AIMC Topic: Health Personnel

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Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study.

Health expectations : an international journal of public participation in health care and health policy
INTRODUCTION: Globally, many people experience mental health difficulties, and the current workforce capacity is insufficient to meet this demand, with growth not keeping pace with need. Digital devices that passively collect data and utilise machine...

Artificial Intelligence in Healthcare and Regulation Challenges: a Mini Guide for (Mental) Health Professionals.

Psychiatria Danubina
Artificial intelligence (AI) offers new perspectives in the healthcare sector, ranging from clinical decision support tools to new treatment strategies or alternative patient remote monitoring. However, as a disruptive technology, AI is associated wi...

Generative artificial intelligence and the personalization of health professional education: A narrative review.

Medicine
This narrative review examined the intersection of generative artificial intelligence (GAI) and the personalization of health professional education (PHE). This review aims to the elucidate the current condition of GAI technologies and their particul...

Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Healthcare-associated infections resulting from cross-contamination, particularly from the hands of multidisciplinary staff, significantly impact patient mortality in health units. The prolonged nature of classical phenotypic diagnostic methods under...

A Compass for North Carolina Health Care Workers Navigating the Adoption of Artificial Intelligence.

North Carolina medical journal
This article underscores the economic benefits of AI, the importance of collaborative innovation, and the need for workforce development to prepare health care professionals for an AI-enhanced future. We include guidance for strategic and ethical AI ...

[The Generative Artificial Intelligence Revolution in Nursing: A New Chapter in Enhancing Care Quality and Education].

Hu li za zhi The journal of nursing
Artificial intelligence (AI) represents a recent major breakthrough in technology development and, in recent years, generative AI has emerged as another trendsetter. The application of generative AI technologies in the healthcare sector has not only ...

AI in imaging: the regulatory landscape.

The British journal of radiology
Artificial intelligence (AI) methods have been applied to medical imaging for several decades, but in the last few years, the number of publications and the number of AI-enabled medical devices coming on the market have significantly increased. While...

Artificial intelligence and allergic rhinitis: does ChatGPT increase or impair the knowledge?

Journal of public health (Oxford, England)
BACKGROUND: Optimal management of allergic rhinitis requires patient education with easy access to accurate information. However, previous online platforms have provided misleading information. The demand for online medical information continues to g...

Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.

The Lancet. Digital health
Machine learning (ML)-based risk prediction models hold the potential to support the health-care setting in several ways; however, use of such models is scarce. We aimed to review health-care professional (HCP) and patient perceptions of ML risk pred...