Case examples to demonstrate positive and negative impacts of a deep learning based concurrent artificial intelligence system for digital breast tomosynthesis

Congress:

ECR 2019

Poster Number:

C-2151

Type:

Educational Exhibit

Keywords:

Education and training, Computer Applications-Detection, diagnosis, Neural networks, Mammography, Computer applications, Breast, Artificial Intelligence

Authors:

E. F. Conant¹, A. Y. Toledano², S. Periaswamy³, S. Fotin³, J. Go³, J. Pike³, J. boatsman⁴, J. Hoffmeister³; ¹Philadelphia/US, ²Kensington/US, ³Nashua, NH/US, ⁴San Antonio, TX/US

DOI:

10.26044/ecr2019/C-2151

DOI-Link:

https://dx.doi.org/10.26044/ecr2019/C-2151

Conclusion

The case examples provided may help radiologists more effectively use AI incorporated with DBT (Figure 30).

Fig. 30: Summary -- Effective use of AI with DBT