AI for Early Identification of Breast Cancer – Efficient and Accurate Diagnosis

By Michael Awood

September 15, 2023

Breast cancer is the second leading cause of cancer death in women. Early identification can ease this to ensure early access to treatment. Developed nations have vast mammography screening programs, but interpreting the images is still hard. The accuracy of cancer detection varies widely among experts, and the potential for improvement is significant. False positives can lead to patient anxiety, unnecessary follow-up, and invasive diagnostic procedures. Sometimes screening cannot identify cancers until they are more advanced and less amenable to treatment.

Artificial Intelligence (AI) can overcome this challenge. Studies show it can outperform human experts in many medical image analysis tasks. This leads us to evaluate AI’s potential to augment the early identification process of breast cancer through high-quality images.

Researchers recently tested a new AI system that predicts breast cancer using large datasets from the UK and the USA. The system outperformed radiologists in daily predictions, according to the researchers. They confirmed these observations with an independently conducted reader study. The system could generalize across different screening populations and settings without additional training data.

The AI system might reduce the workload involved in the double-reading process used in the UK while preserving the standard of care. The system could also provide automated, immediate feedback in the screening setting. This technology can sort cases at the risk level, making it possible to screen efficiently even with a limited workforce.

Overall, the AI was better than radiologists at identifying breast cancer. These results held across two large datasets that represent different screening populations and practices. However, the optimal use of the AI system within clinical workflows remains to be determined.

Cover image taken from the journal article. 

Reference url

Recent Posts

Cutaneous Malignant Melanoma Treatment

Forecasting Innovations in Cutaneous Malignant Melanoma Treatment in Sweden

“Shaping Melanoma Care: Insights for UV Safety Month”

🌟 Exciting Insights! Learn how system dynamics modelling shapes the future of cutaneous malignant melanoma care during UV Safety Month. Discover key strategies for better healthcare planning and patient outcomes. #SyenzaNews #UVSafetyMonth #HealthcarePlanning #MelanomaCare #PreventiveInterventions 🏥

skin cancer primary prevention

Enhancing Skin Cancer Prevention in a Primary Care Setting

🌞 Discover the latest strategies in skin cancer primary prevention! From innovative risk assessment tools to new technologies, learn how primary care can play a pivotal role in reducing skin cancer rates.
🩺👩‍⚕️👨‍⚕️ #SyenzaNews #Healthcare #SkinCancerPrevention #PrimaryCare #Innovation

Valvular heart disease in Saudi Arabia

Addressing Valvular Heart Disease in Saudi Arabia

#SyenzaNews 🚀 Valvular heart disease (VHD) is a growing concern in Saudi Arabia, especially among the ageing population.
Discover the current challenges and actionable recommendations to enhance VHD care.

Let’s work together to improve awareness, detection, and treatment! #Healthcare #Cardiology #SaudiArabia #HealthyAging 🌟

When you partner with Syenza, it’s like a Nuclear Fusion.

Our expertise are combined with yours, and we contribute clinical expertise and advanced degrees in health policy, health economics, systems analysis, public finance, business, and project management. You’ll also feel our high-impact global and local perspectives with cultural intelligence.



1950 W. Corporate Way, Suite 95478
Anaheim, CA 92801, USA



© 2024 Syenza™. All rights reserved.