AIMC Topic: Artificial Intelligence

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Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning.

Clinical chemistry
BACKGROUND: Immunofixation electrophoresis (IFE) is important for diagnosis of plasma cell disorders (PCDs). Manual analysis of IFE images is time-consuming and potentially subjective. An artificial intelligence (AI) system for automatic and accurate...

Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights.

Neuropathology and applied neurobiology
AIM: Analysis of cerebrospinal fluid (CSF) is essential for diagnostic workup of patients with neurological diseases and includes differential cell typing. The current gold standard is based on microscopic examination by specialised technicians and n...

Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network.

Revista espanola de enfermedades digestivas
BACKGROUND AND AIMS: capsule endoscopy (CE) revolutionized the study of the small intestine. Nevertheless, reviewing CE images is time-consuming and prone to error. Artificial intelligence algorithms, particularly convolutional neural networks (CNN),...

Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling.

Toxicological sciences : an official journal of the Society of Toxicology
Physiologically based pharmacokinetic (PBPK) models are useful tools in drug development and risk assessment of environmental chemicals. PBPK model development requires the collection of species-specific physiological, and chemical-specific absorptio...

[Anesthesia Depth Monitoring Based on Anesthesia Monitor with the Help of Artificial Intelligence].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
OBJECTIVE: To use the low-cost anesthesia monitor for realizing anesthesia depth monitoring, effectively assist anesthesiologists in diagnosis and reduce the cost of anesthesia operation.

Pressing issues in healthcare digital technologies and AI.

British journal of nursing (Mark Allen Publishing)
Lecturer in Law, Birmingham Law School, University of Birmingham, discusses several reports addressing patient safety, ethical and legal issues in healthcare digital technologies and artificial intelligence.

Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches.

The Gerontologist
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over...