Cargando…

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties in the underlying tumor biology in high-grade gliomas, where...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chaudhuri, Anirban, Pash, Graham, Hormuth, David A., Lorenzo, Guillermo, Kapteyn, Michael, Wu, Chengyue, Lima, Ernesto A. B. F., Yankeelov, Thomas E., Willcox, Karen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598726/ https://www.ncbi.nlm.nih.gov/pubmed/37886348 http://dx.doi.org/10.3389/frai.2023.1222612

Ejemplares similares

Evaluating and selecting arguments in the context of higher order uncertainty
por: Straßer, Christian, et al.
Publicado: (2023)

Understanding the need for digital twins’ data in patient advocacy and forecasting oncology
por: Chang, Hung-Ching, et al.
Publicado: (2023)

CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin
por: Zotov, Evgeny, et al.
Publicado: (2021)

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain
por: Loued-Khenissi, Leyla, et al.
Publicado: (2020)

General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification
por: Zhang, Kaiqi, et al.
Publicado: (2022)

Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports
por: Batch, Karen E., et al.
Publicado: (2022)

Integration of AI and Machine Learning in Radiotherapy QA
por: Chan, Maria F., et al.
Publicado: (2020)

Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy
por: Chen, Wen, et al.
Publicado: (2021)

Self voting classification model for online meeting app review sentiment analysis and topic modeling
por: Aslam, Naila, et al.
Publicado: (2022)

Deepfake tweets classification using stacked Bi-LSTM and words embedding
por: Rupapara, Vaibhav, et al.
Publicado: (2021)

Modeling the dynamics of contractual relations
por: Griffo, Cristine, et al.
Publicado: (2023)

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images
Publicado: (2021)

Artificial intelligence for analyzing orthopedic trauma radiographs: Deep learning algorithms—are they on par with humans for diagnosing fractures?
por: Olczak, Jakub, et al.
Publicado: (2017)

Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
por: Kim, Dong Wook, et al.
Publicado: (2019)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
por: Loftus, Tyler J., et al.
Publicado: (2020)

A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO(2))
por: Germuska, Michael, et al.
Publicado: (2020)

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study
por: Reichling, Cynthia, et al.
Publicado: (2020)

Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
por: Comess, Saskia, et al.
Publicado: (2020)

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment
por: Kritsis, Kosmas, et al.
Publicado: (2021)

Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic
por: Carriere, Jay, et al.
Publicado: (2021)

A survey on exponential random graph models: an application perspective
por: Ghafouri, Saeid, et al.
Publicado: (2020)

Effects of data count and image scaling on Deep Learning training
por: Hirahara, Daisuke, et al.
Publicado: (2020)

Deep learning based Sequential model for malware analysis using Windows exe API Calls
por: Catak, Ferhat Ozgur, et al.
Publicado: (2020)

Data augmentation based malware detection using convolutional neural networks
por: Catak, Ferhat Ozgur, et al.
Publicado: (2021)

Leveraging aspect phrase embeddings for cross-domain review rating prediction
por: Jiang, Aiqi, et al.
Publicado: (2019)

Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data
por: Khare, Sangeeta, et al.
Publicado: (2021)

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
por: Bari, Bifta Sama, et al.
Publicado: (2021)

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain
por: Tabares-Soto, Reinel, et al.
Publicado: (2021)

Classification model for accuracy and intrusion detection using machine learning approach
por: Agarwal, Arushi, et al.
Publicado: (2021)

Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis
por: Duwairi, Rehab, et al.
Publicado: (2021)

Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
por: Fröhling, Leon, et al.
Publicado: (2021)

Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features
por: Chen, Guangzong, et al.
Publicado: (2021)

Stance detection with BERT embeddings for credibility analysis of information on social media
por: Karande, Hema, et al.
Publicado: (2021)

Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning
por: Janjua, Sadaf Hussain, et al.
Publicado: (2021)

Knowledge distillation in deep learning and its applications
por: Alkhulaifi, Abdolmaged, et al.
Publicado: (2021)

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
por: Mehta, Pooja, et al.
Publicado: (2021)

Observer based robust H(∞) fuzzy tracking control: application to an activated sludge process
por: Khallouq, Abdelmounaim, et al.
Publicado: (2021)

Application of improved fuzzy best worst analytic hierarchy process on renewable energy
por: Majumder, Priyanka, et al.
Publicado: (2021)

Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
por: Rahmani, Amir Masoud, et al.
Publicado: (2021)

To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
por: Amparore, Elvio, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_v1trrpeavjm1o34m30aq3gmveo