Cargando…

Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on Magnetic Resonance Imaging: A Systematic Review and Recommendations for Future Studies

SIMPLE SUMMARY: Radiologists interpret prostate multiparametric magnetic resonance imaging (mpMRI) to identify abnormalities that may correspond to prostate cancer, whose status is later confirmed by MR-guided targeted biopsy. Artificial intelligence algorithms may improve the diagnostic accuracy ac...

Descripción completa

Detalles Bibliográficos
Autores principales:	Syer, Tom, Mehta, Pritesh, Antonelli, Michela, Mallett, Sue, Atkinson, David, Ourselin, Sébastien, Punwani, Shonit
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Systematic Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268820/ https://www.ncbi.nlm.nih.gov/pubmed/34282762 http://dx.doi.org/10.3390/cancers13133318

Ejemplares similares

AutoProstate: Towards Automated Reporting of Prostate MRI for Prostate Cancer Assessment Using Deep Learning
por: Mehta, Pritesh, et al.
Publicado: (2021)

Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
por: Antonelli, Michela, et al.
Publicado: (2019)

The Effects of Artificial Intelligence Assistance on the Radiologists’ Assessment of Lung Nodules on CT Scans: A Systematic Review
por: Ewals, Lotte J. S., et al.
Publicado: (2023)

Emerging methods for prostate cancer imaging: evaluating cancer structure and metabolic alterations more clearly
por: Retter, Adam, et al.
Publicado: (2021)

Artificial Intelligence: Is It Armageddon for Breast Radiologists?
por: Chiwome, Lawman, et al.
Publicado: (2020)

Perception of Artificial Intelligence (AI) among radiologists
por: Pakdemirli, Emre
Publicado: (2019)

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists
por: Chu, Linda C., et al.
Publicado: (2020)

The augmented radiologist: artificial intelligence in the practice of radiology
por: Sorantin, Erich, et al.
Publicado: (2021)

Understanding PI-QUAL for prostate MRI quality: a practical primer for radiologists
por: Giganti, Francesco, et al.
Publicado: (2021)

Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer
por: Dikaios, Nikolaos, et al.
Publicado: (2018)

CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach
por: Burgos, Ninon, et al.
Publicado: (2015)

Is Artificial Intelligence the New Friend for Radiologists? A Review Article
por: Gampala, Sravani, et al.
Publicado: (2020)

The impact of artificial intelligence on the reading times of radiologists for chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2023)

The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review
por: Assadi, Hosamadin, et al.
Publicado: (2022)

Radiologist versus Non-Radiologist Detection of Lymph Node Metastasis in Papillary Thyroid Carcinoma by Ultrasound: A Meta-Analysis
por: Issa, Peter P., et al.
Publicado: (2022)

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
por: Schaffter, Thomas, et al.
Publicado: (2020)

Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists
por: Högberg, Charlotte, et al.
Publicado: (2023)

Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
por: Alsultan, Kamal
Publicado: (2023)

Perspectives of radiologists in Ghana about the emerging role of artificial intelligence in radiology
por: Edzie, Emmanuel Kobina Mesi, et al.
Publicado: (2023)

Hemodynamic matrix factorization for functional magnetic resonance imaging
por: Hütel, Michael, et al.
Publicado: (2021)

Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review
por: Offersen, Cecilie Mørck, et al.
Publicado: (2023)

Artificial Intelligence Advances in Transplant Pathology
por: Rahman, Md Arafatur, et al.
Publicado: (2023)

What the radiologist should know about artificial intelligence – an ESR white paper
Publicado: (2019)

The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
por: Santaolalla, Aida, et al.
Publicado: (2021)

Value of Artificial Intelligence in Evaluating Lymph Node Metastases
por: Caldonazzi, Nicolò, et al.
Publicado: (2023)

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
por: Pesapane, Filippo, et al.
Publicado: (2018)

Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography
por: Wan, Yun, et al.
Publicado: (2022)

Non‐radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports
por: Lim, Sophie Soyeon, et al.
Publicado: (2022)

AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance
por: Scannell, Cian M, et al.
Publicado: (2022)

The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review
por: Bernauer, Selina A., et al.
Publicado: (2021)

Artificial Intelligence in Colon Capsule Endoscopy—A Systematic Review
por: Moen, Sarah, et al.
Publicado: (2022)

Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework
por: Jena, Biswajit, et al.
Publicado: (2022)

Artificial Intelligence in Laryngeal Endoscopy: Systematic Review and Meta-Analysis
por: Żurek, Michał, et al.
Publicado: (2022)

Artificial Intelligence in the Diagnosis of Hepatocellular Carcinoma: A Systematic Review
por: Martinino, Alessandro, et al.
Publicado: (2022)

Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review
por: Amin, Doaa, et al.
Publicado: (2023)

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
por: Chadaga, Krishnaraj, et al.
Publicado: (2023)

Evaluation of radiologist’s knowledge about the Artificial Intelligence in diagnostic radiology: a survey-based study
por: Tajaldeen, Abdulrahman, et al.
Publicado: (2020)

Artificial Intelligence Empowers Radiologists to Differentiate Pneumonia Induced by COVID-19 versus Influenza Viruses
por: Sotoudeh, Houman, et al.
Publicado: (2020)

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections
por: Yang, Yanhong, et al.
Publicado: (2021)

No sonographer, no radiologist: Assessing accuracy of artificial intelligence on breast ultrasound volume sweep imaging scans
por: Marini, Thomas J., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2v99672huie2j09g2oo7vmaakm