AIMC Topic: Delivery of Health Care

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A novel modification of the Turing test for artificial intelligence and robotics in healthcare.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The increasing demands of delivering higher quality global healthcare has resulted in a corresponding expansion in the development of computer-based and robotic healthcare tools that rely on artificially intelligent technologies. The Turi...

Perceptions of artificial intelligence in healthcare: a qualitative study among healthcare professionals in Jordan.

BMJ leader
PURPOSE: While there are studies on this topic, there may be a relative scarcity of research focusing on specific regions, such as Jordan. So, this study aims to gather insights from healthcare providers in Jordan concerning the advantages of integra...

Improving diagnosis in health care: laboratory medicine.

Diagnosis (Berlin, Germany)
Accurate and timely diagnosis remains one of the most complex and challenging processes in medicine. Diagnostic errors pose a significant burden on patients and healthcare systems, with laboratory-related errors playing a substantial role, especially...

Exploring the impact of generative AI tools on healthcare delivery in Tanzania.

Journal of health organization and management
PURPOSE: This study explores the impact of generative AI tools on healthcare delivery in Tanzania. It examines its potential to enhance efficiency, accessibility and decision-making in health informatics while addressing infrastructure, ethics and eq...

Responsible artificial intelligence (AI) in healthcare: a paradigm shift in leadership and strategic management.

Leadership in health services (Bradford, England)
PURPOSE: This paper aims to explore the paradigm shift in leadership and strategic management driven by the integration of responsible artificial intelligence (AI) in healthcare. It explores the evolving role of leadership in adapting to AI technolog...

[The alliance of cybersecurity and artificial intelligence in digital healthcare: challenges and solutions from the EU CYLCOMED RWD project.].

Recenti progressi in medicina
The availability of health technologies has facilitated improvements in the quality of care, playing a vital role in both hospital environments and remote patient monitoring. However, the growing complexity of these technologies has also led to an in...

[Digital health: a green future for healthcare?].

Urologie (Heidelberg, Germany)
The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disease and injury cases will increase due to various effects such as heatwaves or natural disasters, further burdening the healthcare system. On the other...

From black box to clarity: Strategies for effective AI informed consent in healthcare.

Artificial intelligence in medicine
BACKGROUND: Informed consent is fundamental to ethical medical practice, ensuring that patients understand the procedures they undergo, the associated risks, and available alternatives. The advent of artificial intelligence (AI) in healthcare, partic...

Mitigating patient harm risks: A proposal of requirements for AI in healthcare.

Artificial intelligence in medicine
With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enabled medical software responsibly, ensuring ethical alignment and patient safety. This study examines how to mitigate the key risks identified by the E...

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.

Annals of neurology
Artificial intelligence (AI) applications are finding use in real-world neurological settings. Whereas part 1 of this 3-part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more pra...