AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 121 to 130 of 147 articles

Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.

Frontiers in artificial intelligence
Violence against children is a global public health threat of considerable concern. At least half of all children worldwide experience violence every year; globally, the total number of children between the ages of 2 and 17 years who have experienced...

Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study.

Frontiers in artificial intelligence
The medical community is in agreement that artificial intelligence (AI) will have a radical impact on patient care in the near future. The purpose of this study is to assess the awareness of AI technologies among health professionals and to investig...

Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks.

Frontiers in artificial intelligence
Encoder-decoder recurrent neural network models (RNN Seq2Seq) have achieved success in ubiquitous areas of computation and applications. They were shown to be effective in modeling data with both temporal and spatial dependencies for translation or p...

Integration of AI and Machine Learning in Radiotherapy QA.

Frontiers in artificial intelligence
The use of machine learning and other sophisticated models to aid in prediction and decision making has become widely popular across a breadth of disciplines. Within the greater diagnostic radiology, radiation oncology, and medical physics communitie...

iNALU: Improved Neural Arithmetic Logic Unit.

Frontiers in artificial intelligence
Neural networks have to capture mathematical relationships in order to learn various tasks. They approximate these relations implicitly and therefore often do not generalize well. The recently proposed Neural Arithmetic Logic Unit (NALU) is a novel n...

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.

Frontiers in artificial intelligence
Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovascular disease. Non-invasive neuroimaging techniques, such as time-of-flight (TOF) magnetic resonance angiography (MRA) imaging are applied in the clini...

The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions.

Frontiers in artificial intelligence
Increasing quality and performance of artificial intelligence (AI) in general and machine learning (ML) in particular is followed by a wider use of these approaches in everyday life. As part of this development, ML classifiers have also gained more i...

Automated Assessment of Peristomal Skin Discoloration and Leakage Area Using Artificial Intelligence.

Frontiers in artificial intelligence
For people living with an ostomy, development of peristomal skin complications (PSCs) is the most common post-operative challenge. A visual sign of PSCs is discoloration (redness) of the peristomal skin often resulting from leakage of ostomy output u...

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Frontiers in artificial intelligence
Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans by direct prediction of fluence ma...

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.

Frontiers in artificial intelligence
Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the majority of users and are not designed to improve the skill level of users. In this study, we aim to demonstrate the feasibility that AI can serve as an ef...