The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

Background Despite the extensive published literature on the significant potential of artificial
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …

Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

We propose XVO, a semi-supervised learning method for training generalized monocular
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …

In this work, we develop an attention convolutional neural network (CNN) to segment brain
tumors from Magnetic Resonance Images (MRI). Further, we predict the survival rate using …

Abstract The Segment Anything Model (SAM) serves as a fundamental model for semantic
segmentation and demonstrates remarkable generalization capabilities across a wide range …

Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid.
The major symptom for the existence of these renal calculi is severe pain, especially when it …

The capacity of machine objects to communicate autonomously is seen as the future of the
Internet of Things (IoT), but machine‐to‐machine communication (M2M) is also gaining …

Laparoscopy is an imaging technique that enables minimally-invasive procedures in various
medical disciplines including abdominal surgery, gynaecology and urology. To date …

Background In laparoscopy, the digital camera offers surgeons the opportunity to receive
support from image-guided surgery systems. Such systems require image understanding …