With the explosion of AI over the last few years, the healthcare industry isn’t a stranger when it comes to recognizing the benefits of artificial intelligence. In a new report from The New York Times, a team of researchers has made a major breakthrough in the detection of breast cancer using an artificial intelligence program in Hungary. According to a recent report in The New York Times, researchers have developed a new AI system that can detect breast cancer with greater accuracy than human doctors.
One of the clearest benefits of this new AI program is by giving medical providers a more accurate and efficient way to screen for the disease. When breast cancer is caught in its earliest stages, treatment is not only less invasive but is less costly overall. This would not only save billions of dollars in medical spending but could also reduce the mortality rate of breast cancer in the long term. According to the American Cancer Society, breast cancer is the most common cancer among women worldwide, and early detection is critical for improving survival rates.
The system was trained using a dataset of mammogram images from over 60,000 patients and was designed to identify patterns and features associated with breast cancer. In tests, the system was able to accurately detect breast cancer in 99% of cases, compared to 96% for human radiologists. The three percent difference easily means thousands of patients annually. While mammography is currently the standard method for breast cancer screening, it has limitations, such as false positives and false negatives.
In addition to improving accuracy, the AI system could also help to reduce costs and improve efficiency. Mammography screenings can be time-consuming and expensive and are often limited in availability in certain regions. That’s because mammography requires specialized equipment and trained personnel, which can limit its availability in certain regions. With the new AI system, breast cancer screening could be more widely accessible and affordable, potentially saving lives and reducing healthcare costs by making screenings more cost-effective.
Another way this AI program could reduce costs associated with breast cancer screenings, thus potentially expanding access, is by reducing the number of false positives and false negatives in breast cancer screening, the new AI system could also help to reduce healthcare costs by minimizing unnecessary follow-up tests and treatments.
Of course, there are still challenges that need to be addressed before the new AI system can be implemented on a wider scale. One concern is the need for additional research and testing to ensure that the system is safe and effective for use in clinical settings. However, despite these challenges, the breakthrough in AI and breast cancer detection represents a major step forward in the fight against cancer and has the potential to save countless lives in the years to come.
If you’re interested in how AI and Machine Learning can transform healthcare, then ODSC East’s Machine Learning for Biotech, Pharma, & Healthcare track might interest you. Join us, and learn about the latest advancements, trends, and topics from experts who are leading the intersection of AI and Biotech, Pharma, and Healthcare