AIMC Topic: ROC Curve

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Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

Computational intelligence and neuroscience Jul 7, 2023
The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of...
Big Data ROC Curve Artificial Intelligence Heart Diseases Humans Coronary Artery Bypass Risk Assessment
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Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound.

Journal of medical ultrasonics (2001) Jul 4, 2023
PURPOSE: This study aimed to evaluate the clinical usefulness of a deep learning-based computer-aided detection (CADe) system for breast ultrasound.
Humans Computers Deep Learning ROC Curve Female Breast Neoplasms
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Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 4, 2023
BACKGROUND AND PURPOSE: Immunotherapy is a standard treatment for many tumor types. However, only a small proportion of patients derive clinical benefit and reliable predictive biomarkers of immunotherapy response are lacking. Although deep learning ...
Phenotype Retrospective Studies ROC Curve Stomach Neoplasms Immunotherapy Deep Learning Humans
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Development and Validation of a Machine Learning Model to Identify Patients Before Surgery at High Risk for Postoperative Adverse Events.

JAMA network open Jul 3, 2023
IMPORTANCE: Identifying patients at high risk of adverse outcomes prior to surgery may allow for interventions associated with improved postoperative outcomes; however, few tools exist for automated prediction.
Humans Machine Learning Middle Aged Risk Assessment Retrospective Studies Female ROC Curve Postoperative Complications
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Gigapixel end-to-end training using streaming and attention.

Medical image analysis Jun 26, 2023
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel image inputs directly. Recent developments in weakly supervised learning, such as attention-gated multiple instance learning, have shown promising res...
ROC Curve Female Breast Neoplasms Neural Networks, Computer Humans
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Deep-learning approach to detect childhood glaucoma based on periocular photograph.

Scientific reports Jun 22, 2023
Childhood glaucoma is one of the major causes of blindness in children, however, its diagnosis is of great challenge. The study aimed to demonstrate and evaluate the performance of a deep-learning (DL) model for detecting childhood glaucoma based on ...
Humans Glaucoma Retrospective Studies Deep Learning Child ROC Curve
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Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review.

Frontiers in public health Jun 20, 2023
AIM: To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources.
Artificial Intelligence COVID-19 Humans ROC Curve Language Hospitalization
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External validation of a deep learning detection system for glaucomatous optic neuropathy: a real-world multicentre study.

Eye (London, England) Jun 15, 2023
OBJECTIVES: To conduct an external validation of an automated artificial intelligence (AI) diagnostic system using fundus photographs from a real-life multicentre cohort.
Optic Nerve Diseases Deep Learning Humans ROC Curve Glaucoma Artificial Intelligence
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Deep learning model for automatic image quality assessment in PET.

BMC medical imaging Jun 5, 2023
BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to explore a potential PET image quality assessment (QA) method with deep learning (DL).
ROC Curve Positron-Emission Tomography Humans Reproducibility of Results Deep Learning
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MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2023
Distinguishing malignant from benign lesions has significant clinical impacts on both early detection and optimal management of those early detections. Convolutional neural network (CNN) has shown great potential in medical imaging applications due t...
ROC Curve Neural Networks, Computer Algorithms
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