Paper Info
Title
Medical sieve: a cognitive assistant for radiologists and cardiologists.
Abstract
Radiologists and cardiologists today have to view large amounts of imaging data relatively quickly leading to eye fatigue. Further, they have only limited access to clinical information relying mostly on their visual interpretation of imaging studies for their diagnostic decisions. In this paper, we present Medical Sieve, an automated cognitive assistant for radiologists and cardiologists designed to help in their clinical decision-making. The sieve is a clinical informatics system that collects clinical, textual and imaging data of patients from electronic health records systems. It then analyzes multimodal content to detect anomalies if any, and summarizes the patient record collecting all relevant information pertinent to a chief complaint. The results of anomaly detection are then fed into a reasoning engine which uses evidence from both patient-independent clinical knowledge and large-scale patient-driven similar patient statistics to arrive at potential differential diagnosis to help in clinical decision making. In compactly summarizing all relevant information to the clinician per chief complaint, the system still retains links to the raw data for detailed review providing holistic summaries of patient conditions. Results of clinical studies in the domains of cardiology and breast radiology have already shown the promise of the system in differential diagnosis and imaging studies summarization.
Year
DOI
Venue
2016
10.1117/12.2217382
Proceedings of SPIE
Keywords
Field
DocType
Clinical Decision Support,Precision Medicine,Cognitive Assistant,Data Summarization,Differential Diagnosis
Anomaly detection,Data mining,Precision medicine,Raw data,Artificial intelligence,Clinical decision support system,Cognition,Computer vision,Automatic summarization,Semantic reasoner,Medical physics,Health informatics,Physics
Conference
Volume
ISSN
Citations 
9785
0277-786X
0
PageRank 
References 
Authors
0.34
0
23
Name
Order
Citations
PageRank
Tanveer Fathima Syeda-Mahmood144784.69
Eugene Walach210011.65
Beymer David342087.32
F. Gilboa-Solomon400.34
Mehdi Moradi521931.03
Pavel Kisilev69712.41
Deepika Kakrania700.68
Colin B. Compas8547.02
Hongzhi Wang964455.39
Mohammadreza Negahdar10144.55
Yu Cao1110014.01
T. Baldwin1200.34
Yufan Guo1316215.45
Yaniv Gur1412512.44
Rajan Deepta15306.55
Aviad Zlotnick16706.87
Simona Rabinovici-Cohen17758.14
Rami Ben-Ari188211.21
Guy Amit1921.41
P. Prasanna2000.34
J. Morey2100.34
Orest B. Boyko2200.34
Sharbell Y. Hashoul23131.58