AIMC Topic: Artificial Intelligence

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Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.

Medical physics
BACKGROUND: Magnetic resonance imaging scanner faults can be missed during routine quality assurance (QA) if they are subtle, intermittent, or the test being performed is insensitive to the type of fault. Coil element malfunction is a common fault wi...

Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.

Annals of surgery
OBJECTIVE: To summarize state-of-the-art artificial intelligence-enabled decision support in surgery and to quantify deficiencies in scientific rigor and reporting.

Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches.

European journal of radiology
Since recent achievements of Artificial Intelligence (AI) have proven significant success and promising results throughout many fields of application during the last decade, AI has also become an essential part of medical research. The improving data...

The debate over understanding in AI's large language models.

Proceedings of the National Academy of Sciences of the United States of America
We survey a current, heated debate in the artificial intelligence (AI) research community on whether large pretrained language models can be said to understand language-and the physical and social situations language encodes-in any humanlike sense. W...

Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to evaluate an artificial intelligence (AI) solution for estimating coronal and sagittal spinopelvic alignment on conventional uniplanar two-dimensional whole-spine radiograph.