Cargando…

Can Artificial Intelligence Beat Humans in Detecting Breast Malignancy on Mammograms?

Background: The study was aimed at identifying how useful Computer-Aided Detection (CAD) could be in reducing false-negative reporting in mammography and early detection of breast cancer at an early stage as the best protection is early detection. Materials and methods: This retrospective study was...

Descripción completa

Detalles Bibliográficos
Autores principales:	Malik, Mariam, Yasmin, Saeeda, Kumar, Anish, Hassan, Yumna, Rizvi, Yusra, , Iffat
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cureus 2023
Materias:	Radiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614479/ https://www.ncbi.nlm.nih.gov/pubmed/37908910 http://dx.doi.org/10.7759/cureus.46208

Ejemplares similares

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

Artificial Intelligence in Breast Ultrasound: The Emerging Future of Modern Medicine
por: Mahant, Srushti S, et al.
Publicado: (2022)

Renal Cell Carcinoma Diagnosis After Initial Detection on Screening Mammogram
por: Nguyen, Quan D, et al.
Publicado: (2020)

Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms
por: Tardy, Mickael, et al.
Publicado: (2022)

Evaluation of an Artificial Intelligence System for Detection of Invasive Lobular Carcinoma on Digital Mammography
por: Arce, Sylvia, et al.
Publicado: (2023)

Application of artificial intelligence in predicting lymph node metastasis in breast cancer
por: Windsor, Gabrielle O., et al.
Publicado: (2023)

The promise and limitations of artificial intelligence in musculoskeletal imaging
por: Debs, Patrick, et al.
Publicado: (2023)

Review and Prospect: Artificial Intelligence in Advanced Medical Imaging
por: Wang, Shanshan, et al.
Publicado: (2021)

Current Perspectives of Artificial Intelligence in Pediatric Neuroradiology: An Overview
por: Martin, Dann, et al.
Publicado: (2021)

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

COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence
por: Baruah, Dhiraj, et al.
Publicado: (2022)

Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes
por: Nguyen, Minh B., et al.
Publicado: (2022)

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

Workforce Crisis in Radiology in the UK and the Strategies to Deal With It: Is Artificial Intelligence the Saviour?
por: Kalidindi, Sadhana, et al.
Publicado: (2023)

Overcoming Fear, Uncertainty, and Doubt: Artificial Intelligence (AI) and the Value of Trust
por: Carpio, Erwin John T
Publicado: (2023)

Artificial intelligence in neuroradiology: a scoping review of some ethical challenges
por: Khosravi, Pegah, et al.
Publicado: (2023)

The General Population’s Perspectives on Implementation of Artificial Intelligence in Radiology in the Western Region of Saudi Arabia
por: Bahakeem, Basem H, et al.
Publicado: (2023)

Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
por: Hunter, Joshua G, et al.
Publicado: (2023)

Application of Artificial Intelligence and Machine Learning in Diagnosing Scaphoid Fractures: A Systematic Review
por: Orji, Chijioke, et al.
Publicado: (2023)

Clinical Applications of Artificial Intelligence, Machine Learning, and Deep Learning in the Imaging of Gliomas: A Systematic Review
por: Alhasan, Ayman S
Publicado: (2021)

Comparison of Chest Computed Tomography Between the Two Waves of Coronavirus Disease 2019 in Belgium Using Artificial Intelligence
por: De Lucia, Federico, et al.
Publicado: (2022)

Artificial Intelligence and Machine Learning for Automated Cephalometric Landmark Identification: A Meta-Analysis Previewed by a Systematic Review
por: Rauniyar, Sabita, et al.
Publicado: (2023)

Evaluation of an artificial intelligence support system for breast cancer screening in Chinese people based on mammogram
por: Bao, Chengzhen, et al.
Publicado: (2022)

Australian women's judgements about using artificial intelligence to read mammograms in breast cancer screening
por: Carter, Stacy M, et al.
Publicado: (2023)

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

A Case of Bilateral Inflammatory Breast Cancer
por: Levy, Sydney, et al.
Publicado: (2023)

The Efficacy of Clinical Breast Exams and Breast Self-Exams in Detecting Malignancy or Positive Ultrasound Findings
por: Huang, Nicole, et al.
Publicado: (2022)

Artificial Intelligence (AI) in Radiology: A Deep Dive Into ChatGPT 4.0's Accuracy with the American Journal of Neuroradiology's (AJNR) "Case of the Month"
por: Suthar, Pokhraj P, et al.
Publicado: (2023)

Characterization of Breast Lesions Using a Novel Combined Approach of Ultrasonography and Elastography Prior to Invasive Procedures: Are New Age Modalities Set to Replace the Diagnostic Giant?
por: Khanduri, Sachin, et al.
Publicado: (2019)

Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
por: Trang, Nguyen Thi Hoang, et al.
Publicado: (2023)

Mammographic Criteria for Determining the Diagnostic Accuracy of Microcalcifications in the Detection of Malignant Breast Lesions
por: Hadi, Qurat, et al.
Publicado: (2019)

Spectrum of Chest Dual-Energy Computed Tomography Findings in COVID Patients in North India
por: Khanduri, Sachin, et al.
Publicado: (2021)

Identifying normal mammograms in a large screening population using artificial intelligence
por: Lång, Kristina, et al.
Publicado: (2020)

Evaluating the Association Between Comorbidities and COVID-19 Severity Scoring on Chest CT Examinations Between the Two Waves of COVID-19: An Imaging Study Using Artificial Intelligence
por: Ajmera, Pranav, et al.
Publicado: (2022)

New trend in artificial intelligence-based assistive technology for thoracic imaging
por: Yanagawa, Masahiro, et al.
Publicado: (2023)

Multiparametric Magnetic Resonance Imaging in Evaluation of Benign and Malignant Breast Masses with Pathological Correlation
por: GR, Varshitha, et al.
Publicado: (2022)

Can Magnetic Resonance Imaging Replace Mammography and Ultrasonography for the Detection of Breast Lesions?
por: Yilmaz, Yeliz, et al.
Publicado: (2020)

A 52-Year-Old Woman Presenting With a Right Breast Mass: A Case Report
por: Frantz, Robert P, et al.
Publicado: (2022)

Value of Elastography in Differentiating Benign from Malignant Breast Lesions Keeping Histopathology as Gold Standard
por: Farooq, Faryal, et al.
Publicado: (2019)

Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept
por: Skarping, I., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_cttbsopt4m44avklj421680u2u