The impact of artificial intelligence in medicine on the future role of the physician

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

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

The rise of artificial intelligence and the uncertain future for physicians

(2018) C. Krittanawong   European Journal of Internal Medicine

The future of radiology augmented with Artificial Intelligence: A strategy for success

(2018) Charlene Liew   EUROPEAN JOURNAL OF RADIOLOGY

Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

(2018) Thomas Schlegl et al.   OPHTHALMOLOGY

Artificial Intelligence and Radiology: What Will the Future Hold?

(2018) Bernard F. King   Journal of the American College of Radiology

Deep Learning in Radiology: Now the Real Work Begins

(2018) Carolina Lugo-Fagundo et al.   Journal of the American College of Radiology

Artificial intelligence in retina

(2018) Ursula Schmidt-Erfurth et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study

(2017) Timothy J. W. Dawes et al.   RADIOLOGY

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Artificial Intelligence: Threat or Boon to Radiologists?

(2017) Michael Recht et al.   Journal of the American College of Radiology

Big Data and Machine Learning—Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference

(2017) Jonathan B. Kruskal et al.   Journal of the American College of Radiology

Will Machine Learning Tip the Balance in Breast Cancer Screening?

(2017) Andrew D. Trister et al.   JAMA Oncology

Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network

(2017) Xiyang Liu et al.   PLoS One

Development of machine learning models for diagnosis of glaucoma

(2017) Seong Jae Kim et al.   PLoS One

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

(2017) Stephen F. Weng et al.   PLoS One

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluating tactile feedback in robotic surgery for potential clinical application using an animal model

(2015) Christopher R. Wottawa et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

The coming of age of artificial intelligence in medicine

(2008) Vimla L. Patel et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE