How to develop machine learning models for healthcare

Machine Learning Compared With Pathologist Assessment

(2018) Maarten van Smeden et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

(2018) Jonathan Krause et al.   OPHTHALMOLOGY

Eyeing cardiovascular risk factors

(2018) Daniel Shu Wei Ting et al.   Nature Biomedical Engineering

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

(2018) David F. Steiner et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

(2018) Rory Sayres et al.   OPHTHALMOLOGY

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Discrimination and Calibration of Clinical Prediction Models

(2017) Ana Carolina Alba et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

A tutorial on sensitivity analyses in clinical trials: the what, why, when and how

(2013) Lehana Thabane et al.   BMC Medical Research Methodology

Monitor Alarm Fatigue: Standardizing Use of Physiological Monitors and Decreasing Nuisance Alarms

(2010) K. C. Graham et al.   AMERICAN JOURNAL OF CRITICAL CARE

Understanding and using sensitivity, specificity and predictive values

(2009) Rajul Parikh et al.   INDIAN JOURNAL OF OPHTHALMOLOGY