Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all
topics that fall under the heading of artificial intelligence (AI) and have gained popularity in …

In this paper, we present the potential of Explainable Artificial Intelligence methods for
decision support in medical image analysis scenarios. Using three types of explainable …

Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be
used to predict toxicity of various chemical compounds or classify the compounds based on …

Deep learning (DL) has been introduced in automatic heart-abnormality classification using
ECG signals, while its application in practical medical procedures is limited. A systematic …

Abstract Background and Objective: Chest X-ray imaging is a relatively cheap and
accessible diagnostic tool that can assist in the diagnosis of various conditions, including …

We are now in an exceptional time: algorithms driven by artificial intelligence (AI) and
related approaches are seemingly ubiquitous, are heavily promoted, and hold great …

We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …

Tremor is the most frequent human movement disorder, and its diagnosis is based on
clinical assessment. Yet finding the accurate clinical diagnosis is not always straightforward …

With the massive proliferation of data-driven algorithms, such as deep learning-based
approaches, the availability of high-quality data is of great interest. Volumetric data is very …