Regulatory aspects of the use of artificial intelligence medical software
The rapidly evolving scenario of Artificial intelligence (AI) in medicine comes with new
regulatory challenges, including certification, ownership, and control of data sharing, privacy …
regulatory challenges, including certification, ownership, and control of data sharing, privacy …
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model …
The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …
the performance leap that occurred with new techniques of deep learning, convolutional …
Deep embedded median clustering for routing misbehaviour and attacks detection in ad-hoc networks
A Rajendran, N Balakrishnan, P Ajay - Ad Hoc Networks, 2022 - Elsevier
Due to the properties of ad-hoc networks, it appears that designing sophisticated defence
schemes with more computing capital is impossible in most situations. Recently, an …
schemes with more computing capital is impossible in most situations. Recently, an …
[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
Automation and artificial intelligence in radiation therapy treatment planning
S Jones, K Thompson, B Porter… - Journal of Medical …, 2024 - Wiley Online Library
Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …
planning and treatment processes with the aim of improving workflows and increasing …
Recent applications of artificial intelligence in radiotherapy: where we are and beyond
M Santoro, S Strolin, G Paolani, G Della Gala… - Applied Sciences, 2022 - mdpi.com
Featured Application Computational models based on artificial intelligence (AI) variants
have been developed and applied successfully in many areas, both inside and outside of …
have been developed and applied successfully in many areas, both inside and outside of …
[PDF][PDF] Deep learning techniques for COVID-19 detection based on chest X-ray and CT-scan images: a short review and future perspective
Today, humans live in the era of rapid growth in electronic devices that are based on
artificial intelligence, including the significant growth in the manufacture of machines that …
artificial intelligence, including the significant growth in the manufacture of machines that …
Treatment plan prediction for lung IMRT using deep learning based fluence map generation
Purpose Recently, it has been shown that automated treatment planning can be executed by
direct fluence prediction from patient anatomy using convolutional neural networks. Proof of …
direct fluence prediction from patient anatomy using convolutional neural networks. Proof of …
Automation in radiotherapy treatment planning: Examples of use in clinical practice and future trends for a complete automated workflow
P Meyer, MC Biston, C Khamphan, T Marghani… - Cancer …, 2021 - Elsevier
Modern radiotherapy treatment planning is a complex and time-consuming process that
requires the skills of experienced users to obtain quality plans. Since the early 2000s, the …
requires the skills of experienced users to obtain quality plans. Since the early 2000s, the …
Big data for biomedical education with a focus on the COVID-19 era: an integrative review of the literature
Medical education refers to education and training delivered to medical students in order to
become a practitioner. In recent decades, medicine has been radically transformed by …
become a practitioner. In recent decades, medicine has been radically transformed by …