AI Medical Compendium Topic

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Health Personnel

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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...

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 ...

Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review.

JMIR aging
BACKGROUND: Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support perso...

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...

The EU Artificial Intelligence Act (2024): Implications for healthcare.

Health policy (Amsterdam, Netherlands)
In August 2024, the EU Artificial Intelligence Act (AI Act) entered into force. This legally binding instrument sets rules for the development, the placing on the market, the putting into service, and the use of AI systems in the European Union. As t...

Is artificial intelligence for medical professionals serving the patients?  : Protocol for a systematic review on patient-relevant benefits and harms of algorithmic decision-making.

Systematic reviews
BACKGROUND: Algorithmic decision-making (ADM) utilises algorithms to collect and process data and develop models to make or support decisions. Advances in artificial intelligence (AI) have led to the development of support systems that can be superio...

Implementing AI-Driven Bed Sensors: Perspectives from Interdisciplinary Teams in Geriatric Care.

Sensors (Basel, Switzerland)
Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI-driven technology for sleep monitoring can significantly enhance the rehabilitation process. Sleepsense, an AI-driven sleep-tracking device, provides...

The Effect of Ambient Artificial Intelligence Notes on Provider Burnout.

Applied clinical informatics
BACKGROUND:  Healthcare provider burnout is a critical issue with significant implications for individual well-being, patient care, and healthcare system efficiency. Addressing burnout is essential for improving both provider well-being and the quali...

Assessing the Usability and Effectiveness of an AI-Powered Telehealth Platform: Mixed Methods Study on the Perspectives of Patients and Providers.

JMIR formative research
BACKGROUND: Telemedicine has revolutionized health care by significantly enhancing accessibility and convenience, yet barriers remain, such as providers' challenges with technology use. With advancements in telemedicine technologies, understanding th...