Artificial Intelligence for Cancer Detection? Let us find out!
Artificial Intelligence is something that we hear about day in and day out. Artificial Intelligence has become the most adapting tool all across the world. It is being incorporated into our daily lives, and in our work lives as well. With so many advancements happening around, is AI being incorporated into the field of medicine as well? The answer is YES!
AI tools like ChatGPT and DALL-E aren’t exactly thinking for themselves yet, but the speed at which these advanced algorithms are improving is making some people nervous. But what good things can this tech bring to the table? One is the very early detection of Cancer cells. AI is making a big splash in cancer care! It’s gone from being a futuristic idea to something doctors are using every day. Studies show it could be even more useful in the future.
Mount Sinai Medical Center
The US government has already approved a bunch of AI tools for cancer, especially for looking at X-rays and other medical images. A recent study found that most of these AI tools are used in radiology (over 50%) and pathology (almost 20%). Breast cancer is the most common type of cancer that these tools help with.
The AI for Breast Cancer “assists with tasks such as determining breast density, determining the quality of a mammogram, triaging mammograms into those at low, intermediate, or elevated risk of having breast cancer, identifying those at risk for atherosclerotic disease, and identifying breast cancers,” said Laurie Margolies, MD, of Mount Sinai in New York.
SciTech Daily
“AI can also be used with breast ultrasound exams to provide an additional piece of information — that is, whether the computer algorithm thinks a breast ultrasound finding is likely to be a cancer,” Dr Margolies added.
AI is also being used to “improve the efficiency of radiation treatment planning and assisting with tumor and organ contouring, thus increasing the speed to therapy and improving the effectiveness and safety of radiation delivery,” Dr Haddad said.
“Breast imaging is ripe for AI research, and future applications might be able to identify near- and long-term breast cancer risk, perhaps better than family history or as a tool to be used in conjunction with family history,” Dr Margolies said.
Dr. Haddad added that AI could ultimately transform biomarker assessment and molecular characterization of cancers to inform prognosis and treatment decisions, thus obviating the need for invasive biopsies and the long wait for results in some cases.
ICterra
“Imagine this being made possible through a blood draw or a noninvasive ‘virtual biopsy’ made possible by using MRI radionics; for example, a deep learning model could evaluate a brain MRI and determine if a brain tumor has a specific genetic mutation, such as IDH1 or BRAF,” she said.
In a study published in 2023, Haver et al found that ChatGPT generated accurate responses to 88% of questions regarding screening and prevention of breast cancer, as confirmed by breast radiologists.
AI Business
Experts say there are some roadblocks we need to fix before AI can truly shine in treating cancer patients.
- Data Diversity Matters: Dr. Haddad warns that AI models trained on limited data can be biased and worsen existing healthcare inequalities. He stresses the need for diverse datasets that reflect the real patients who will be using these AI tools. Otherwise, they might not work well and could even harm certain groups.
- Sharing is Caring: Dr. Elemento points out that many medical centers are hesitant to share their data, which makes it hard to build diverse and robust AI models. We need more collaboration and data sharing to unlock the full potential of AI in cancer care.
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