AI Medical Compendium Journal:
International journal of radiation oncology, biology, physics

Showing 41 to 50 of 93 articles

Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer.

International journal of radiation oncology, biology, physics Feb 6, 2021
PURPOSE: Accurate lymph node (LN) malignancy classification is essential for treatment target identification in head and neck cancer (HNC) radiation therapy. Given the constraints imposed by relatively small sample sizes in real-world medical applica...
ROC Curve Lymph Nodes Head and Neck Neoplasms Lymphatic Metastasis Positron Emission Tomography Computed Tomography Humans Neural Networks, Computer Male Deep Learning
View on PubMed DOI

Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer.

International journal of radiation oncology, biology, physics Feb 3, 2021
Natural language processing (NLP), which aims to convert human language into expressions that can be analyzed by computers, is one of the most rapidly developing and widely used technologies in the field of artificial intelligence. Natural language p...
Electronic Health Records Natural Language Processing Radiation Oncology Humans Artificial Intelligence Algorithms
View on PubMed DOI

Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

International journal of radiation oncology, biology, physics Feb 1, 2021
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiation therapy outcomes-radiation pneumonitis (RP) and local control (LC)-in stage III non-small cell lung cancer (NSCLC) patients. Unl...
Cytokines Female Aged Male Humans Carcinoma, Non-Small-Cell Lung MicroRNAs Positron-Emission Tomography Radiation Pneumonitis Middle Aged Deep Learning Lung Neoplasms Treatment Outcome
View on PubMed DOI

Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses...
Proportional Hazards Models Radiotherapy Dosage Clinical Trials, Phase III as Topic Statistics, Nonparametric Middle Aged Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Heart Organs at Risk Confidence Intervals Linear Models Aged Aged, 80 and over Adult Male Humans Algorithms Tomography, X-Ray Computed Female
View on PubMed DOI

Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Our purpose was to assess the use of machine learning methods and Mobius 3D (M3D) dose calculation software to reduce the number of physical ion chamber (IC) dose measurements required for patient-specific quality assurance during corona vir...
Humans Machine Learning ROC Curve Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated
View on PubMed DOI

Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer.

International journal of radiation oncology, biology, physics Nov 9, 2020
PURPOSE: This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need for internal target volume expansions and thereby reducing toxicity events ...
Retrospective Studies Tomography, X-Ray Computed Female Uterine Cervical Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Observer Variation Humans Radiotherapy Dosage
View on PubMed DOI

Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach.

International journal of radiation oncology, biology, physics Oct 14, 2020
PURPOSE: To develop a deep learning model that generates consistent, high-quality lymph node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an integral part of a fully automated radiation treatment planning workflo...
Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Deep Learning Humans Lymph Nodes Head and Neck Neoplasms Pharynx Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.

International journal of radiation oncology, biology, physics Jul 16, 2020
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a one-stop shop for radiation therapy (RT) planning has great potential but is technically challenging. We studied the feasibility of performing multipara...
Radiotherapy, Computer-Assisted Positron-Emission Tomography Fluorodeoxyglucose F18 Radiotherapy Dosage Humans Patient Positioning Neural Networks, Computer Magnetic Resonance Imaging Prospective Studies Multimodal Imaging Tomography, X-Ray Computed Feasibility Studies Deep Learning Radiopharmaceuticals Head and Neck Neoplasms
View on PubMed DOI

Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.

International journal of radiation oncology, biology, physics Jul 4, 2020
PURPOSE: To investigate machine segmentation of pelvic anatomy in magnetic resonance imaging (MRI)-assisted radiosurgery (MARS) for prostate cancer using prostate brachytherapy MRIs acquired with different pulse sequences and image contrasts.
Male Deep Learning Cohort Studies Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Pelvis Rectum Humans Neural Networks, Computer Retrospective Studies Urethra Magnetic Resonance Imaging, Interventional Seminal Vesicles Brachytherapy Radiosurgery Urinary Bladder Entropy
View on PubMed DOI

Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

International journal of radiation oncology, biology, physics May 22, 2020
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...
Life Expectancy Middle Aged Prognosis Karnofsky Performance Status Female Steroids Reproducibility of Results Blood Cell Count Time Factors Male Bone Neoplasms Spinal Neoplasms Pelvic Bones Humans Proportional Hazards Models Area Under Curve Machine Learning Kaplan-Meier Estimate Analgesics, Opioid Algorithms Palliative Care
View on PubMed DOI
Popular Topics
Popular Journals