Unravelling machine learning: insights in respiratory medicine

Machine learning is the brain of an artificial intelligence machine. We describe how it is performed and explore its current use in respiratory medicine. Potential future applications and possible issues in integration into clinical practice are discussed. http://bit.ly/31XVruW

[1]  Guang-Zhong Yang,et al.  A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices , 2017, IEEE Journal of Biomedical and Health Informatics.

[2]  J. Wyatt,et al.  Level of accuracy of diagnoses recorded in discharge summaries: A cohort study in three respiratory wards , 2018, Journal of evaluation in clinical practice.

[3]  T. Burki Predicting lung cancer prognosis using machine learning. , 2016, The Lancet. Oncology.

[4]  S. Walsh,et al.  Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study. , 2018, The Lancet. Respiratory medicine.

[5]  Eric A. Hoffman,et al.  Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study , 2017, MICCAI.

[6]  Bram Ginneken,et al.  Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning , 2017 .

[7]  Maher Rizkalla,et al.  SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer , 2019, Front. Genet..

[8]  K. Ngiam,et al.  Big data and machine learning algorithms for health-care delivery. , 2019, The Lancet. Oncology.

[9]  Xin Sun,et al.  Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence , 2019, Nature Medicine.

[10]  Raúl San José Estépar,et al.  Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study , 2019, American journal of respiratory and critical care medicine.

[11]  Yifan Zhou,et al.  Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs , 2019, Comput. Biol. Medicine.

[12]  Fei Wang,et al.  Predictive Modeling of the Hospital Readmission Risk from Patients’ Claims Data Using Machine Learning: A Case Study on COPD , 2019, Scientific Reports.

[13]  T. Akutsu,et al.  Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles. , 2019, Journal of bioinformatics and computational biology.

[14]  Luciano Floridi,et al.  Clinical applications of machine learning algorithms: beyond the black box , 2019, BMJ.

[15]  Bram van Ginneken,et al.  Towards automatic pulmonary nodule management in lung cancer screening with deep learning , 2016, Scientific Reports.

[16]  Elsa D. Angelini,et al.  SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only , 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

[17]  P. Lakhani,et al.  Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks. , 2017, Radiology.

[18]  Avi Goldfarb,et al.  Clinical considerations when applying machine learning to decision-support tasks versus automation , 2019, BMJ Quality & Safety.

[19]  B. Jeong,et al.  Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network. , 2019, Neuro-oncology.

[20]  Zhou Liu,et al.  Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists , 2018, Thoracic cancer.

[21]  Jasjit S. Suri,et al.  The present and future of deep learning in radiology. , 2019, European journal of radiology.

[22]  D. Hansell,et al.  Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures , 2017, European Respiratory Journal.

[23]  S. Thakur,et al.  Adult Small Gut Intussusception Caused by Ascaris as a Lead Point , 2015, The American journal of tropical medicine and hygiene.