AIMC Topic: Artificial Intelligence

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Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.

Aquatic toxicology (Amsterdam, Netherlands)
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...

Artificial intelligence-assisted analysis of musculoskeletal imaging-A narrative review of the current state of machine learning models.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
The potential of Artificial intelligence (AI) is increasingly recognized in musculoskeletal radiology, offering solutions to challenges posed by increasing imaging volumes and fellowship trained radiologist shortages. The integration of AI is not int...

CLABpredICU---AI-driven risk prediction for CLABSI in intensive care units based on clinical and biochemical parameters.

American journal of infection control
BACKGROUND: Central line--associated bloodstream infections (CLABSI) are major causes of morbidity and mortality in intensive care units. This study aimed to develop an artificial intelligence-driven predictive model for CLABSI within 2 calendar days...

An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization.

Medical image analysis
Ultrasound imaging is pivotal in clinical diagnostics due to its affordability, portability, safety, real-time capability, and non-invasive nature. It is widely utilized for examining various organs, such as the breast, thyroid, ovary, cardiac, and m...

Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Visual-language foundation models (VLMs) have garnered attention for their numerous advantages and significant potential in AI-aided diagnosis and treatment, driving widespread applications in medical tasks. This study analy...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

Computer methods and programs in biomedicine
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseling services, creating pressure on existing mental health professionals. Large language models (LLM), like ChatGPT, are considered a novel solution for...

Towards precision medicine in antiphospholipid syndrome.

The Lancet. Rheumatology
Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and high heterogeneity in clinical presentation and treatment responses. The core idea of precision medicine is that the varying treatment responses among p...

AI in Orthopedic Research: A Comprehensive Review.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhancing diagnostic accuracy, optimizing treatment strategies, and streamlining clinical workflows. Recent advances in deep learning have enabled the develo...

Equitably Applying Artificial Intelligence in the United States Workforce Using Training and Collaboration.

New solutions : a journal of environmental and occupational health policy : NS
Advances in artificial intelligence (AI) have raised ethical concerns related to fairness, privacy, and trust. While AI may improve elements of the economy, its benefits will be unevenly experienced with more than half of jobs in the United States ex...

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!].

Urologie (Heidelberg, Germany)
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of techn...