All Articles

Review Article 
General movement assessment by machine learning: why is it so difficult?
William Schmidt, Matthew Regan, Micheal Fahey, Andrew Paplinski
Journal of Medical Artificial Intelligence  
2019;
2:
15  
Artificial Intelligence and Gastrointestinal Cancer Column 
Introduction for the Artificial Intelligence and Gastrointestinal Cancer Column
Brandon J. Ten, Michael F. Byrne
Journal of Medical Artificial Intelligence  
2019;
2:
14  
Letter to the Editor 
Does artificial intelligence have any role in healthcare in low resource settings?
Zahra Hoodbhoy, Babar Hasan, Khan Siddiqui
Journal of Medical Artificial Intelligence  
2019;
2:
13  
Letter to the Editor 
The revolving door for AI and pathologists—docendo discimus?
Simone L. Van Es, Anant Madabhushi
Journal of Medical Artificial Intelligence  
2019;
2:
12  
Editorial Commentary 
Detecting colorectal polyps with use of artificial intelligence
Yuichi Mori, Shin-ei Kudo, Masashi Misawa
Journal of Medical Artificial Intelligence  
2019;
2:
11  
Editorial Commentary 
Artificial intelligence as another set of eyes in breast cancer diagnosis
Syed M. Anwar, Ulas Bagci
Journal of Medical Artificial Intelligence  
2019;
2:
10  
Review Article 
Artificial intelligence in radiation oncology treatment planning: a brief overview
Kendall J. Kiser, Clifton D. Fuller, Valerie K. Reed
Journal of Medical Artificial Intelligence  
2019;
2:
9  
Review Article 
A survey of pulmonary nodule detection, segmentation and classification in computed tomography with deep learning techniques
Jianrong Wu, Tianyi Qian
Journal of Medical Artificial Intelligence  
2019;
2:
8  
Editorial Commentary 
Application of artificial intelligence for the assessment of mucosal healing and inflammation
Andrzej S. Tarnawski, Amrita Ahluwalia
Journal of Medical Artificial Intelligence  
2019;
2:
7  
Editorial Commentary 
The potential contribution of artificial intelligence to dose reduction in diagnostic imaging of lung cancer
Alessandra Retico, Maria Evelina Fantacci
Journal of Medical Artificial Intelligence  
2019;
2:
6  
Perspective 
Big data in health and disease: re-processing information for discovery and validation
Roseanne Yeung, Enrico Capobianco
Journal of Medical Artificial Intelligence  
2019;
2:
5  
Editorial Commentary 
The future of anatomic pathology: deus ex machina?
Robin Lloyd Dietz, Liron Pantanowitz
Journal of Medical Artificial Intelligence  
2019;
2:
4  
Editorial 
Development of novel approaches to detect ovarian cancer recurrence
Aasa Shimizu, Kenjiro Sawada, Tadashi Kimura
Journal of Medical Artificial Intelligence  
2019;
2:
3  
Editorial 
Deep learning analysis of the myocardium in coronary computerized tomography angiography for identification significant coronary artery stenosis
Peerawut Deeprasertkul, Christopher Dailing, Matthew Budoff
Journal of Medical Artificial Intelligence  
2019;
2:
2  
Editorial 
Promises and limitations of deep learning for medical image segmentation
Christian S. Perone, Julien Cohen-Adad
Journal of Medical Artificial Intelligence  
2019;
2:
1  
Editorial 
Computer-aided diagnosis to differentiate colorectal polyps: are we nearing primetime?
Neal Shahidi, Michael F. Byrne
Journal of Medical Artificial Intelligence  
2018;
1:
13  
Editorial 
Can texture features computed from the joint intensity distribution of different MRI sequences accurately predict prostate cancer grade?
Vasilis Stavrinides, Lina Carmona Echeverria, Hayley C. Whitaker
Journal of Medical Artificial Intelligence  
2018;
1:
12  
Editorial 
Artificial intelligence and cardiovascular computed tomography
Paul Schoenhagen, Mathis Zimmermann
Journal of Medical Artificial Intelligence  
2018;
1:
11  
Editorial 
Using a radiomics-derived classifier to distinguish between lung adenocarcinomas and granulomas—where are we now?
David J. Murphy, Andrea Bille
Journal of Medical Artificial Intelligence  
2018;
1:
10  
Editorial 
Utilization of electronic healthcare records for advancement of medical knowledge
Zhongheng Zhang
Journal of Medical Artificial Intelligence  
2018;
1:
9  
Perspective 
Machine learning and serious games: opportunities and requirements for detection of mild cognitive impairment
Kyle Leduc-McNiven, Ryan T. Dion, Shamir N. Mukhi, Robert D. McLeod, Marcia R. Friesen
Journal of Medical Artificial Intelligence  
2018;
1:
7  
Editorial 
Making deep learning models transparent
Lujia Chen, Xinghua Lu
Journal of Medical Artificial Intelligence  
2018;
1:
5