AIMC Topic: Artificial Intelligence

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Pharmacy faculty and students perceptions of artificial intelligence: A National Survey.

Currents in pharmacy teaching & learning
INTRODUCTION: This study explores the perceptions, familiarity, and utilization of artificial intelligence (AI) among pharmacy faculty and students across the United States. By identifying key gaps in AI education and training, it highlights the need...

Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Multimodal artificial intelligence (AI) has the potential to revolutionise healthcare by enabling the simultaneous processing and integration of various data types, including medical imaging, electronic health records, genomic information and real-ti...

Letters to the editor generated by AI in neuroscience: The role of neuroethics.

Neuroscience
The letter to the editor (LTE) is a correspondence forum that allows a journal's readers to comment on published research and also publish data and arguments in a brief way. The LTE has vital functions as an accessible comment forum, including holdin...

Revisiting medical image retrieval via knowledge consolidation.

Medical image analysis
As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implementation. In this context, medical image retrieval becomes a critical ...

Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence.

Seminars in nuclear medicine
Infectious and inflammatory diseases represent a global challenge. Delayed diagnosis and treatment lead to death, disabilities and impairment of the quality of life. The detection of low-grade inflammation and occult infections remains challenging. N...

Artificial intelligence versus orthopedic surgeons as an orthopedic consultant in the emergency department.

Injury
INTRODUCTION: ChatGPT, a widely accessible AI program, has demonstrated potential in various healthcare applications, including emergency department (ED) triage, differential diagnosis, and patient education. However, its potential in providing recom...

Real-Time Monitoring of Personal Protective Equipment Adherence Using On-Device Artificial Intelligence Models.

Sensors (Basel, Switzerland)
Personal protective equipment (PPE) is crucial for infection prevention and is effective only when worn correctly and consistently. Health organizations often use education or inspections to mitigate non-compliance, but these are costly and have limi...

Digital evolution: Novo Nordisk's shift to ontology-based data management.

Journal of biomedical semantics
The amount of biomedical data is growing, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterpris...

Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients.

BMC geriatrics
BACKGROUND: Depression is a common complication after a stroke that may lead to increased disability and decreased quality of life. The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depres...

The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence.

Scientific reports
Aiming at the optimization of public sports service quality, this study analyzes the public sports service data deeply by constructing a supervised learning model. Firstly, the theoretical framework of this study is established. Secondly, the technic...