AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 211 to 220 of 493 articles

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis prediction algorithms using systematic methods, identify implementation barriers, enablers, and key decisions and then map these to a novel end-to-end c...

Synthetic seismocardiogram generation using a transformer-based neural network.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To design and validate a novel deep generative model for seismocardiogram (SCG) dataset augmentation. SCG is a noninvasively acquired cardiomechanical signal used in a wide range of cardivascular monitoring tasks; however, these approaches...

quEHRy: a question answering system to query electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We propose a system, quEHRy, to retrieve precise, interpretable answers to natural language questions from structured data in electronic health records (EHRs).

ENRICHing medical imaging training sets enables more efficient machine learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Deep learning (DL) has been applied in proofs of concept across biomedical imaging, including across modalities and medical specialties. Labeled data are critical to training and testing DL models, but human expert labelers are limited. In...

Could an artificial intelligence approach to prior authorization be more human?

Journal of the American Medical Informatics Association : JAMIA
Prior authorization (PA) may be a necessary evil within the healthcare system, contributing to physician burnout and delaying necessary care, but also allowing payers to prevent wasting resources on redundant, expensive, and/or ineffective care. PA h...

How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: There is increasing interest in using artificial intelligence (AI) in pathology to improve accuracy and efficiency. Studies of clinicians' perceptions of AI have found only moderate acceptability, suggesting further research is needed rega...

A deep learning approach to identify missing is-a relations in SNOMED CT.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: SNOMED CT is the largest clinical terminology worldwide. Quality assurance of SNOMED CT is of utmost importance to ensure that it provides accurate domain knowledge to various SNOMED CT-based applications. In this work, we introduce a deep...

Using artificial intelligence to improve pain assessment and pain management: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and t...

POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: For the UK Biobank, standardized phenotype codes are associated with patients who have been hospitalized but are missing for many patients who have been treated exclusively in an outpatient setting. We describe a method for phenotype recog...

Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Machine learning (ML) has the potential to facilitate "continual learning" in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this arti...