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Qualitative Research

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Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives.

BMJ open
OBJECTIVES: Artificial intelligence (AI) is a rapidly developing field in healthcare, with tools being developed across various specialties to support healthcare professionals and reduce workloads. It is important to understand the experiences of pro...

Artificial Intelligence Augmented Qualitative Analysis: The Way of the Future?

Qualitative health research
The artificial intelligence (AI) revolution is here and gathering momentum, thanks to new models of natural language processing (NLP) and rapidly increasing adoption by the public. NLP technology uses statistical analysis of language structures to an...

Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning: A Qualitative Study.

JAMA network open
IMPORTANCE: The lack of data quality frameworks to guide the development of artificial intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in health care and hinders the diagnostic excellence of developed clin...

Spirometry services in England post-pandemic and the potential role of AI support software: a qualitative study of challenges and opportunities.

The British journal of general practice : the journal of the Royal College of General Practitioners
BACKGROUND: Spirometry services to diagnose and monitor lung disease in primary care were identified as a priority in the NHS Long Term Plan, and are restarting post-COVID-19 pandemic in England; however, evidence regarding best practice is limited.

Mapping the flow of knowledge as guidance for ethics implementation in medical AI: A qualitative study.

PloS one
In response to the COVID-19 crisis, Artificial Intelligence (AI) has been applied to a range of applications in healthcare and public health such as case identification or monitoring of the population. The urgency of the situation should not be to th...

Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.

AJOB empirical bioethics
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care for people with chronic and degenerative conditions, including Parkinson's Disease (PD). This paper r...

Triangulation of Questionnaires, Qualitative Data and Natural Language Processing: A Differential Approach to Religious Bahá'í Fasting in Germany.

Journal of religion and health
Approaches to integrating mixed methods into medical research are gaining popularity. To get a holistic understanding of the effects of behavioural interventions, we investigated religious fasting using a triangulation of quantitative, qualitative, a...

Revolutionising dental technologies: a qualitative study on dental technicians' perceptions of Artificial intelligence integration.

BMC oral health
BACKGROUND: The integration of artificial intelligence (AI) in dentistry has the potential to revolutionise the field of dental technologies. However, dental technicians' views on the use of AI in dental technology are still sparse in the literature....

Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care.

JAMA network open
IMPORTANCE: Understanding the views and values of patients is of substantial importance to developing the ethical parameters of artificial intelligence (AI) use in medicine. Thus far, there is limited study on the views of children and youths. Their ...

Exploring the role of human-following robots in supporting the mobility and wellbeing of older people.

Scientific reports
With the ever-pressing challenges of societal ageing, robotic technologies for older people are increasingly portrayed as a solution for better independent living for longer. However, the application of human-following robots for elderly citizens has...