AIMC Topic: Artificial Intelligence

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Policy Library Redundancy Analysis Using K-means Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This capstone project investigates the application of artificial intelligence (AI) techniques, specifically sentence embedding and k-means clustering using large language models, to address the challenge of policy library redundancy within a healthca...
Natural Language Processing Artificial Intelligence Humans Cluster Analysis
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Artificial Intelligence-assisted Biomedical Literature Knowledge Synthesis to Support Decision-making in Precision Oncology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The delivery of effective targeted therapies requires comprehensive analyses of the molecular profiling of tumors and matching with clinical phenotypes in the context of existing knowledge described in biomedical literature, registries, and knowledge...
Humans Information Storage and Retrieval Artificial Intelligence Neoplasms Natural Language Processing Precision Medicine Medical Oncology
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Enhancement of Fairness in AI for Chest X-ray Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The use of artificial intelligence (AI) in medicine has shown promise to improve the quality of healthcare decisions. However, AI can be biased in a manner that produces unfair predictions for certain demographic subgroups. In MIMIC-CXR, a publicly a...
Artificial Intelligence Humans Radiography, Thoracic
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Where do doctors disagree? Characterizing Decision Points for Safe Reinforcement Learning in Choosing Vasopressor Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
In clinical settings, domain experts sometimes disagree on optimal treatment actions. These "decision points" must be comprehensively characterized, as they offer opportunities for Artificial Intelligence (AI) to provide statistically informed recomm...
Vasoconstrictor Agents Artificial Intelligence Clinical Decision-Making Humans
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Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Successful integration of Generative Artificial Intelligence (AI) into healthcare requires understanding of health professionals' perspectives, ideally through data-driven approaches. In this study, we use a semi-structured survey and mixed methods a...
Generative Artificial Intelligence Humans Artificial Intelligence Attitude of Health Personnel Surveys and Questionnaires Workflow
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Enhancing Patient Medication Safety at Home: A Patient-Facing Technology Architecture Integrating REDCap, Visualization Dashboards, and an AI- Driven Chatbot.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This work demonstrates a novel architecture for a patient-facing technology (PFT) that supports patients with cancer in self-managing medication concerns and symptoms after care transitions back home. Patient-generated data are collected and stored u...
Generative Artificial Intelligence Home Care Services Neoplasms User-Computer Interface Self Care Humans Artificial Intelligence Patient Safety Electronic Health Records
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Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study investigates the use of ChatGPT to support clinical teams with limited expertise in generating synthetic data for breast cancer research. It assesses ChatGPT's application, focusing on effective prompting and best practices for creating hi...
Female Breast Neoplasms Machine Learning Biomedical Research Humans Artificial Intelligence
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A Comparison of LLMs for Use in Generating Synthetic Test Data for Automated Testing of a Patient-Focused, Survey-Based System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
In the context of a patient-focused, survey-based system, we demonstrated the potential of generative AI to create custom synthetic data using 2 different large language models (GPT 3.5 and Flan T5-XL) in AWS and Azure environments. While we improved...
Artificial Intelligence Surveys and Questionnaires Humans Patient-Centered Care Natural Language Processing Programming Languages
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Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chronic Kidney Disease (CKD) to End-Stage Renal Disease (ESRD). We analyze ...
Deep Learning Kidney Failure, Chronic Disease Progression Humans Artificial Intelligence Machine Learning Insurance Claim Review Male
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A Generative Foundation Model for Structured Patient Trajectory Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Advancements in artificial intelligence propelled the implementation of general-purpose multitasking agents called foundation models. However, it has been challenging for foundation models to handle structured longitudinal medical data due to the mix...
Artificial Intelligence Electronic Health Records Humans
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