Clinical applications of machine learning algorithms: beyond the black box

Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board

(2018) S P Somashekhar et al.   ANNALS OF ONCOLOGY

Big data phenotyping in rare diseases: some ethical issues

(2018) Nina Hallowell et al.   GENETICS IN MEDICINE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

M. D. Anderson Breaks With IBM Watson, Raising Questions About Artificial Intelligence in Oncology

(2017) Charlie Schmidt   JNCI-Journal of the National Cancer Institute

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

M. D. Anderson Breaks With IBM Watson, Raising Questions About Artificial Intelligence in Oncology

(2017) Charlie Schmidt   JNCI-Journal of the National Cancer Institute

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

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data

(2014) Warren A. Kibbe et al.   NUCLEIC ACIDS RESEARCH

The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations

(2014) Hardeep Singh et al.   BMJ Quality & Safety

Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study

(2012) Helen Hogan et al.   BMJ Quality & Safety