AIMC Topic: Artificial Intelligence

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Noninterpretive Uses of Artificial Intelligence in Radiology.

Academic radiology
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the recent excitement about AI in the medical literature has revolved around the ability of AI model...

Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians.

Journal of magnetic resonance imaging : JMRI
Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with recent breakthroughs applying deep-learning models for data acquisition, classification problems, segmentation, image synthesis, and image reconstruction. Wit...

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.

Translational vision science & technology
PURPOSE: Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small incision lenticule extraction, successfully improved patients' quality of life. Evidence-based recommendation for ...

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.

Translational vision science & technology
In recent years, there has been considerable interest in the prospect of machine learning models demonstrating expert-level diagnosis in multiple disease contexts. However, there is concern that the excitement around this field may be associated with...

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.

Neural networks : the official journal of the International Neural Network Society
In recent years, deep learning achieves remarkable results in the field of artificial intelligence. However, the training process of deep neural networks may cause the leakage of individual privacy. Given the model and some background information of ...

Bio-informational futures: The convergence of artificial intelligence and synthetic biology.

EMBO reports
Synthetic biology and artificial intelligence naturally converge in the biofoundry. Navigating the ethical and societal issues of the biofoundry's potential remains a major challenge.

Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare Through New Era of Artificial Intelligence.

IEEE journal of biomedical and health informatics
Medicine has entered the digital era, driven by data from new modalities, especially genomics and imaging, as well as new sources such as wearables and Internet of Things. As we gain a deeper understanding of the disease biology and how diseases affe...