AIMC Topic: Referral and Consultation
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Re: Phene et al.: Deep learning and glaucoma specialists: the relative importance of optic disc features to predict glaucoma referral in fundus photographs (Ophthalmology. 2019;126:1627-1639).
Ophthalmology
Aug 1, 2020
Dr. Agent: Clinical predictive model via mimicked second opinions.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2020
OBJECTIVE: Prediction of disease phenotypes and their outcomes is a difficult task. In practice, patients routinely seek second opinions from multiple clinical experts for complex disease diagnosis. Our objective is to mimic such a practice of seekin...
Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.
Annals of the American Thoracic Society
Mar 1, 2020
Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack confidence for this task or worry about errors. Well-led IHCA resuscitation teams deliver better care, but expert resuscitation leaders are often unavai...
[Automatic keyword retrieval from clinical texts: an application of natural language processing to massive data of Chilean suspected diagnosis].
Revista medica de Chile
Oct 1, 2019
BACKGROUND: Free-text imposes a challenge in health data analysis since the lack of structure makes the extraction and integration of information difficult, particularly in the case of massive data. An appropriate machine-interpretation of electronic...
Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.
Journal of the American College of Radiology : JACR
Sep 1, 2019
Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing clinical decision support (CDS) tools to improve patient safety and drive value-based imaging. We discuss the advantages and potential applications that ...
Re: Removing the Urinary Catheter on Post-Operative Day 2 after Robot-Assisted Laparoscopic Radical Prostatectomy: A Feasibility Study from a Single High-Volume Referral Centre.
The Journal of urology
Apr 1, 2019
Randomized controlled trial of an online machine learning-driven risk assessment and intervention platform for increasing the use of crisis services.
Journal of consulting and clinical psychology
Apr 1, 2019
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...
Deep Learning in Medicine. Are We Ready?
Annals of the Academy of Medicine, Singapore
Jan 1, 2019
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