The Integration of Deep Learning in Radiotherapy: Exploring Challenges, Opportunities, and Future Directions through an Umbrella Review
A Lastrucci, Y Wandael, R Ricci, G Maccioni… - Diagnostics, 2024 - mdpi.com
This study investigates, through a narrative review, the transformative impact of deep
learning (DL) in the field of radiotherapy, particularly in light of the accelerated …
learning (DL) in the field of radiotherapy, particularly in light of the accelerated …
[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers
M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
Synthetic Data Generation in Healthcare: A Scoping Review of reviews on domains, motivations, and future applications
M Rujas, RM Gomez del Moral Herranz, G Fico… - medRxiv, 2024 - medrxiv.org
The development of Artificial Intelligence (AI) in the healthcare sector is generating a great
impact. However, one of the primary challenges for the implementation of this technology is …
impact. However, one of the primary challenges for the implementation of this technology is …
[HTML][HTML] Clinical acceptance and dosimetric impact of automatically delineated elective target and organs at risk for head and neck MR-Linac patients
Background MR-Linac allows for daily online treatment adaptation to the observed geometry
of tumor targets and organs at risk (OARs). Manual delineation for head and neck cancer …
of tumor targets and organs at risk (OARs). Manual delineation for head and neck cancer …
[HTML][HTML] Design and evaluation of a deep learning-based automatic segmentation of maxillary and mandibular substructures using a 3D U-Net
L Melerowitz, S Sreenivasa, M Nachbar… - Clinical and …, 2024 - Elsevier
Background Current segmentation approaches for radiation treatment planning in head and
neck cancer patients (HNCP) typically consider the entire mandible as an organ at risk …
neck cancer patients (HNCP) typically consider the entire mandible as an organ at risk …
Investigation on performance of multiple AI-based auto-contouring systems in organs at risks (OARs) delineation
YW Kim, S Biggs, E Claridge Mackonis - Physical and Engineering …, 2024 - Springer
Manual contouring of organs at risk (OAR) is time-consuming and subject to inter-observer
variability. AI-based auto-contouring is proposed as a solution to these problems if it can …
variability. AI-based auto-contouring is proposed as a solution to these problems if it can …
Advanced Diagnostics With Artificial Intelligence and Machine Learning in the Healthcare Sector
N Sarkar, S Goel, A Khang - AI-Driven Innovations in Digital …, 2024 - igi-global.com
Artificial intelligence (AI) systems are software (and possibly also hardware) systems
designed by humans that, given a complex goal, act in the physical or digital dimension by …
designed by humans that, given a complex goal, act in the physical or digital dimension by …