AIMC Topic: ROC Curve

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Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy.

Scandinavian journal of primary health care Sep 29, 2021
OBJECTIVE: Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The a...
Retrospective Studies Humans ROC Curve Artificial Intelligence General Practitioners Machine Learning
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Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.

ESC heart failure Sep 28, 2021
AIMS: Predicting the risk of malignant arrhythmias (MA) in hospitalized patients with heart failure (HF) is challenging. Machine learning (ML) can handle a large volume of complex data more effectively than traditional statistical methods. This study...
Humans Machine Learning Arrhythmias, Cardiac Female ROC Curve Logistic Models Heart Failure
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Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.

Scientific reports Sep 28, 2021
The tumor-stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients ...
Stomach Keratins Aged Gastrectomy Adult Observer Variation Deep Learning Stomach Neoplasms Male Humans Image Processing, Computer-Assisted Treatment Outcome Follow-Up Studies Neoplasm Staging Carcinoma Kaplan-Meier Estimate Female Middle Aged Risk Assessment ROC Curve
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Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.

BMC cancer Sep 26, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal can...
Humans Artificial Intelligence Tomography, X-Ray Computed Sensitivity and Specificity Bias Radiologists Rectal Neoplasms Colorectal Neoplasms Preoperative Care Deep Learning Lymph Nodes Publication Bias ROC Curve Lymphatic Metastasis Magnetic Resonance Imaging
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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.

Nature communications Sep 24, 2021
Though consistently shown to detect mammographically occult cancers, breast ultrasound has been noted to have high false-positive rates. In this work, we present an AI system that achieves radiologist-level accuracy in identifying breast cancer in ul...
Radiologists Breast Breast Neoplasms Middle Aged Ultrasonography ROC Curve Reproducibility of Results Early Detection of Cancer Algorithms Aged Humans Mammography Adult Retrospective Studies Female Artificial Intelligence
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Robust whole slide image analysis for cervical cancer screening using deep learning.

Nature communications Sep 24, 2021
Computer-assisted diagnosis is key for scaling up cervical cancer screening. However, current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to generalize for diverse staining and imaging, and show sub-optimal clinica...
Neural Networks, Computer Female Reproducibility of Results Humans ROC Curve Image Processing, Computer-Assisted Early Detection of Cancer Cytodiagnosis Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Deep Learning
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Comparing classification models-a practical tutorial.

Journal of computer-aided molecular design Sep 22, 2021
While machine learning models have become a mainstay in Cheminformatics, the field has yet to agree on standards for model evaluation and comparison. In many cases, authors compare methods by performing multiple folds of cross-validation and reportin...
Machine Learning ROC Curve
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Deep learning versus ophthalmologists for screening for glaucoma on fundus examination: A systematic review and meta-analysis.

Clinical & experimental ophthalmology Sep 22, 2021
BACKGROUND: In this systematic review and meta-analysis, we aimed to compare deep learning versus ophthalmologists in glaucoma diagnosis on fundus examinations.
Deep Learning ROC Curve Fundus Oculi Humans Ophthalmologists Glaucoma
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Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

Scientific reports Sep 22, 2021
The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful surrogate indicator of the risk of recurrence and long-term survival. This study aimed to develop ...
Deep Learning ROC Curve Treatment Outcome Adult Breast Neoadjuvant Therapy Humans Breast Neoplasms Magnetic Resonance Imaging Middle Aged Retrospective Studies Female
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Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning.

BMC ophthalmology Sep 22, 2021
BACKGROUND: The purpose of this study was to implement and evaluate a deep learning (DL) approach for automatically detecting shallow anterior chamber depth (ACD) from two-dimensional (2D) overview anterior segment photographs.
ROC Curve Anterior Chamber Glaucoma Deep Learning China Humans
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