AIMC Topic: Artificial Intelligence

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Real-world evaluation of the accuracy of the Viz.AI automated intracranial hemorrhage volume calculation tool.

Journal of neurointerventional surgery
BACKGROUND: Appropriate management of spontaneous intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) requires rapid, accurate volume estimation. Viz.AI has developed an artificial intelligence (AI)-powered ICH calculation tool that ...

Artificial intelligence and academic writing questionnaire (AI-AWQ): development and validation among medical students' experiences using exploratory factor analysis.

BMC medical education
INTRODUCTION: This study aimed to develop and validate the Artificial Intelligence and Academic Writing Questionnaire (AI-AWQ) to assess participants' perceptions with AI. The primary focus was to explore the factors that influence attitudes toward A...

AI-powered epidemic control: Deepseek's role in global health resilience.

Journal of translational medicine
DeepSeek, an AI-driven platform, revolutionizes epidemic management through early warning systems, trend prediction, treatment optimization, and public consultation. By integrating multi-source real-time data (epidemiological, social media, mobility)...

Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes.

JMIR dermatology
BACKGROUND: The integration of artificial intelligence (AI) into dermatology holds promise for education and diagnostic purposes, particularly through image generation, which has not been well studied.

Generative AI Mental Health Chatbots as Therapeutic Tools: Systematic Review and Meta-Analysis of Their Role in Reducing Mental Health Issues.

Journal of medical Internet research
BACKGROUND: In recent years, artificial intelligence (AI) has driven the rapid development of AI mental health chatbots. Most current reviews investigated the effectiveness of rule-based or retrieval-based chatbots. To date, there is no comprehensive...

Incorporating Generative AI Into a Health Informatics Curriculum to Build 21st Century Competencies: Multisite Pre-Post Study.

JMIR medical informatics
BACKGROUND: We designed learning assignments for students to develop knowledge, skills, and professional attitudes about generative artificial intelligence (AI) in 2 different Master's level courses in health informatics. Our innovative approach assu...

Diagnostic performance of four AI tools in pharmacology MCQs: Accuracy, sensitivity, and specificity.

PloS one
BACKGROUND: The rapid rise of AI in medical and pharmaceutical education has engendered much interest; however, a knowledge gap still exists in the evaluation of performances of these tools in critical academic contexts.

A novel prediction approach of three-dimensional thermal fatigue cracks in thermal compression bonding electrodes based on digital twin.

PloS one
Thermal compression bonding (TCB) electrodes that initiate thermal fatigue cracks compromise reliability and takt time in electronic manufacturing, and accurate prediction of three-dimensional (3D) electrode cracks is a prerequisite for crack mitigat...

Preparing Doctoral Nurse Leaders to Champion Artificial Intelligence in Nursing Education.

Journal of doctoral nursing practice
Artificial intelligence (AI) presents transformative opportunities in nursing education, particularly in Doctor of Nursing Practice (DNP) programs, where preparing graduates for technology-enhanced clinical practice is essential. However, faculty fa...

Reimagining Graduate Study With Generative Artificial Intelligence-Supported Study Strategies: A Doctor of Nursing Practice Student's Perspective.

Journal of doctoral nursing practice
Artificial intelligence (AI) is transforming higher education by offering accessible tools that enhance comprehension and efficiency. While AI use in clinical decision-making is expanding, little research explores how Doctor of Nursing Practice (DNP...