[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review
A Choudhury, O Asan - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …
patients and thus influence patient safety outcomes. Objective: The purpose of this …
Machine learning in medicine: a practical introduction to natural language processing
CJ Harrison, CJ Sidey-Gibbons - BMC medical research methodology, 2021 - Springer
Background Unstructured text, including medical records, patient feedback, and social
media comments, can be a rich source of data for clinical research. Natural language …
media comments, can be a rich source of data for clinical research. Natural language …
[HTML][HTML] Toward an ecologically valid conceptual framework for the use of artificial intelligence in clinical settings: need for systems thinking, accountability, decision …
A Choudhury - JMIR Human Factors, 2022 - humanfactors.jmir.org
The health care management and the medical practitioner literature lack a descriptive
conceptual framework for understanding the dynamic and complex interactions between …
conceptual framework for understanding the dynamic and complex interactions between …
Automated labelling of radiology reports using natural language processing: Comparison of traditional and newer methods
SY Chng, PJW Tern, MRX Kan… - Health Care …, 2023 - Wiley Online Library
Automated labelling of radiology reports using natural language processing allows for the
labelling of ground truth for large datasets of radiological studies that are required for …
labelling of ground truth for large datasets of radiological studies that are required for …
[HTML][HTML] Strategies to address the lack of labeled data for supervised machine learning training with electronic health records: case study for the extraction of …
M Humbert-Droz, P Mukherjee… - JMIR medical …, 2022 - medinform.jmir.org
Background: Automated extraction of symptoms from clinical notes is a challenging task
owing to the multidimensional nature of symptom description. The availability of labeled …
owing to the multidimensional nature of symptom description. The availability of labeled …
A framework for safeguarding artificial intelligence systems within healthcare
A Choudhury - British journal of healthcare management, 2019 - magonlinelibrary.com
Artificial intelligence and augmented computing capabilities have long held the promise of
refining prediction and prognostication of diseases and events in healthcare (Centers for …
refining prediction and prognostication of diseases and events in healthcare (Centers for …
Using Systematized Nomenclature of Medicine clinical term codes to assign histological findings for prostate biopsies in the Gauteng province, South Africa: Lessons …
BACKGROUND: Prostate cancer (PCa) is a leading male neoplasm in South Africa
OBJECTIVE: The aim of our study was to describe PCa using Systemized Nomenclature of …
OBJECTIVE: The aim of our study was to describe PCa using Systemized Nomenclature of …