Nearly 20,000 women in the United States get it Diagnosis of ovarian cancer Every year, artificial intelligence emerges as a potential life-saving tool.
In a new study conducted by researchers at the Karolinska Institute in Sweden, Artificial intelligence models They did a better job of detecting ovarian cancer than human doctors.
The research, published in the journal Nature Medicine, tested the AI model's ability to distinguish between benign and malignant lesions on the ovaries, according to a press release.
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The AI model was trained on more than 17,000 ultrasound images from 3,652 patients in 20 hospitals in eight countries, the statement said.
“Access to high-quality diagnostics could become more accessible, especially in areas with limited access to experienced examiners,” one of the study authors said. (Istock)
The AI model achieved an accuracy rate of 86% Detection of ovarian cancerThis compares to 82% for human experts and 77% for those with less experience.
“I was surprised that the AI models outperformed all 33 expert examiners,” study author Elizabeth Epstein, a professor in the Department of Clinical Sciences and Education at Karolinska Institutet, told Fox News Digital.
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Ovarian tumors are common and “often discovered by chance,” according to Epstein.
“Our study shows this Support AI-based diagnosis “It could significantly improve the diagnosis of ovarian cancer by enhancing screening efficiency, reducing diagnostic errors and addressing the shortage of expert screeners,” she said in a statement to Fox News Digital.
The AI model achieved an accuracy rate of 86% in detecting ovarian cancer, compared to 82% for human experts and 77% for those with less experience. (Istock)
“High-quality diagnostics could become more accessible, especially in areas with limited access to experienced examiners,” Epstein continued.
“This will help reduce waiting times, avoid unnecessary interventions, and facilitate early detection of cancer, ultimately leading to improvement.” Patient outcomes and ensuring more accurate diagnoses.”
The researchers noted that AI could also reduce the need for referrals as well as the chances of misdiagnosis.
“I was surprised that the AI models outperformed all 33 expert examiners.”
Dr. Brian Slomovitz, director of gynecologic oncology and co-chair of the Cancer Research Committee at Mount Sinai Medical Center in Florida, noted that screening and early detection of ovarian cancer is the “holy grail” for reducing deaths from this disease.
“This large retrospective trial clearly demonstrates that there may be a role in incorporating AI-based support to better interpret ultrasound findings in patients with a mass in the femur,” Slomovitz, who was not involved in this particular study, told Fox News Digital. The pelvis.”
“This in itself increases the accuracy of radiological results by reducing the false positive rate (leading to unnecessary surgeries) and lowering the false negative rate (missed cancer cases).”
One oncologist pointed out that screening and early detection of ovarian cancer is the “holy grail” for reducing deaths resulting from this disease. (Istock)
There are other methods of evaluation Ovarian cancer patients The doctor pointed out beyond the X-ray.
“Menopausal status, presence or absence of symptoms, and blood test results are some other factors used to determine which patients may or may not need surgery,” Slomovitz said. “It would be great if these factors could be incorporated into AI modeling.”
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In addition to showing improved accuracy of ultrasound analysis, AI technology will need to demonstrate a survival benefit in order to gain widespread use, he added.
“I am optimistic that AI will be part of the armamentarium used to improve the care we provide to our patients.”
“I am optimistic that AI will be part of the armamentarium used to improve the care we provide to our patients,” said one oncologist. (Istock)
Dr. Harvey Castro, A Dallas, Texas-based The board-certified emergency medicine physician and national speaker on artificial intelligence in health care agreed that the technology has the potential to improve cancer diagnosis, but cautioned that limitations remain.
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“AI relies on diverse, high-quality data, and bias can limit its effectiveness,” he told Fox News Digital.
“It has also not been fully validated for routine clinical use, and concerns regarding transparency and regulation remain unresolved.”
Castro confirmed this Additional research There is a need to determine how well AI will adapt to real-world environments, the long-term impact on healthcare costs and outcomes, and whether the technology will be able to address diverse populations and different clinical environments.
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The researchers also acknowledged potential limitations of the study.
“It's not a prospective study, so additional data is needed to see how it performs in a real clinical setting,” Epstein told Fox News Digital.
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She added that the team plans to begin clinical studies soon at Stockholm Southern Hospital in Sweden.
“The doctor is still responsible for diagnosing and treating the patient.”
Epstein noted that AI should only be used as diagnostic support and not a replacement for human doctors.
“The doctor is still responsible for the patient Diagnosis and treatment“, she stated.
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The Karolinska Institutet research team collaborated with the KTH Royal Institute of Technology. Funding was provided by the Swedish Research Council, the Swedish Cancer Society, Stockholm Regional Council, the Radiumhemmet and Wallenberg AI Cancer Research Funds, and the Autonomous Systems and Software Program (WASP), according to the release.
