AIMC Topic: Artificial Intelligence

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Artificial Intelligence-Assisted Scribing for Chronic Pain Care: A Narrative Review.

Current pain and headache reports
PURPOSE OF REVIEW: Medical documentation is a significant pillar of healthcare, enabling quality care, legal protection, billing and reimbursement, and collaboration between physicians. However, it is time-consuming and resource-intensive, posing a s...

Imaging pathways in spondyloarthritis: integrating radiography, ultrasonography, magnetic resonance imaging, low-dose computed tomography, and artificial intelligence methods : Radiology and AI in SpA.

Rheumatology international
Spondyloarthritis (SpA) refers to a family of chronic inflammatory rheumatic conditions characterized by axial and/or peripheral manifestations. Early detection of SpA is crucial for improving long-term patient outcomes and necessitates a refined dia...

Systematic evaluation of deepseek in urolithiasis: from medical knowledge to clinical decision support.

World journal of urology
BACKGROUND: Large language models (LLMs), such as ChatGPT, have demonstrated promising potential in medical knowledge retrieval and clinical decision support. DeepSeek, a China-developed model released in 2025, has been proposed as a medical AI tool,...

New insights into automatic treatment planning for cancer radiotherapy using explainable artificial intelligence.

Physics in medicine and biology
This study aims to uncover the opaque decision-making process of an artificial intelligence (AI) agent for automatic treatment planning.We examined a previously developed AI agent based on the actor-critic with experience replay (ACER) network, which...

Leveraging Artificial Intelligence to Enhance Screening, Brief Intervention, and Referral to Treatment Training for Psychiatric Mental Health Nurse Practitioner Students: A Case Study and Future Directions for Virtual Reality Integration.

Journal of doctoral nursing practice
Psychiatric mental health nurse practitioners (PMHNPs) play a vital role in addressing substance use disorders, particularly in underserved regions. This article aimed to explore the effectiveness of artificial intelligence (AI)-generated Screening...

Towards a practical tool to identify genotype using high-speed videomicroscopy.

Thorax
The diagnosis of primary ciliary dyskinesia (PCD) can be challenging in patients with mutations in the gene, despite using electron microscopy tomography and ciliary motion analysis. Also, mutational analysis is hindered by a paralogous copy of the ...

Neural network for natural language processing to determine treatment urgency in an ophthalmology emergency department.

The British journal of ophthalmology
BACKGROUND: In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial intelligence to develop a neural network and evaluate it...

Physician assessment, comparative abilities and artificial intelligence: implications for informed consent.

Journal of medical ethics
While artificial intelligence's (AI's) potential role in enhancing diagnostic accuracy and personalising treatment is well-recognised, its application in evaluating physicians raises critical ethical concerns as well. The paper examines the impact of...

Lessons from : a confucian-inspired approach to global bioethics.

Journal of medical ethics
This paper asks how bioethics navigates, and should navigate, value pluralism in the increasingly global spaces in which bioethics operates. We juxtapose the ethical approaches suggested by East Asian societies, drawing primarily on Confucian ethics,...

The ethics of using virtual assistants to help people in vulnerable positions access care.

Journal of medical ethics
People in vulnerable positions who need support in their daily lives often face challenges in receiving timely access to care; for instance, due to disabilities or individual and situational vulnerabilities. There has been an increasing turn to techn...