AIMC Topic: Academic Medical Centers
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Understanding the complexities of equity within the emergence and utilization of AI in academic medical centers.
The American journal of managed care
May 1, 2024
This editorial discusses positions for academic medical centers to consider when designing and implementing artificial intelligence (AI) tools.
Leveraging explainable artificial intelligence to optimize clinical decision support.
Journal of the American Medical Informatics Association : JAMIA
Apr 3, 2024
OBJECTIVE: To develop and evaluate a data-driven process to generate suggestions for improving alert criteria using explainable artificial intelligence (XAI) approaches.
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic...
Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning.
JAMA surgery
Feb 1, 2024
OBJECTIVE: To overcome limitations of open surgery artificial intelligence (AI) models by curating the largest collection of annotated videos and to leverage this AI-ready data set to develop a generalizable multitask AI model capable of real-time un...
Application of Natural Language Processing to Learn Insights on the Clinician's Lived Experience of Electronic Health Records.
Studies in health technology and informatics
Jan 14, 2022
We interviewed six clinicians to learn about their lived experience using electronic health records (EHR, Allscripts users) using a semi-structured interview guide in an academic medical center in New York City from October to November 2016. Each par...
Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).
Critical care medicine
Jan 1, 2022
OBJECTIVES: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a to...
Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.
Academic medicine : journal of the Association of American Medical Colleges
Jul 1, 2021
PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curriculum with frequent targeted assessment and feedback. Performance-based assessments, which have the strongest validity evidence, are currently not feasib...
Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of fa...
Computer Vision Analysis of Intraoperative Video: Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy.
Annals of surgery
Sep 1, 2019
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG).
A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.
The Journal of invasive cardiology
Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Academic Medical Centers
Multivariate Analysis
Risk Assessment
Propensity Score
Neoplasms
Humans
Female
Texas
Prevalence
Case-Control Studies
Machine Learning
Aged
Coronary Artery Disease
Retrospective Studies
Aged, 80 and over
Logistic Models
Cancer Care Facilities
Reference Values
Age Factors
Male
Sex Factors
Coronary Angiography
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