| Literature DB >> 29366600 |
Faiq Shaikh1, Benjamin Franc2, Erastus Allen3, Evis Sala4, Omer Awan5, Kenneth Hendrata6, Safwan Halabi7, Sohaib Mohiuddin8, Sana Malik9, Dexter Hadley10, Rasu Shrestha3.
Abstract
Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. More recently, the advancements in the field of quantitative image analysis coupled with machine learning-based data analytics, classification, and integration have ushered us into the era of radiomics, which has tremendous potential in clinical decision support as well as drug discovery. There are important issues to consider to incorporate radiomics as a clinically applicable system and a commercially viable solution. In this two-part series, we offer insights into the development of the translational pipeline for radiomics from methodology to clinical implementation (Part 1) and from that to enterprise development (Part 2).Entities:
Keywords: Radiomics; enterprise; medicine; precision; radiology; translational
Mesh:
Year: 2018 PMID: 29366600 PMCID: PMC7440362 DOI: 10.1016/j.jacr.2017.12.008
Source DB: PubMed Journal: J Am Coll Radiol ISSN: 1546-1440 Impact factor: 5.532