Cargando…

Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization

Primary malignancies in adult brains are globally fatal. Computer vision, especially recent developments in artificial intelligence (AI), have created opportunities to automatically characterize and diagnose tumor lesions in the brain. AI approaches have provided scores of unprecedented accuracy in...

Descripción completa

Detalles Bibliográficos
Autores principales:	Esmaeili, Morteza, Vettukattil, Riyas, Banitalebi, Hasan, Krogh, Nina R., Geitung, Jonn Terje
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618183/ https://www.ncbi.nlm.nih.gov/pubmed/34834566 http://dx.doi.org/10.3390/jpm11111213

Ejemplares similares

In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism
por: Esmaeili, Morteza, et al.
Publicado: (2022)

Diffusion tension imaging is a good tool for assessing patients with dementia and behavioral problems and discriminating them from other dementia patients
por: Naik, Mala, et al.
Publicado: (2021)

Can Electronic Tools Help Improve Nursing Home Quality?
por: Krüger, Kjell, et al.
Publicado: (2011)

Hospital Admissions from Nursing Homes: Rates and Reasons
por: Krüger, Kjell, et al.
Publicado: (2011)

Editorial: Explainable and advanced intelligent processing in the brain-machine interaction
por: Xie, Xiaofeng, et al.
Publicado: (2023)

Low diagnostic accuracy and inter-observer agreement on CT and MRI in diagnosis of spinal fractures in multiple myeloma
por: Dalen, Viktor, et al.
Publicado: (2021)

Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
por: Kulseng, Carl Petter Skaar, et al.
Publicado: (2023)

Correlation between MRI morphological response patterns and histopathological tumor regression after neoadjuvant endocrine therapy in locally advanced breast cancer: a randomized phase II trial
por: Reis, Joana, et al.
Publicado: (2021)

Assessment of preoperative axillary nodal disease burden: breast MRI in locally advanced breast cancer before, during and after neoadjuvant endocrine therapy
por: Reis, Joana, et al.
Publicado: (2022)

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
por: Amann, Julia, et al.
Publicado: (2022)

Temporomandibular joint pain and associated magnetic resonance findings: a retrospective study with a control group
por: Eriksen, Elisabeth Schilbred, et al.
Publicado: (2020)

Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
por: de Lacy, Nina, et al.
Publicado: (2022)

Causability and explainability of artificial intelligence in medicine
por: Holzinger, Andreas, et al.
Publicado: (2019)

An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease
por: Amoroso, Nicola, et al.
Publicado: (2023)

Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity
por: Allen, Ben, et al.
Publicado: (2022)

Machine Learning and Explainable Artificial Intelligence Using Counterfactual Explanations for Evaluating Posture Parameters
por: Dindorf, Carlo, et al.
Publicado: (2023)

A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
por: Khanna, Varada Vivek, et al.
Publicado: (2023)

Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
por: Allen, Ben
Publicado: (2023)

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
por: Fellous, Jean-Marc, et al.
Publicado: (2019)

Explainable Artificial Intelligence in Endocrinological Medical Research
por: Webb-Robertson, Bobbie-Jo M
Publicado: (2021)

Artificial intelligence explainability: the technical and ethical dimensions
por: McDermid, John A., et al.
Publicado: (2021)

Explainable Artificial Intelligence for Predictive Modeling in Healthcare
por: Yang, Christopher C.
Publicado: (2022)

Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
por: Zhang, Yiming, et al.
Publicado: (2022)

Halved contrast medium dose in lower limb dual-energy computed tomography angiography—a randomized controlled trial
por: Kristiansen, Cathrine Helgestad, et al.
Publicado: (2023)

Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence
por: Akbulut, Sami, et al.
Publicado: (2023)

Explainable artificial intelligence model to predict brain states from fNIRS signals
por: Shibu, Caleb Jones, et al.
Publicado: (2023)

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South
por: Kong, Jude Dzevela, et al.
Publicado: (2023)

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
por: Amann, Julia, et al.
Publicado: (2020)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
por: Lombardi, Angela, et al.
Publicado: (2021)

Explainable vs. interpretable artificial intelligence frameworks in oncology
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
por: Laios, Alexandros, et al.
Publicado: (2023)

Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
por: Lee, Kwang-Sig, et al.
Publicado: (2022)

Editorial: Explainable artificial intelligence for critical healthcare applications
por: He, Zhe, et al.
Publicado: (2023)

Metabolic Profiles of Brain Metastases
por: Sjøbakk, Torill E., et al.
Publicado: (2013)

Machine learning and artificial intelligence
por: Joshi, Ameet V
Publicado: (2019)

Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
por: Elmannai, Hela, et al.
Publicado: (2023)

Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences
por: Feng, Jinchao, et al.
Publicado: (2020)

Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability
por: Coeckelbergh, Mark
Publicado: (2019)

Explainable artificial intelligence for heart rate variability in ECG signal
por: K., Sanjana, et al.
Publicado: (2020)

Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives
por: Krichmar, Jeffrey L., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_c4u64eqar2nb8tbd1pfl0051pt