AIMC Topic: Interviews as Topic

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Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study.

Geriatric nursing (New York, N.Y.)
This phenomenological study explored the perspectives of geriatric nurses on the adoption of artificial intelligence (AI) in elderly care. Thematic analysis of semi-structured interviews with 17 nurses revealed perceived benefits, challenges, ethical...

Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews.

Frontiers in public health
BACKGROUND: Progress in developing artificial intelligence (AI) products represented by large language models (LLMs) such as OpenAI's ChatGPT has sparked enthusiasm for their potential use in mental health practice. However, the perspectives on the i...

Automated speech recognition bias in personnel selection: The case of automatically scored job interviews.

The Journal of applied psychology
Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to transcribe speech to text. However, ASR can be less accurate for (i.e., biased against) certain demographic subgroups. This is concerning, given that the ...

Perspectives and experiences of health sciences academics regarding ChatGPT: A qualitative study.

Medical teacher
PURPOSE: This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research.

How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments.

Public understanding of science (Bristol, England)
Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ...

Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial.

JMIR medical education
BACKGROUND: Medical interviewing is a critical skill in clinical practice, yet opportunities for practical training are limited in Japanese medical schools, necessitating urgent measures. Given advancements in artificial intelligence (AI) technology,...

Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research.

BMJ open
OBJECTIVES: To identify the barriers and facilitators to the successful implementation of imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in China, using the updated Consolidated Framework for Implementation Re...

Pharmacy Student Perceptions of Using AI-Based Interview Software (Big Interview) for Career Preparation.

American journal of pharmaceutical education
OBJECTIVE: The goal of this project was to understand the use of artificial intelligence-based interview software (Big Interview) for job interview preparation and its impact on pharmacy students' self-confidence and interview preparedness.

Navigating artificial intelligence in care homes: Competing stakeholder views of trust and logics of care.

Social science & medicine (1982)
The COVID-19 pandemic shed light on systemic issues plaguing care (nursing) homes, from staff shortages to substandard healthcare. Artificial Intelligence (AI) technologies, including robots and chatbots, have been proposed as solutions to such issue...

AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation.

JMIR nursing
BACKGROUND: Although the use of artificial intelligence (AI)-based technologies, such as AI-based decision support systems (AI-DSSs), can help sustain and improve the quality and efficiency of care, their deployment creates ethical and social challen...