Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

Quantitative molecular positron emission tomography imaging using advanced deep learning techniques

H Zaidi, I El Naqa - Annual review of biomedical engineering, 2021 - annualreviews.org
The widespread availability of high-performance computing and the popularity of artificial
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …

The three dimensional dosimetry imaging for automated eye cancer classification using transfer learning model

MA Mohammed, VA Mohammed… - 2023 14th …, 2023 - ieeexplore.ieee.org
Computer vision methods utilizing transfer learning can offer a promising approach for
automated eye cancer diagnosis with three-dimensional dosimetry imaging. The latest …

[HTML][HTML] Personalized brachytherapy dose reconstruction using deep learning

A Akhavanallaf, R Mohammadi, I Shiri, Y Salimi… - Computers in biology …, 2021 - Elsevier
Background and purpose Accurate calculation of the absorbed dose delivered to the tumor
and normal tissues improves treatment gain factor, which is the major advantage of …

Artificial intelligence and the medical physicist: welcome to the machine

M Avanzo, A Trianni, F Botta, C Talamonti, M Stasi… - Applied Sciences, 2021 - mdpi.com
Artificial intelligence (AI) is a branch of computer science dedicated to giving machines or
computers the ability to perform human-like cognitive functions, such as learning, problem …

Advances in automated treatment planning

D Nguyen, MH Lin, D Sher, W Lu, X Jia… - Seminars in radiation …, 2022 - Elsevier
Treatment planning in radiation therapy has progressed enormously over the past several
decades. Such advancements came in the form of innovative hardware and algorithms …

[HTML][HTML] A review of dose prediction methods for tumor radiation therapy

X Kui, F Liu, M Yang, H Wang, C Liu, D Huang, Q Li… - Meta-Radiology, 2024 - Elsevier
Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …

Artificial intelligence for Monte Carlo simulation in medical physics

D Sarrut, A Etxebeste, E Muñoz, N Krah… - Frontiers in …, 2021 - frontiersin.org
Monte Carlo simulation of particle tracking in matter is the reference simulation method in
the field of medical physics. It is heavily used in various applications such as 1) patient dose …

Artificial intelligence and deep learning for brachytherapy

X Jia, K Albuquerque - Seminars in Radiation Oncology, 2022 - Elsevier
In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods,
have been employed extensively to solve various problems in brachytherapy. This paper …

The application and development of deep learning in radiotherapy: A systematic review

D Huang, H Bai, L Wang, Y Hou, L Li… - … in Cancer Research …, 2021 - journals.sagepub.com
With the massive use of computers, the growth and explosion of data has greatly promoted
the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such …