AIMC Topic: Artificial Intelligence

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Leveraging Retrieval Augmented Generation-Driven Large Language Models to Extract Dementia Agitation Symptoms and Triggers from Free-Text Nursing Notes.

Studies in health technology and informatics
Unstructured electronic health records are a rich source of patient-specific information but are challenging for analysis due to inconsistent terminology, diverse data formats, and extensive free-text content. To address this, we developed a named en...

Optimizing Nursing Records: Exploring the Impact of AI-Enhanced Documentation.

Studies in health technology and informatics
The standardization of medical records through structured templates has gained importance in improving the quality and safety of patient care. The results showed that missing rates ranged from 40.0% (fever reduction) to 43.9% (pain), while redundant ...

Generating Outpatient Progress Notes: A Comparison of Individualized and Generalized Models.

Studies in health technology and informatics
The increasing documentation workload in medical practice, particularly for clinical notes, has driven the development of AI-driven solutions. This study introduces an AI Doctor Assistant (DA) that generates drafts of outpatient progress notes. The D...

Evaluation of Synthetic Data Generation Methods for Medical Tabular Data: Representation of Distribution Tails.

Studies in health technology and informatics
Synthetic data generation by Artificial Intelligence (AI) and other means has the potential to share and analyze data while preserving privacy and maintaining statistical characteristics, and various methods have been developed. In medical datasets, ...

Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload.

Studies in health technology and informatics
The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation burden, contributing to burnout. Emerging technologies, such as ambient listening tools powered by generative AI, offer real-time, scribe-like document...

Advancing Patient-AI Conversations with Recursive Learning Memory Using Relational Frame Theory.

Studies in health technology and informatics
The future of Artificial General Intelligence (AGI) in bedside care relies on integrating human psychological principles to foster advanced cognitive abilities such as reasoning, problem-solving, and spatial awareness. Key features like recursive lea...

Designing a Healthcare Co-Pilot with Generative AI.

Studies in health technology and informatics
This paper presents our methodology for designing, testing, and evaluating a co-pilot tailored for healthcare professionals working in Spanish-speaking contexts. The co-pilot facilitates efficient access to textual information from clinical notes and...

Biased AI: A Case for Positive Bias in Healthcare AI.

Studies in health technology and informatics
Bias in artificial intelligence (AI) is a pervasive challenge, often reinforcing systemic inequities in healthcare systems. This paper proposes an innovative framework to repurpose bias in AI, leveraging it as a tool for addressing structural injusti...

[From the integration of the internet and medicine to the synergy of artificial intelligence and medicine: my perspective on "future medicine" and the development of medical education].

Zhonghua yi xue za zhi
On the occasion of the 110th anniversary of the Chinese Medical Association, this article reflects on the author's over six decades of experience in medical education, including leadership roles as president and dean at multiple medical schools, shar...

Machine Learning Model for Predicting Pathological Invasiveness of Pulmonary Ground-Glass Nodules Based on AI-Extracted Radiomic Features.

Thoracic cancer
BACKGROUND: With the widespread adoption of low-dose CT screening, the detection of pulmonary ground-glass nodules (GGNs) has risen markedly, presenting diagnostic challenges in distinguishing preinvasive lesions from invasive adenocarcinomas (IAC). ...