AIMC Topic: Artificial Intelligence

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Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.

Introduction to Generative Artificial Intelligence: Contextualizing the Future.

Archives of pathology & laboratory medicine
CONTEXT.—: Generative artificial intelligence (GAI) is a promising new technology with the potential to transform communication and workflows in health care and pathology. Although new technologies offer advantages, they also come with risks that use...

Implications of Large Language Models for Clinical Practice: Ethical Analysis Through the Principlism Framework.

Journal of evaluation in clinical practice
INTRODUCTION: The potential applications of large language models (LLMs)-a form of generative artificial intelligence (AI)-in medicine and health care are being increasingly explored by medical practitioners and health care researchers.

Health system-wide access to generative artificial intelligence: the New York University Langone Health experience.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: The study aimed to assess the usage and impact of a private and secure instance of a generative artificial intelligence (GenAI) application in a large academic health center. The goal was to understand how employees interact with this tec...

Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To highlight the often overlooked role of user interface (UI) design in mitigating bias in artificial intelligence (AI)-based clinical decision support (CDS).

Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models.

Dento maxillo facial radiology
OBJECTIVES: To compare the performance of the convolutional neural network (CNN) with the vision transformer (ViT), and the gated multilayer perceptron (gMLP) in the classification of radiographic images of dental structures.

Application of artificial intelligence and machine learning for risk stratification acute kidney injury among hematopoietic stem cell transplantation patients: PCRRT ICONIC AI Initiative Group Meeting Proceedings.

Clinical nephrology
Acute kidney injury (AKI) is a frequent, severe complication of hematopoietic stem cell transplantation (HSCT) and is associated with an increased risk of morbidity and mortality. Recent advances in artificial intelligence (AI) and machine learning (...

Evaluating Use of Generative Artificial Intelligence in Clinical Pathology Practice: Opportunities and the Way Forward.

Archives of pathology & laboratory medicine
CONTEXT.—: Generative artificial intelligence (GAI) technologies are likely to dramatically impact health care workflows in clinical pathology (CP). Applications in CP include education, data mining, decision support, result summaries, and patient tr...