Looks like artificial intelligence is smarter than man, and cancer! As a new program has just blown the medical world away in just one month.
AI Develops Treatment For Cancer in 30 Days
An artificial intelligence (AI) model has been shown to forecast a patient’s survival rate using the treating doctor’s notes. This is an important advancement in cancer diagnosis and treatment.
Currently, cancer prognosis is often predicted with only generic variables like tumor location and tissue type. This approach is not suited for cancer patients who have unique medical conditions.
In just 30 days, Artificial Intelligence (AI) has created a cancer treatment.
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Scientists have created an AI tool capable of predicting a cancer patient’s survival rate by analyzing their doctor’s notes. The AI model identifies characteristics unique to each patient, and can accurately predict six-month, 36-month and 60-month survival rates with greater than 80 percent accuracy.
It’s also being used to identify cancer-related drug targets, which could lead to new drug development. One example is a recent study that shows that AI can develop a treatment for hepatocellular carcinoma in just 30 days.
It’s a significant step forward in cancer research, and will potentially help to speed up the discovery of new drugs. However, it will also come with some challenges. First, the process of drug discovery is often long and expensive. Additionally, understanding the research outcomes can be challenging. Furthermore, ensuring the beneficial impact of newly developed drugs on patients poses a significant difficulty.
AI can predict a patient’s survival rate
A recent study published in JAMA Network Open found that AI can predict a patient’s survival rate from data gleaned from their initial consultation with an oncologist. Through the utilization of natural language processing, the model successfully predicted survival rates at 6 months, 36 months, and 60 months, demonstrating at least comparable performance to previous models.
Cancer has made incredible progress in the past few decades, but many patients are still not cured. Even with new treatments such as immunotherapy and targeted therapy, there are many who aren’t sensitive enough to these treatments or who become resistant to them over time.
Until now, this meant that doctors had a difficult decision to make: whether they should treat their patients with a treatment that will do more harm than good or if they should wait for better options.
Researchers are exploring how AI could help doctors decide more objectively. This is important as patients with serious illness often end up at the mercy of medical providers who may not prioritize their quality of life.
AI can identify lung nodules on chest X-rays
In a randomized study, researchers found that artificial intelligence (AI) can improve the detection of lung nodules on chest X-rays. These unusual growths are frequently seen, usually developing from past lung infections, although they can occasionally indicate a potential for lung cancer in rare instances.
In this diagnostic study, the researchers analyzed 5,485 images taken from patients who participated in the National Lung Screening Trial. They tested an AI algorithm on each image to assess its accuracy.
The researchers compared the performance of a commercially available AI-based computer-aided diagnosis (CAD) software algorithm (Lunit INSIGHT CXR, version 2.0.2.0) as a second reader in detecting pulmonary nodules with radiologists of two binational institutions. The AI performed better on a number of metrics when compared with the radiologist alone.
AI can predict a patient’s life expectancy
AI-powered drug discovery could lead to new treatments that are faster and more effective than current ones. It would be a big improvement for diseases like cancer where time is of the essence, and patients need their treatments as soon as possible.
Artificial intelligence has developed a system that can predict a patient’s life expectancy using data from CT scans. The technology analyzes a patient’s risk of death with common body scans, which may help doctors catch diseases earlier and prompt them to make changes that can increase a person’s life span.
The system uses natural language processing (NLP), a branch of AI that understands complex human language, to analyze oncologist notes following a patient’s initial consultation visit. It then identifies characteristics unique to each patient and predicts six-month, 36-month and 60-month survival with greater than 80 percent accuracy.
Doctors often struggle with difficult decisions about treatment, such as whether to aggressively treat a patient with little time left or whether to try an experimental approach. The system helps them make those decisions more objectively, and gives them a better understanding of the patients’ condition.
