AIMC Topic: Public Opinion

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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

Journal of medical Internet research
BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-to-date responses to health crises such as infectious diseases outbreaks. Social media such as Twitter provide an unprecedented way for the prompt asse...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BMC medical informatics and decision making
BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, especially ...

Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.

The International journal on drug policy
Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, tested and in some cases introduced as a second line treatment for limited groups of entrenched heroin users in a number of European countries and Cana...

Changes in depression stigma after the Germanwings crash - Findings from German population surveys.

Journal of affective disorders
BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental illness and was criticized for potentially increasing depression stigma. We explored whether stigma beliefs towards persons with depression changed i...

Domesticating the Drone: The Demilitarisation of Unmanned Aircraft for Civil Markets.

Science and engineering ethics
Remotely piloted aviation systems (RPAS) or 'drones' are well known for their military applications, but could also be used for a range of non-military applications for state, industrial, commercial and recreational purposes. The technology is advanc...

The effectiveness of explainable AI on human factors in trust models.

Scientific reports
Explainable AI has garnered significant traction in science communication research. Prior empirical studies have firmly established that explainable AI communication could improve trust in AI and that trust in AI engineers was argued to be an under-e...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

Studies in health technology and informatics
The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study...

Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia.

Health expectations : an international journal of public participation in health care and health policy
INTRODUCTION: There is a rapidly increasing number of applications of healthcare artificial intelligence (HCAI). Alongside this, a new field of research is investigating public support for HCAI. We conducted a study to identify the conditions on Aust...

Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assesse...

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.

The Lancet. Digital health
Artificial intelligence (AI) promises to change health care, with some studies showing proof of concept of a provider-level performance in various medical specialties. However, there are many barriers to implementing AI, including patient acceptance ...