All Articles

Original Article 
Building a COVID-19 vulnerability index
Dave DeCaprio, Joseph Gartner, Carol J. McCall, Thadeus Burgess, Kristian Garcia, Sarthak Kothari, Shaayaan Sayed
Journal of Medical Artificial Intelligence  
2020;
3:
15  
Review Article 
Physician-assist automated AI lung cancer detection: a narrative review
Kaviya Sathyakumar, Michael Munoz, Snehal Bansod, Jaikaran Singh, Benson A. Babu
Journal of Medical Artificial Intelligence  
2020;
3:
14  
Review Article 
Interpretative applications of artificial intelligence in musculoskeletal imaging: concepts, current practice, and future directions
Teresa T. Martin-Carreras, Hongming Li, Po-Hao Chen
Journal of Medical Artificial Intelligence  
2020;
3:
13  
Editorial 
Artificial intelligence in medicine: is the genie out of the bottle?
Bruce Wilder
Journal of Medical Artificial Intelligence  
2020;
3:
12  
Editorial 
AI’s role in deep space
Nora M. Haney, Alexandra Urman, Tayab Waseem, Yvonne Cagle, José M. Morey
Journal of Medical Artificial Intelligence  
2020;
3:
11  
Review Article 
Impact of machine learning and feature selection on type 2 diabetes risk prediction
Päivi Riihimaa
Journal of Medical Artificial Intelligence  
2020;
3:
10  
Original Article 
Improving radiograph analysis throughput through transfer learning and object detection
Jenna A. Bilbrey, Edgar F. Ramirez, Juan Brandi-Lozano, Chitra Sivaraman, Joshua Short, Isaac D. Lewis, Brian D. Barnes, Lewis G. Zirkle
Journal of Medical Artificial Intelligence  
2020;
3:
9  
Original Article 
Developing an app to interpret chest X-rays to support the diagnosis of respiratory pathology with artificial intelligence
Andrew Elkins, Felipe F. Freitas, Verónica Sanz
Journal of Medical Artificial Intelligence  
2020;
3:
8  
Letter to the Editor 
Machine learning can accelerate discovery and application of cyber-molecular cancer diagnostics
David S. Campo, Yury Khudyakov
Journal of Medical Artificial Intelligence  
2020;
3:
7  
Review Article 
A systematic literature review of predicting diabetic retinopathy, nephropathy and neuropathy in patients with type 1 diabetes using machine learning
Qingqing Xu, Liye Wang, Sujit S. Sansgiry
Journal of Medical Artificial Intelligence  
2020;
3:
6  
Review Article 
The promise of quantitative phase imaging and machine learning in medical diagnostics: a review
Yaw Ansong Jnr
Journal of Medical Artificial Intelligence  
2020;
3:
5  
Technical Report 
Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography
James P. Howard, Jeremy Tan, Matthew J. Shun-Shin, Dina Mahdi, Alexandra N. Nowbar, Ahran D. Arnold, Yousif Ahmad, Peter McCartney, Massoud Zolgharni, Nick W. F. Linton, Nilesh Sutaria, Bushra Rana, Jamil Mayet, Daniel Rueckert, Graham D. Cole, Darrel P. Francis
Journal of Medical Artificial Intelligence  
2020;
3:
4  
Original Article 
The top 100 most cited articles in medical artificial intelligence: a bibliometric analysis
Subhashaan Sreedharan, Mustafa Mian, Ross A. Robertson, Natalie Yang
Journal of Medical Artificial Intelligence  
2020;
3:
3  
Original Article 
Understanding stroke with Bayesian networks
Robert O’Shea
Journal of Medical Artificial Intelligence  
2020;
3:
2  
Editorial 
Data annotators are the unsung heroes of medicine’s artificial intelligence revolution
Bertalan Meskó
Journal of Medical Artificial Intelligence  
2020;
3:
1  
Editorial Commentary 
Setting patterns and predicting: the role of artificial intelligence in synthetic and natural promoter screening
Ananda Sanches-Medeiros, Leonardo Martins-Santana, Rafael Silva-Rocha
Journal of Medical Artificial Intelligence  
2019;
2:
25  
News 
Application of the CARE guideline as reporting standard in the Journal of Medical Artificial Intelligence
Editorial Office
Journal of Medical Artificial Intelligence  
2019;
2:
24  
Editorial: Artificial Intelligence and Gastrointestinal Cancer Column 
Gastroenterology needs its own ImageNet
Fons van der Sommen
Journal of Medical Artificial Intelligence  
2019;
2:
23  
Editorial Commentary 
Deep learning application in the oesophageal endoscopy
Shigeru Kiryu, Hiroyuki Akai, Koichiro Yasaka
Journal of Medical Artificial Intelligence  
2019;
2:
22  
Editorial Commentary 
The prospect of artificial intelligence in the differential diagnosis of pancreatic cysts
Marco Montorsi, Giovanni Capretti
Journal of Medical Artificial Intelligence  
2019;
2:
21  
Original Article 
Machine learning of retinal pathology in optical coherence tomography images
Pushkar Aggarwal
Journal of Medical Artificial Intelligence  
2019;
2:
20  
Editorial Commentary 
Toward the transparency of deep learning in radiological imaging: beyond quantitative to qualitative artificial intelligence
Yoichi Hayashi
Journal of Medical Artificial Intelligence  
2019;
2:
19  
Editorial 
Artificial intelligence and colorectal polyp detection
Brandon J. Teng, Michael F. Byrne18
Journal of Medical Artificial Intelligence  
2019;
2:
18  
Editorial Commentary 
Liquid biopsies and the promise of what might(o) be
Jordan A. Mandel, Edward V. Prochownik
Journal of Medical Artificial Intelligence  
2019;
2:
17  
Review Article: Artificial Intelligence and Gastrointestinal Cancer Column 
Artificial intelligence for colorectal polyp detection: are we ready for prime time?
Omer F. Ahmad, Laurence B. Lovat
Journal of Medical Artificial Intelligence  
2019;
2:
16