A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs

(2020) Claudio E. von Schacky et al.   RADIOLOGY

Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?

(2020) David W. G. Langerhuizen et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Indications and interventions of damage control orthopedic surgeries: an expert opinion survey

(2020) Roman Pfeifer et al.   European Journal of Trauma and Emergency Surgery

Deep Learning for Dermatologists: Part II. Current Applications

(2020) Pranav Puri et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Detection of hip osteoarthritis by using plain pelvic radiographs with deep learning methods

(2020) Kemal Üreten et al.   SKELETAL RADIOLOGY

Radiologic discrepancies in diagnosis of fractures in a Dutch teaching emergency department: a retrospective analysis

(2020) Laura Mattijssen-Horstink et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

(2020) Ling Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Hospital level variations in the trends and outcomes of the nonoperative management of splenic injuries – a nationwide cohort study

(2019) Chien-An Liao et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

(2019) Chi-Tung Cheng et al.   EUROPEAN RADIOLOGY

Diagnostic test accuracy of diabetic retinopathy screening by physician graders using a hand-held non-mydriatic retinal camera at a tertiary level medical clinic

(2019) Mapa Mudiyanselage Prabhath Nishant Piyasena et al.   BMC Ophthalmology

Hemostasis as soon as possible? The role of the time to angioembolization in the management of pelvic fracture

(2019) Chang-Hua Chou et al.   World Journal of Emergency Surgery

Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey

(2019) Norah Asiri et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Current applications and future directions of deep learning in musculoskeletal radiology

(2019) Pauley Chea et al.   SKELETAL RADIOLOGY

Artificial intelligence as an emerging technology in the current care of neurological disorders

(2019) Urvish K. Patel et al.   JOURNAL OF NEUROLOGY

Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

(2019) Anna Majkowska et al.   RADIOLOGY

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department

(2019) Eui Jin Hwang et al.   RADIOLOGY

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

(2019) Mr Amir Ebrahimighahnavieh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

(2018) Seok Won Chung et al.   Acta Orthopaedica

Artificial Intelligence in Medical Practice: The Question to the Answer?

(2018) D. Douglas Miller et al.   AMERICAN JOURNAL OF MEDICINE

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

(2018) Seong Ho Park et al.   RADIOLOGY

Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network

(2018) Takaaki Urakawa et al.   SKELETAL RADIOLOGY

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures

(2018) Matthew Adams et al.   Journal of Medical Imaging and Radiation Oncology

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

Deep neural network improves fracture detection by clinicians

(2018) Robert Lindsey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set

(2018) Karen Drukker et al.   RADIOLOGY

Preperitoneal pelvic packing reduces mortality in patients with life-threatening hemorrhage due to unstable pelvic fractures

(2017) Clay Cothren Burlew et al.   Journal of Trauma and Acute Care Surgery

Surgery for a fracture of the hip within 24 hours of admission is independently associated with reduced short-term post-operative complications

(2017) M. C. Fu et al.   Bone & Joint Journal

Preperitoneal pelvic packing reduces mortality in patients with life-threatening hemorrhage due to unstable pelvic fractures

(2017) Clay Cothren Burlew et al.   Journal of Trauma and Acute Care Surgery

Missed Injuries in Polytrauma Patients after Trauma Tertiary Survey in Trauma Intensive Care Unit

(2016) E. Tammelin et al.   Scandinavian Journal of Surgery