AIMC Topic: Models, Organizational

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Special Considerations for Integrating Artificial Intelligence Solutions in Urban Safety-Net Hospitals.

Journal of the American College of Radiology : JACR Jan 1, 2020
Humans Artificial Intelligence Radiology Department, Hospital Models, Organizational Safety-net Providers Organizational Innovation Hospitals, Urban
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Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.

Journal of Parkinson's disease Jan 1, 2020
Clinical decision making for Parkinson's disease patients is supported by a combination of three distinct information resources: best available scientific evidence, professional expertise, and the personal needs and preferences of patients. All three...
Humans Machine Learning Precision Medicine Clinical Decision-Making Big Data Parkinson Disease Evidence-Based Medicine Models, Organizational Patient Preference Decision Making, Shared
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Co-Principal Investigators And Co-Directors: Benefits of a Scientific Copilot.

The Physiologist May 1, 2016
Humans Authorship Biomedical Research Research Personnel Models, Organizational Cooperative Behavior Interpersonal Relations Job Description Laboratory Personnel Mentors
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A Decision Fusion Framework for Treatment Recommendation Systems.

Studies in health technology and informatics Jan 1, 2015
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trai...
Machine Learning Decision Support Techniques Electronic Health Records Decision Support Systems, Clinical Natural Language Processing Data Mining Expert Systems Therapy, Computer-Assisted Models, Organizational Knowledge Management
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Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...
Machine Learning Electronic Health Records United States Natural Language Processing Data Mining Pattern Recognition, Automated Vocabulary, Controlled Models, Organizational
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