Cargando…

Artificial intelligence-directed prognostication of breast cancer

Detalles Bibliográficos
Autores principales:	Nasrazadani, Azadeh, Brufsky, Adam M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2019
Materias:	Commentary
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712046/ https://www.ncbi.nlm.nih.gov/pubmed/31378696 http://dx.doi.org/10.1016/j.ebiom.2019.07.073

Ejemplares similares

Ovarian function suppression as a potential mechanism of chemotherapy
por: Gomez Marti, Juan Luis, et al.
Publicado: (2021)

Statins and endocrine resistance in breast cancer
por: Hyder, Tara, et al.
Publicado: (2021)

Approaching Neoadjuvant Therapy in the Management of Early-Stage Breast Cancer
por: Hyder, Tara, et al.
Publicado: (2021)

Twenty-Year Follow-Up of a Phase II Trial of Taxotere/Carboplatin/Herceptin in Patients With Metastatic HER2-Positive Breast Cancer
por: Gomez Marti, Juan Luis, et al.
Publicado: (2023)

Artificial intelligence in breast cancer diagnostics
por: La Porta, Caterina AM., et al.
Publicado: (2022)

Breast cancer mortality as a function of age
por: Nasrazadani, Azadeh, et al.
Publicado: (2022)

Boning up: amino-bisphophonates as immunostimulants and endosomal disruptors of dendritic cell in SARS-CoV-2 infection
por: Brufsky, Adam, et al.
Publicado: (2020)

Aromatase Inhibitor-Associated Musculoskeletal Syndrome: Understanding Mechanisms and Management
por: Hyder, Tara, et al.
Publicado: (2021)

P-REALITY X: A Real-World Analysis of Palbociclib Plus an Aromatase Inhibitor in HR+/HER2− Metastatic Breast Cancer—A Podcast
por: Brufsky, Adam, et al.
Publicado: (2023)

Artificial intelligence, human intelligence, and the future of public health
por: Bhattacharya, Sudip
Publicado: (2022)

Artificial intelligence and improved early detection for pancreatic cancer
por: Zhong, Jun, et al.
Publicado: (2023)

Current Approaches and Emerging Directions in HER2-resistant Breast Cancer
por: Brufsky, Adam M
Publicado: (2014)

Distinct viral clades of SARS‐CoV‐2: Implications for modeling of viral spread
por: Brufsky, Adam
Publicado: (2020)

Artificial Intelligence in Dermatology: Challenges and Perspectives
por: Liopyris, Konstantinos, et al.
Publicado: (2022)

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

Artificial Intelligence and Big Data in Public Health
por: Benke, Kurt, et al.
Publicado: (2018)

The role of artificial intelligence in tackling COVID-19
por: Arora, Neelima, et al.
Publicado: (2020)

Artificial intelligence: opportunities and implications for the health workforce
por: Hazarika, Indrajit
Publicado: (2020)

Commentary: Artificial intelligence–A game changer
por: Ahuja, Ashish, et al.
Publicado: (2020)

Artificial intelligence in ophthalmology: A multidisciplinary approach
por: Ahuja, Abhimanyu S., et al.
Publicado: (2022)

Commentary: Artificial intelligence-based screening of retina
por: Bansal, Mayank, et al.
Publicado: (2022)

Commentary: Is human supervision needed for artificial intelligence?
por: Akkara, John Davis, et al.
Publicado: (2022)

Artificial intelligence for science—bridging data to wisdom
por: Xu, Yongjun, et al.
Publicado: (2023)

Developing a curriculum in artificial intelligence for emergency radiology
por: Weisberg, Edmund M., et al.
Publicado: (2020)

Precision Medicine in Hormone Receptor-Positive Breast Cancer
por: Nasrazadani, Azadeh, et al.
Publicado: (2018)

DC/L‐SIGNs of hope in the COVID‐19 pandemic
por: Brufsky, Adam, et al.
Publicado: (2020)

The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
por: Smit, Marloes A, et al.
Publicado: (2020)

Predictive and Prognostic Value of the 21-Gene Recurrence Score in Hormone Receptor–positive, Node-positive Breast Cancer
por: Brufsky, Adam M.
Publicado: (2014)

Artificially intelligent proteomics improves cardiovascular risk assessment
por: Sze, Siu Kwan
Publicado: (2019)

Artificial intelligence to support clinical decision-making processes
por: Garcia-Vidal, Carolina, et al.
Publicado: (2019)

Commentary: Rise of machine learning and artificial intelligence in ophthalmology
por: Akkara, John Davis, et al.
Publicado: (2019)

Artificial intelligence in drug development: clinical pharmacologist perspective
por: Jang, In-Jin
Publicado: (2019)

Artificial Intelligence in medical imaging practice: looking to the future
por: Lewis, Sarah J, et al.
Publicado: (2019)

Artificial intelligence, robotics and eye surgery: are we overfitted?
por: Urias, Müller G., et al.
Publicado: (2019)

Artificial Intelligence in Health Care: Insights From an Educational Forum
por: Barbour, Andrew B, et al.
Publicado: (2020)

Commentary: Artificial intelligence for everything: Can we trust it?
por: Akkara, John Davis, et al.
Publicado: (2020)

An Overview of Artificial Intelligence Applications in Liver and Pancreatic Imaging
por: Cardobi, Nicolò, et al.
Publicado: (2021)

Teaching artificial intelligence as a fundamental toolset of medicine
por: Ötleş, Erkin, et al.
Publicado: (2022)

Artificial Intelligence: First Do the Long Overdue Doable
por: Patwardhan, Avinash
Publicado: (2023)

mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology
por: Yakimovich, Artur
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_iju503bgp2g3b5tn5773rpts8c