PACS-based multimedia imaging informatics: third edition (Conference Presentation)

2018 ◽  
Author(s):  
H.K. Bernie Huang
Keyword(s):  
Imaging Informatics

scholarly journals Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
J. Raymond Geis ◽  
Adrian Brady ◽  
Carol C. Wu ◽  
Jack Spencer ◽  
Erik Ranschaert ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
European Society ◽  
Common Good ◽  
Autonomous Systems ◽  
Codes Of Ethics ◽  
Well Being ◽  
Imaging Informatics ◽  
Financial Gain ◽  
Canadian Association ◽  
Ultimate Responsibility

Abstract This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence, and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI which promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.

scholarly journals Section 4: Sensor, Signal and Imaging Informatics: Sensors, Medical Image and Signal Processing

2006 ◽  
Vol 15 (01) ◽  
pp. 70-73
Author(s):  
R.W Westphal ◽  
Keyword(s):  
Medical Image ◽  
Selection Process ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Tissue Modeling ◽  
Excellent Research ◽  
Body Sensors ◽  
Selection For ◽  
Soft Tissue Modeling ◽  
Future Patient

SummaryObjectives:To summarize current excellent research in the field of sensor, signal and imaging informatics.Method:Synopsis of the articles selected for the IMIA Yearbook 2007.Results:The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.Conclusion:The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-124
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

scholarly journals Medical Imaging Informatics: Towards a Personalized Computational Patient

2016 ◽  
Vol 25 (S 01) ◽  
pp. S8-S9 ◽  
Author(s):  
N. Ayache
Keyword(s):  
Medical Imaging ◽  
Imaging Informatics ◽  
Medical Practices ◽  
Computational Sciences ◽  
Medical Imaging Informatics

SummaryMedical Imaging Informatics has become a fast evolving discipline at the crossing of Informatics, Computational Sciences, and Medicine that is profoundly changing medical practices, for the patients’ benefit.

Integrated Imaging Informatics

2006 ◽  
pp. 57-78 ◽  
Author(s):  
Bahram Parvin ◽  
Qing Yang ◽  
Gerald Fontenay ◽  
Mary Helen Barcellos-Hoff
Keyword(s):  
Imaging Informatics
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