Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?

Ozcan, B. Bersu; Wanniarachchi, Hashini; Mason, Ralph P.; Dogan, Basak E.

doi:10.1007/s00330-024-10600-2

Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.

Eur Radiol

2024

DOI: 10.1007/s00330-024-10600-2

|View full text |Cite

Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?

B. Bersu Ozcan,

Hashini Wanniarachchi,

Ralph P. Mason

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

New Frontiers in Breast Cancer Imaging: The Rise of AI

Shamir,

Sasson,

Margolies

et al. 2024

Bioengineering

View full text Add to dashboard Cite

Artificial intelligence (AI) has been implemented in multiple fields of medicine to assist in the diagnosis and treatment of patients. AI implementation in radiology, more specifically for breast imaging, has advanced considerably. Breast cancer is one of the most important causes of cancer mortality among women, and there has been increased attention towards creating more efficacious methods for breast cancer detection utilizing AI to improve radiologist accuracy and efficiency to meet the increasing demand of our patients. AI can be applied to imaging studies to improve image quality, increase interpretation accuracy, and improve time efficiency and cost efficiency. AI applied to mammography, ultrasound, and MRI allows for improved cancer detection and diagnosis while decreasing intra- and interobserver variability. The synergistic effect between a radiologist and AI has the potential to improve patient care in underserved populations with the intention of providing quality and equitable care for all. Additionally, AI has allowed for improved risk stratification. Further, AI application can have treatment implications as well by identifying upstage risk of ductal carcinoma in situ (DCIS) to invasive carcinoma and by better predicting individualized patient response to neoadjuvant chemotherapy. AI has potential for advancement in pre-operative 3-dimensional models of the breast as well as improved viability of reconstructive grafts.

show abstract

New Frontiers in Breast Cancer Imaging: The Rise of AI

Shamir,

Sasson,

Margolies

et al. 2024

Bioengineering

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?

Cited by 1 publication

References 77 publications

New Frontiers in Breast Cancer Imaging: The Rise of AI

New Frontiers in Breast Cancer Imaging: The Rise of AI

Contact Info

Product

Resources

About