AIMC Topic: Artificial Intelligence

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Exploring the impact of AI-enhanced virtual tourism on Tourists' pro-environmental behavior: A stimulus-organism-response model perspective.

Acta psychologica
This study explores the potential of AI-enhanced virtual tourism to promote pro-environmental behavior (PEB) in cultural heritage tourism in China. Employing the stimulus-organism-response (SOR) model, we examine how five stimuli-accessibility, authe...

An AI-assisted morphoproteomic approach is a supportive tool in esophagitis-related precision medicine.

EMBO molecular medicine
Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse underlying etiologies and treatments. Correct diagnosis can be challenging due to partially overlapping histological features. By proteomic profiling of...

[Artificial intelligence in arthroplasty].

Orthopadie (Heidelberg, Germany)
BACKGROUND: Artificial intelligence is very likely to be a pioneering technology in arthroplasty, with a wide range of pre-, intra- and post-operative applications. The opportunities for patients, doctors and healthcare policy are considerable, espec...

[Artificial intelligence in paediatric pneumology - opportunities and unanswered questions].

Klinische Padiatrie
Artificial intelligence (AI) is already being used in most medical disciplines, including paediatric pneumology. This review describes current developments in AI-supported technologies and discusses their potential for the diagnosis and treatment of ...

Highly Sensitive and Interference-Free Detection of Multiple Drug Molecules in Serum Using Dual-Modified SERS Substrates Combined with AI Algorithm Analysis.

Analytical chemistry
Surface-enhanced Raman spectroscopy (SERS) technology has shown broad potential in drug concentration detection, but its application in blood drug monitoring faces significant challenges. The primary difficulty lies in overcoming the interference cau...

Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency.

JAMA network open
IMPORTANCE: Timely evaluation of ambient scribing technology is warranted to assess whether this technology can lessen the burden of clinical documentation on clinicians.

Large Language Models for Chatbot Health Advice Studies: A Systematic Review.

JAMA network open
IMPORTANCE: There is much interest in the clinical integration of large language models (LLMs) in health care. Many studies have assessed the ability of LLMs to provide health advice, but the quality of their reporting is uncertain.

AI language model rivals expert ethicist in perceived moral expertise.

Scientific reports
People view AI as possessing expertise across various fields, but the perceived quality of AI-generated moral expertise remains uncertain. Recent work suggests that large language models (LLMs) perform well on tasks designed to assess moral alignment...

Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.

Journal of medical Internet research
BACKGROUND: Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The in...

Diffused responsibilities in technology-driven health research: The case of artificial intelligence systems in decentralized clinical trials.

Drug discovery today
Innovations such as artificial intelligence (AI) and decentralized clinical trials (DCTs) offer opportunities to enhance trial quality and efficiency. However, these innovations raise ethical questions about key responsibilities in research, such as ...