All Articles

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  
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