AIMC Topic: Artificial Intelligence

Clear Filters Showing 20401 to 20410 of 26332 articles

LITERAS: Biomedical literature review and citation retrieval agents.

Computers in biology and medicine
BACKGROUND: Existing tools for reference retrieval using large language models (LLMs) frequently generate inaccurate, gray literature or fabricated citations, leading to poor accuracy. In this study, we aim to address this gap by developing a highly ...

Applying an Agile Science Roadmap to Integrate and Evaluate Ethical Frameworks Throughout the Lifecycle and Use of Artificial Intelligence Tools in the Intensive Care Unit.

Critical care nursing clinics of North America
This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ambient sensing technology, such as computer vision, and examines their application to improve patient outcomes in the intensive care unit (ICU). Inte...

Beyond accuracy: The need for explainable AI in biomedical voice technology.

Computers in biology and medicine
Speech and voice have emerged as valuable non-invasive biomarkers for detecting and monitoring a range of medical conditions, from neurodegenerative and respiratory diseases to psychiatric and emotional disorders. Recent advancements in artificial in...

AITom: AI-guided cryo-electron tomography image analyses toolkit.

Journal of structural biology
Cryo-electron tomography (cryo-ET) is an essential tool in structural biology, uniquely capable of visualizing three-dimensional macromolecular complexes within their native cellular environments, thereby providing profound molecular-level insights. ...

Artificial intelligence-enhanced 3D gait analysis with a single consumer-grade camera.

Journal of biomechanics
Gait analysis is crucial for diagnosing and monitoring various healthcare conditions, but traditional marker-based motion capture (MoCap) systems require expensive equipment, extensive setup, and trained personnel, limiting their accessibility in cli...

Generative AI for thematic analysis in a maternal health study: coding semistructured interviews using large language models.

Applied psychology. Health and well-being
STUDY OBJECTIVES: The coding of semistructured interview transcripts is a critical step for thematic analysis of qualitative data. However, the coding process is often labor-intensive and time-consuming. The emergence of generative artificial intelli...

Developmental toxicity: artificial intelligence-powered assessments.

Trends in pharmacological sciences
Regulatory agencies require comprehensive toxicity testing for prenatal drug exposure, including new drugs in development, to reduce concerns about developmental toxicity, that is, drug-induced toxicity and adverse effects in pregnant women and fetus...

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

SLAS technology
According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease, and its incidence rate is as high as 185/100,000 to 219/100,000. Continuous care can improve the quality of life of stroke patients and reduce the ra...

A new diagnostic method and tool for cutaneous leishmaniasis based on artificial intelligence techniques.

Computers in biology and medicine
BACKGROUND: Cutaneous leishmaniasis (CL) is a parasitic disease caused by protozoan parasites of the genus Leishmania, leading to significant morbidity in endemic regions. While effective, traditional diagnostic methods often suffer from limitations ...

Use of an Untrained Large Language Model for Antibiotic Prescription in Pediatric Infectious Diseases at Primary Care Settings: A Study From the Italian Society for Pediatric Infectious Diseases.

The Pediatric infectious disease journal
The development of artificial intelligence systems is revolutionizing many fields of medicine, but specific studies are still missing in pediatrics. In our study, we showed that an untrained free-to-use large language model provided reliable response...