AIMC Topic: Artificial Intelligence

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A Comprehensive System for Searching and Evaluating Genomic Variant Evidence Using AI and Knowledge Bases to Support Personalized Medicine.

AMIA ... Annual Symposium proceedings. AMIA Symposium
We introduce an innovative automated system for the search and assessment of genetic variant evidence, meticulously aligned with ACMG guidelines. Leveraging the synergistic power of artificial intelligence (AI), elastic search, and an extensive knowl...

RDguru: An Intelligent Agent for Rare Diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Large language models (LLMs) have shown great promise in clinical medicine, but their adoption in real-world settings has been limited by their tendency to generate incorrect and sometimes even toxic statements. This study presents a reliable rare di...

Integrating AI into Clinical Workflows: A Simulation Study on Implementing AI-aided Same-day Diagnostic Testing Following an Abnormal Screening Mammogram.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Artificial intelligence (AI) shows promise in clinical tasks, yet its integration into workflows remains underexplored. This study proposes an AI-aided same-day diagnostic imaging workup to reduce recall rates following abnormal screening mammograms ...

The Ultimate Assistant: How AI Can Optimize Treatment for Cardiology Patients.

IEEE pulse
Artificial intelligence (AI) is becoming all-pervasive, impacting our lives in ways that are sometimes visible, but at other times hidden. Algorithms that learn from data-be it consumer preferences, medical imaging data, or any other dataset-are infl...

Neurocyberethics, a new and pertinent approach to neuroethics.

Gaceta medica de Mexico
Ethics in neuroscience presents an evolutionary development that has required a more punctual attention, from the knowledge of functional neuroimaging that defines the structures related to the emotions and cognitive functions. Systematic review in P...

AI Tools in Medical Education: Some Assembly Required.

South Dakota medicine : the journal of the South Dakota State Medical Association
As artificial intelligence (AI) tools begin to integrate into medical education, it is crucial to reexamine beliefs about the role AI will play in physicians' training and practice. From our experience as medical students, we have learned that innova...

Applications of Artificial Intelligence and Machine Learning in Emergency Medicine Triage - A Systematic Review.

Medical archives (Sarajevo, Bosnia and Herzegovina)
BACKGROUND: Overcrowding in Emergency departments adversely impacts efficiency, patient outcomes, and resource allocation. Accurate triage systems are essential for prioritizing care and optimizing resources. While traditional methods provide a found...

A comparative analysis of GPT-3.5 and GPT-4.0 on a multiple-choice ophthalmology question bank: A study on artificial intelligence developments.

Romanian journal of ophthalmology
INTRODUCTION: To evaluate the performance of ChatGPT-4.0 and ChatGPT-3.5 in answering multiple-choice questions in OphthoQuestions (www.ophthoquestions.com), a popular question preparation bank, and to compare the performance of GPT-4.0 and GPT-3.5.

The Added Effect of Artificial Intelligence in CT Assessment of Abdominal Lymphadenopathy.

Lymphology
Lymphadenopathy is associated with lymph node abnormal size or consistency due to many causes. We employed the deep convolutional neural network ResNet-34 to detect and classify CT images from patients with abdominal lymphadenopathy and healthy contr...

Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges.

Turk psikiyatri dergisi = Turkish journal of psychiatry
Mental disorders are a critical global public health problem due to their increasing prevalence, rising costs, and significant economic burden. Despite efforts to increase the mental health workforce in Türkiye, there is a significant shortage of psy...