Cohortgpt: An enhanced gpt for participant recruitment in clinical study

Z Guan, Z Wu, Z Liu, D Wu, H Ren, Q Li, X Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Participant recruitment based on unstructured medical texts such as clinical notes and
radiology reports has been a challenging yet important task for the cohort establishment in …

[HTML][HTML] Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep …

Z Gao, X Liu, Y Kang, P Hu, X Zhang, W Yan… - Journal of Medical …, 2024 - jmir.org
Background Clinical notes contain contextualized information beyond structured data
related to patients' past and current health status. Objective This study aimed to design a …

[HTML][HTML] Predicting COVID-19 symptoms from free text in medical records using artificial intelligence: Feasibility study

J Van Olmen, J Van Nooten, H Philips… - JMIR medical …, 2022 - medinform.jmir.org
Background Electronic medical records have opened opportunities to analyze clinical
practice at large scale. Structured registries and coding procedures such as the International …

Leveraging large language models for medical text classification: a hospital readmission prediction case

N Nazyrova, S Chahed… - The IEEE 14th …, 2024 - westminsterresearch.westminster.ac …
In recent years, the intersection of natural language processing (NLP) and healthcare
informatics has witnessed a revolutionary transformation. One of the most groundbreaking …

Artificial Intelligence-Based Medical Device Technologies Implementation Strategies in the Nigerian Health Care Industry

OC Iheme - 2023 - search.proquest.com
Artificial intelligence (AI)-based medical device technologies can aid medical professionals
in delivering faster and more accurate treatment, but health care leaders are concerned with …