id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
biht-176	Witowski, Jan; Choi, Jongmun ; Jeon, Soomin; Kim, Doyun; Chung, Joowon; Conklin, John; Figueiro Longo, Maria Gabriela ; Succi, Marc D.; Do, Synho	MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research	2021	9	.pdf	application/pdf	5762	310	48	The platform is publicly available for testing on https://markit.mgh.harvard.edu. Keywords: artificial intelligence; data annotation; learning from crowds; blockchain; rewarding system Received: 26 February 2021; Accepted: 24 March 2021; Revised: 24 March 2021; Published: 22 June 2021 As the field of supervised machine learning (ML) and artificial intelligence (AI) becomes more ma- ture, researchers working on medical ML or AI aim to integrate more data to improve their models, as opposed to merely changes in the algorithm architecture (1–3). The main module for image annotation consists of a simple Digital Imaging and Communications in Med- icine (DICOM) viewer and labeling tools.	cache/biht-176.pdf	txt/biht-176.txt