New AI Model
Researchers at the Jameel Clinic for Machine Learning and MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have invented a deep learning (DL) model based on mammography. This model was identified to be effective in cancerous cells in women long before their clinical recognition.
The AI system is named Mirai. It is considered to have better chances of estimating the possibility of breast cancer from a mammogram than existing risk-assessment algorithms.
Why is it trending now?
Billionaire Anand Mahindra shared the news of AI in breast cancer detection on his X handle. Netizens have started a whole new discussion over the topic, which continues to create more engagement.
The news was shared at the right time as it pushed the topic of breast cancer issue to the forefront of debates again. At a time when a significant number of women are struggling with breast cancer, this is a welcome development.
Prior Studies
The importance of artificial intelligence in medicine has been studied by many scholars across the globe. Some of the benefits of using AI in medicine include:
- Increasing Efficiency—Artificial Intelligence can help improve the efficiency of imparting healthcare services to the people. AI can enhance the administrative workflow, act as a virtual nursing assistant, reduce dosage errors, and prevent fraudulent practices.
- Improving User Experience—The introduction of AI in medicine can improve patients’ experiences. Predictive analysis, speech recognition, etc., are still in the developing phase of being fully adopted into medicine.
- Diagnosis—AI is recognized as having the ability to diagnose risks early. Researchers have identified the potential of AI with deep learning, which can increase the capacity of systems to diagnose and analyze health risks.
- Preventive Care—Health and fitness monitors are highly popular today. These instruments help people and medical practitioners keep track of their health data and prevent many health risks.
Ref. URL:https://www.cancer.gov/sites/g/files/xnrzdm211/files/styles/cgov_article/public/cgov_image/media_image/2022-03/IDH1%20mutant%20glioblastoma.jpg?h=19b638d4&itok=dt_WKbyD
AI and Breast Cancer Risk
AI is increasingly used in the medical field of radiology. Some of the advantages of utilizing AI in assessing breast cancer risk involves:
- Imaging- It is the most fundamental process in identifying breast cancer. A mammogram can determine the presence of dangerous cancer cells in a woman’s breasts. With the help of AI, radiologists can provide detailed information about the size, location, density, etc., of the cancer cells.
- Efficiency—Utilizing AI in radiology increases the efficiency of the whole process. They would be able to provide quantitative analyses of the issue. They can make decisions that are data-driven rather than based on intuitions.
- Undetectable—Using AI in radiology can help radiologists detect cancer cells much earlier than through other practices. The most recent development of Mirai is an extension of this aspect of radiology.
- Resourceful- Another significant advantage of utilizing AI in breast cancer detection is the resourcefulness it brings to medicine. Allocation of medical resources is never equal in any country. In this light, AI in breast cancer detection and radiology can help people in low-income regions with early detection.
Mirai- What it Means to Healthcare
The detection of cancer cells causing breast cancer is a welcome move from every part of society. However, researchers are also aware of the potential miscalculations the AI model could have. It is considered as a ‘black box,’ which cannot be predicted at the moment. Continuous assessments and tests are being conducted at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) to functionalize the AI model to total efficiency