Worldwide, breast cancer remains one of the prevalent healthcare concerns, where 50% of women don’t survive the disease due to late detection of the disease. That’s why early detection is critical and crucial, but often traditional methods face challenges that cause difficulty in detecting cancer in the early stage. But now it’s time to shift the focus from traditional techniques of screening to innovative technologies that promise great accuracy and early detection of breast cancer. The AI in breast cancer screening and thermal imaging for breast cancer detection are two groundbreaking solutions in the healthcare field. From urban hospitals to rural clinics and corporations, this innovative integration of AI with thermal imaging can revolutionize the early detection, curing and saving the life of cancer-exposed women.
This blog explores how innovative technology like NIRAMAI Thermalytix is transforming breast cancer detection, combining accuracy and care, to fight one of the most common diseases in women.
How does AI and Thermal Imaging Improve Early Breast Cancer Detection?
AI in Breast Cancer Screening
Artificial intelligence has re-envisioned healthcare by automating complex procedures and improving diagnostic accuracy. The AI breast cancer detection analyzes and identifies the abnormalities with speed and precision, even those abnormalities that are subtle to the traditional methods.
It is said that the use of AI has led to a significant reduction in false-positive rates by 37.3% and biopsy requests by 27.8% while maintaining sensitivity.
The role of AI in revolutionizing breast cancer screening has become a significant mark in healthcare. AI is using the most recent and the largest datasets to better analyze the disease, which makes it an indispensable tool in the healthcare field. These tools prevent human errors, cut the diagnosis time and provide the right information, which, in turn, gives the opportunity for an earlier treatment.
Thermal Imaging Technology
Thermal imaging is a non-invasive breast cancer screening method which is paired with computer algorithms for thermal analysis. This may lessen subjectivity and enable automated quantitative interpretation, making the interpretation process more factual. Machine learning algorithms are used to provide scores based on medically interpretable criteria that characterize the metabolic activity within breast tissue and suggest the possibility of cancer. By identifying these abnormalities, thermal imaging will help in the early detection of breast cancers quickly and accurately.
When combined with AI, thermal imaging technology achieves higher accuracy rates. AI-powered analysis of thermal data can identify patterns indicative of malignancies, enabling healthcare providers to act quickly and confidently.
Key Benefits of AI and Thermal Imaging in Breast Cancer Screening
Early Detection of Breast Cancer
Thermalytix, an AI-based breast cancer detection tool has been deployed across diverse clinical sites and screening camps, Its high precision ensures that women at higher risk are prioritized for early diagnosis and intervention. By enabling non-invasive cancer screening, AI-powered technologies like Thermalytix can identify cancer in its very early stages, significantly improving patient outcomes. Early detection allows for less aggressive treatment options and greatly increases the chances of full recovery.
Non-Invasive Screening Method
Thermal breast imaging offers a no-contact testing, painless and radiation-free method when compared to traditional methods. Which keeps the patient comfortable, and this way more women patients will be encouraged to have routine checkups and leave behind the fear factors of traditional methods.
Cost-Effective Solution
AI-based systems with thermal imaging provide for a significant reduction in breast cancer screening costs along with the avoidance of expensive infrastructure.
Portability and Accessibility
Thermal imaging-based diagnostic tools are portable and need minimal training in order to operate, which signifies that they are perfect for health clinics, community hospitals, and wellness centers of companies. Such devices are set in localities far from hospitals, making them available to the populations that do not have such services.
Scalability for Healthcare Providers
Hospitals and diagnostic centers can efficiently expand their screening services through AI-powered solutions, which enables them to serve more patients.
Implications for Businesses and Healthcare Providers
Hospitals and Diagnostic Centers
Deployed across 150+ clinical sites and over 10000+ screening camps, Thermalytix’s AI algorithms have successfully triaged over 250,000 women from various socio economic backgrounds, demonstrating its scalability and reliability in diverse settings. Embracing this advanced AI-based technology alongside thermal imaging is crucial for healthcare providers, as it enhances diagnostic accuracy, streamlines processes by reducing waiting times, and enables more efficient breast cancer screening services. Hospitals and diagnostic centers leveraging these tools can significantly improve patient outcomes, making early detection and treatment more accessible and effective.
What is NIRAMAI?
ThermalytixTM, an artificial intelligence-powered computer-aided diagnostic engine, is the foundation of NIRAMAI’s solution. The solution analyzes thermal pictures using a cloud-hosted analytics program and high-resolution thermal sensing hardware.
Why NIRAMAI?
There have been many clinical studies published on NIRAMAI’S technology, which support its accuracy and reliability in detecting breast cancer in its early stages. Thermalytix is an artificial intelligence and machine learning-based tool that analyzes a person’s body’s thermogram, or heat map, to identify cancer early on. Thermalytix’s machine learning system was developed using a sizable thermogram dataset. Thermalytix™ demonstrated an overall sensitivity of 91.02% (95% CI, 81.8% to 96%), a specificity of 82.39% (95% CI, 78.2% to 86%), and an NPV of 97.88% in the detection of breast malignancy. The sensitivity and specificity in the asymptomatic screening population were 100% and 92.41%, respectively.
Conclusion
The convergence of AI and thermal imaging is transforming breast cancer screening, offering unprecedented accuracy, accessibility, and affordability. By adopting these advancements, we can collectively work towards reducing the global burden of breast cancer and saving countless lives.
For those seeking cutting-edge breast cancer screening solutions, NIRAMAI offers a pioneering approach. With its AI-powered, non-invasive, and portable device, Thermalytix empowers healthcare providers and corporations to make breast cancer screening accessible and reliable, ensuring early detection and better care outcomes.