AIMC Topic: Artificial Intelligence

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The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Current Clinical Decision Support Systems (CDSSs) generate medication alerts that are of limited clinical value, causing alert fatigue. Artificial Intelligence (AI)-based methods may help in optimizing medication alerts. Therefore, we cond...

Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To compare performances of a classifier that leverages language models when trained on synthetic versus authentic clinical notes.

Ensuring useful adoption of generative artificial intelligence in healthcare.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This article aims to examine how generative artificial intelligence (AI) can be adopted with the most value in health systems, in response to the Executive Order on AI.

Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts.

The Need for Artificial Intelligence Curriculum in Military Medical Education.

Military medicine
The success of deep-learning algorithms in analyzing complex structured and unstructured multidimensional data has caused an exponential increase in the amount of research devoted to the applications of artificial intelligence (AI) in medicine in the...

A Case for Caution: Patient Use of Artificial Intelligence.

Clinical journal of oncology nursing
Artificial intelligence use is increasing exponentially, including by patients in medical decision- making. Because of the limitations of chatbots and the possibility of receiving erroneous or incomplete information, patient.

The Risks and Challenges of Artificial Intelligence in Endocrinology.

The Journal of clinical endocrinology and metabolism
Artificial intelligence (AI) holds the promise of addressing many of the numerous challenges healthcare faces, which include a growing burden of illness, an increase in chronic health conditions and disabilities due to aging and epidemiological chang...

Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities.

The Journal of clinical endocrinology and metabolism
In endocrinology, the types and quantity of digital data are increasing rapidly. Computing capabilities are also developing at an incredible rate, as illustrated by the recent expansion in the use of popular generative artificial intelligence (AI) ap...

Ethical considerations for artificial intelligence in dermatology: a scoping review.

The British journal of dermatology
The field of dermatology is experiencing the rapid deployment of artificial intelligence (AI), from mobile applications (apps) for skin cancer detection to large language models like ChatGPT that can answer generalist or specialist questions about sk...