive Value of Tests Preoperative Care Preoperative Period Urolithiasis
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