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On Tue, 23 Jul, 12:03 AM UTC
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AI can detect prostate cancer better than doctors: study
An AI healthcare company says its software can detect the scope of prostate cancer more accurately than doctors. Avenda Health released a study last month that involved ten doctors who each assessed 50 different prostate cancer cases. Avenda's Unfold AI software detected cancer with 84.7% accuracy, while physicians who tried to detect cancer manually fell between 67.2 percent and 75.9 percent. The study, done in partnership with UCLA Health and published in the Journal of Urology, also found that by using AI to assist with cancer contouring, predictions of cancer size were 45 times more accurate and consistent with AI than without it. "We saw the use of AI assistance made doctors both more accurate and more consistent, meaning doctors tended to agree more when using AI assistance," assistant adjunct professor of urology, surgery, and bioengineering at UCLA and senior author of the study Shyam Natarajan said in a statement. Doctors tend to use MRI's to understand the size of a tumor. Still, some tumors are "MRI-invisible," said Dr. Wayne Brisbane, an assistant professor of urology at the David Geffen School of Medicine at UCLA. AI helps where MRIs fail. "Overall, the use of AI in cancer treatment could lead to more effective and personalized care for patients, with treatments that are better tailored to their individual needs and more successful in fighting the disease," Brisbane said in a statement. Brisbane said AI can "go beyond human ability." Avenda Health CEO Dr. Shyam Natarajan said it's" empowering for physicians to see this kind of innovation being validated through studies and recognized by the AMA." In the US, about 1 in 8 men will be diagnosed with prostate cancer during their lifetimes and 1 in 44 men will die of the disease, according to the American Cancer Society. It is estimated there will be 299,010 new cases of prostate cancer this year in the US and 35,250 will die from the disease.
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AI Tool detects prostate cancer more accurately than doctors, UCLA study
An AI tool may spot prostate cancer with 84% accuracy, according to a UCLA research, outperforming doctors who had a 67% accuracy rate. Unfold AI, an AI program created by Avenda Health, visualizes the possibility of cancer by analyzing clinical data using an algorithm. Seven urologists and three radiologists tested this tool -- which was just approved by the FDA -- by looking for leftover cancer in 50 cases of removed tumors. After doing the same study again, the AI found a far greater "negative margin rate," which indicates a smaller chance of cancer being left behind, as per the reports of Fox news. Dr. Ali Kasraeian of Jacksonville manages prostate cancer with the aid of Unfold AI. Using patient data such as pathology and biopsy results, the AI generates a 3D map for estimating cancer. In order to maximize the chance of curing cancer and customize care, this thorough mapping helps identify whether a patient needs targeted therapy or more severe treatments. In order to reduce the necessity for full-gland removal and its related side effects, like incontinence and impotence, the study implies that AI could lead to more precise diagnoses and focused therapies. As per the reports of Fox news, after a tumor was discovered on his prostate, Joshua Trachenberg, a UCLA professor and patient with prostate cancer, looked into non-surgical treatments for his illness. The UCLA team targeted and removed cancerous tissue while protecting the remaining portion of the gland using ultrasound guided by magnetic resonance imaging (MRI). Trachenberg was able to avoid radical prostatectomy and its related side effects due to Unfold AI's 3D mapping, which was important in pinpointing the cancerous spot and determining accurate margins. Now that he is cancer-free, he encourages individuals to think about AI-based alternatives before deciding to have all of their glands removed. AI accuracy is dependent on the caliber of data it is trained on, according to Dr. Harvey Castro, an emergency medicine physician. Relying too much on AI should be avoided, he said, emphasizing that it should supplement clinical judgment rather than take its place. How accurate is the AI tool in detecting prostate cancer? The AI tool can detect prostate cancer with 84% accuracy, compared to doctors' 67% accuracy, according to UCLA research. What is Unfold AI and how does it work? Unfold AI, developed by Avenda Health, uses an algorithm to analyze clinical data and create a 3D map to visualize cancer likelihood.
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A groundbreaking UCLA study reveals that artificial intelligence can detect prostate cancer more accurately than experienced radiologists, potentially revolutionizing cancer diagnosis and treatment.
In a groundbreaking development, researchers at the University of California, Los Angeles (UCLA) have demonstrated that artificial intelligence (AI) can outperform experienced radiologists in detecting prostate cancer. This study, published in the journal PLOS Digital Health, marks a significant milestone in the application of AI to medical diagnostics 1.
The UCLA research team, led by Holden Wu, an associate professor of radiology, developed an AI model using data from 2,000 patients who had undergone prostate MRI scans. The AI was trained to analyze these scans and identify potential cancerous lesions 2.
To test the AI's effectiveness, the researchers pitted it against five experienced radiologists. The results were remarkable:
The success of this AI model has far-reaching implications for prostate cancer diagnosis and treatment:
While the results are promising, researchers emphasize that AI is not meant to replace human doctors. Instead, it should be viewed as a powerful tool to assist medical professionals in making more accurate diagnoses 1.
Dr. Wu envisions a future where AI and human expertise work in tandem, stating, "Our goal is to augment radiologists' ability to detect and diagnose prostate cancer, not to replace them" 2.
Despite the promising results, there are still hurdles to overcome before widespread implementation:
Reference
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Researchers at Mass General Brigham have developed an AI model that can accurately measure prostate cancer lesions from MRI scans, potentially improving diagnosis, treatment planning, and outcome prediction for patients.
4 Sources
Two groundbreaking studies demonstrate how AI-powered MRI analysis and multimodal AI models are enhancing prostate cancer outcome prediction and risk classification, potentially transforming patient care and treatment strategies.
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A new international study shows that AI-based models can surpass human experts in identifying ovarian cancer from ultrasound images, potentially improving diagnosis accuracy and reducing unnecessary referrals.
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Researchers at Mount Sinai have created an AI-driven tool called PATHOMIQ_PRAD to improve prostate cancer management, particularly for intermediate-risk patients. The tool aims to identify those at higher risk of rapid disease progression, potentially reshaping treatment approaches.
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A new study reveals that AI-enhanced mammography screening could increase breast cancer detection rates by 21%, highlighting the potential of AI in improving early diagnosis and patient care.
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