AIMC Topic: South Carolina

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Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project.

JMIR cancer Jun 10, 2025
The increasing demand for population-wide genomic screening and the limited availability of genetic counseling resources have created a pressing need for innovative service delivery models. Chatbots powered by large language models (LLMs) have shown ...
Humans Female Genetic Counseling South Carolina Neoplastic Syndromes, Hereditary Male Generative Artificial Intelligence Genetic Testing
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Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data.

Epidemics Apr 3, 2025
The lack of conventional methods of estimating real-time infectious disease burden in granular regions inhibits timely and efficient public health response. Comprehensive data sources (e.g., state health department data) typically needed for such est...
South Carolina Communicable Diseases SARS-CoV-2 Hospitalization Humans Machine Learning COVID-19
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The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center.

Scientific data Aug 2, 2024
Stroke is a leading cause of disability, and Magnetic Resonance Imaging (MRI) is routinely acquired for acute stroke management. Publicly sharing these datasets can aid in the development of machine learning algorithms, particularly for lesion identi...
South Carolina Female Aged Male Magnetic Resonance Imaging Ischemic Stroke Stroke Humans Machine Learning
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Deep-Learning-Based detection of recreational vessels in an estuarine soundscape in the May River, South Carolina, USA.

PloS one Jul 8, 2024
This paper presents a deep-learning-based method to detect recreational vessels. The method takes advantage of existing underwater acoustic measurements from an Estuarine Soundscape Observatory Network based in the estuaries of South Carolina (SC), U...
Humans Deep Learning Acoustics Ships South Carolina Sound Recreation Rivers Estuaries
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Use of machine learning approaches to predict transition of retention in care among people living with HIV in South Carolina: a real-world data study.

AIDS care Jun 4, 2024
Maintaining retention in care (RIC) for people living with HIV (PLWH) helps achieve viral suppression and reduce onward transmission. This study aims to identify the best machine learning model that predicts the RIC transition over time. Extracting f...
Retention in Care Anti-HIV Agents Support Vector Machine South Carolina Machine Learning Female Adult Male Middle Aged HIV Infections Humans
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Generative AI for thematic analysis in a maternal health study: coding semistructured interviews using large language models.

Applied psychology. Health and well-being Jun 1, 2025
STUDY OBJECTIVES: The coding of semistructured interview transcripts is a critical step for thematic analysis of qualitative data. However, the coding process is often labor-intensive and time-consuming. The emergence of generative artificial intelli...
Humans Maternal Health Large Language Models South Carolina Adult Artificial Intelligence Pregnancy Qualitative Research Female Interviews as Topic
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Using Machine Learning Techniques to Predict Viral Suppression Among People With HIV.

Journal of acquired immune deficiency syndromes (1999) Mar 1, 2025
BACKGROUND: This study aims to develop and examine the performance of machine learning (ML) algorithms in predicting viral suppression among statewide people living with HIV (PWH) in South Carolina.
Algorithms Female Adult Humans Machine Learning Viral Load South Carolina Male Middle Aged HIV Infections
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with unstructured patient dat...
Betacoronavirus Pneumonia, Viral Pandemics Organizational Case Studies COVID-19 Clinical Laboratory Techniques Humans Deep Learning Electronic Health Records Algorithms Neural Networks, Computer South Carolina ROC Curve SARS-CoV-2 Artificial Intelligence Coronavirus Infections Natural Language Processing Risk Assessment Telemedicine COVID-19 Testing
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Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the...
Chlorine Humans Mobile Applications Disaster Planning Mass Casualty Incidents Artificial Intelligence Triage Disasters Chemical Hazard Release Emergency Service, Hospital South Carolina
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