AIMC Topic: Humans

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Deep Learning-Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Deep learning image reconstruction allows faster MR imaging acquisitions while matching or exceeding the standard of care and can create synthetic images from existing data sets. This multicenter, multireader spine study evalu...

Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.

Sensors (Basel, Switzerland)
Despite the substantial progress achieved in the development and integration of augmented reality (AR) in surgical robotic and autonomous systems (RAS), the center of focus in most devices remains on improving end-effector dexterity and precision, as...

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing.

BMC medical informatics and decision making
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting them into safety-sensitive use. This wor...

Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons.

BMC medical ethics
BACKGROUND: Healthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. Ho...

Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention.

BMC medical imaging
Fundus ultrasound image classification is a critical issue in the medical field. Vitreous opacity (VO) and posterior vitreous detachment (PVD) are two common eye diseases, Now, the diagnosis of these two diseases mainly relies on manual identificatio...

High-density Surface and Intramuscular EMG Data from the Tibialis Anterior During Dynamic Contractions.

Scientific data
Valid approaches for interfacing with and deciphering neural commands related to movement are critical to understanding muscular coordination and developing viable prostheses and wearable robotics. While electromyography (EMG) has been an established...

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs).

PloS one
Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation. However, sharing biomedical data can put sensitive personal infor...