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FDA Okays AI-based Prostate Cancer Risk-Stratification Tool
The US FDA has granted De Novo marketing authorization for ArteraAI Prostate (Artera, Los Altos, California), a novel artificial intelligence (AI)-powered risk-stratification tool for patients with nonmetastatic prostate cancer. The authorization means the digital pathology software tool is recognized as an FDA-regulated Software as a Medical Device (SaMD), Artera explained in a press release. De Novo authorization provides a marketing pathway to classify low- or moderate-risk novel medical devices. The De Novo authorization for this specific test establishes a new product code category for future AI-powered digital pathology risk-stratification tools and enables implementation at the point of diagnosis at qualified US pathology labs, the company said. The test analyzes digital pathology images from patients' biopsy slides to predict long-term outcomes, such as 10-year risk of metastasis and mortality. This can help direct treatment decisions. "Notably, the FDA authorization includes a Predetermined Change Control Plan, granting Artera the ability to expand platform capabilities through validating compatibility with additional digital pathology scanners without requiring further [approval] submissions," according to Artera, which develops multimodal artificial intelligence-based prognostic and predictive cancer tests for personalized cancer care. The De Novo authorization for ArteraAI Prostate followed its July 9 Breakthrough Device Designation and was supported by findings from the STAMPEDE trial and validation data presented at the 2025 American Society of Clinical Oncology (ASCO) conference. The STAMPEDE trial helped to establish abiraterone, an androgen receptor pathway inhibitor, along with radiation and long-term androgen deprivation therapy, as the standard of care treatment for high-risk patients. The validation data presented at ASCO demonstrated the test's ability to differentiate high-risk nonmetastatic prostate cancer patients most likely to benefit from abiraterone from those unlikely to benefit. "For lower-risk patients, the test can help determine if active surveillance is a suitable option, and for intermediate-risk patients, the test can predict if short-term androgen deprivation therapy is beneficial, the company said in a prior statement announcing enhancements that increase the clinical impact for higher-risk patients. "Abiraterone has already hugely improved the outlook for hundreds of thousands of men with advanced prostate cancer," said Nick James, MD, PhD, the lead investigator for STAMPEDE. "We're excited to now have a test that can pick out the people who will respond best to abiraterone, and those who will do well with standard treatment alone." Artera also recently announced the launch of a registry trial measuring real-world impact and patient outcomes associated with the tool, which is included in the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines for Prostate Cancer. The NCCN Guideline states that use of the tool for risk stratification of localized prostate cancer in clinical practice is supported by solid evidence. The Category 2A recommendation signifies uniform NCCN consensus that the tool is appropriate for patients with prostate cancer. "Harnessing the power of AI, the ArteraAI Prostate Test marks a significant advancement in the personalized treatment of localized prostate cancer," said Tim Showalter, MD, a radiation oncologist, cancer researcher, and chief medical officer at Artera. "Through the DIRECT-AI registry, we are rigorously evaluating how this technology can enhance clinical decision-making and improve patient outcomes, providing clinicians and patients with the most accurate, tailored insights available."
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FDA approved AI device that predicts cancer prognosis
The Food and Drug Administration has approved artificial intelligence as a way to predict some cancer outcomes -- resulting in yet another win for AI in the medical space. The agency issued a de novo authorization to the ArteraAI Prostate test, an AI test used to personalize cancer therapy and predict treatment outcomes. The software reportedly detects cancer with 84.7% accuracy, while physicians who tried to detect cancer manually fell between 67.2 percent and 75.9 percent. The new classification makes the test the first AI software to predict long-term cancer outcomes authorized by the FDA. Artera is one of several technology companies vying for artificial intelligence to improve accuracy in diagnosing cancer and determining treatment. Companies like Freenome, CureMetrix, and PathAI focus on diagnosis and early detection, while companies like Immunai and Anima Biotech focus on treatment. Tech companies outside of the medical space are also trying to get in on the trend. Apple has developed features for its watches to detect heart arrhythmias and Nvidia is working with Medtronic and Johnson & Johnson to build out their AI devices and software. The FDA has approved a growing number of AI medical devices in the last decade, and 950 of them with AI features between 1995 and 2024, MedTech Dive reported. The boom has been driven largely by more investments into AI and machine learning, as well as more connected devices, and a growing familiarity with how software is regulated as a medical device, according to the publication. However, while AI can reduce medical errors in some capacities, it can also lack accuracy in other areas, raising concerns about medical responsibility and data reporting. An October report in the NPJ Digital Medicine Journal found that machine learning and artificial intelligence models in healthcare may exacerbate health biases. Researchers reviewed 692 FDA-approved AI medical devices, examining transparency, safety reporting, and sociodemographic representation. They found that FDA reporting data was inconsistent and exacerbated the risk of algorithmic bias and health disparity.
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The FDA grants De Novo marketing authorization to ArteraAI Prostate, an AI-based tool for assessing prostate cancer risk, setting a new precedent for AI in medical diagnostics while raising questions about AI's broader impact on healthcare.
The US Food and Drug Administration (FDA) has granted De Novo marketing authorization to ArteraAI Prostate, an artificial intelligence (AI)-powered risk-stratification tool for patients with nonmetastatic prostate cancer 1. This authorization establishes ArteraAI Prostate as an FDA-regulated Software as a Medical Device (SaMD), marking a significant milestone in the integration of AI into medical diagnostics 1.
Source: Quartz
ArteraAI Prostate analyzes digital pathology images from biopsy slides to predict long-term outcomes, including the 10-year risk of metastasis and mortality 1. This capability aids in directing treatment decisions, potentially improving patient care. The tool has demonstrated an impressive 84.7% accuracy in detecting cancer, surpassing manual detection rates by physicians, which ranged from 67.2% to 75.9% 2.
Dr. Tim Showalter, Chief Medical Officer at Artera, emphasized the tool's significance: "Harnessing the power of AI, the ArteraAI Prostate Test marks a significant advancement in the personalized treatment of localized prostate cancer" 1.
The authorization was supported by findings from the STAMPEDE trial and validation data presented at the 2025 American Society of Clinical Oncology (ASCO) conference 1. The tool's efficacy in differentiating high-risk nonmetastatic prostate cancer patients likely to benefit from abiraterone treatment was demonstrated in these studies 1.
Notably, ArteraAI Prostate has been included in the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines for Prostate Cancer, receiving a Category 2A recommendation 1. This signifies uniform NCCN consensus on the tool's appropriateness for prostate cancer patients.
The approval of ArteraAI Prostate is part of a larger trend of AI integration in healthcare. The FDA has approved 950 AI-featured medical devices between 1995 and 2024, reflecting growing investments in AI and machine learning in the medical field 2.
Several companies are competing in this space, with firms like Freenome, CureMetrix, and PathAI focusing on diagnosis and early detection, while others like Immunai and Anima Biotech concentrate on treatment 2. Even tech giants like Apple and Nvidia are entering the medical AI arena, developing features for heart arrhythmia detection and partnering with established medical device companies 2.
While AI shows promise in reducing medical errors, concerns about accuracy and potential biases persist. A recent study published in the NPJ Digital Medicine Journal highlighted inconsistencies in FDA reporting data for AI medical devices, which could exacerbate the risk of algorithmic bias and health disparities 2.
The researchers reviewed 692 FDA-approved AI medical devices, examining transparency, safety reporting, and sociodemographic representation. Their findings underscore the need for rigorous evaluation and ongoing monitoring of AI systems in healthcare to ensure equitable and effective patient care 2.
As AI continues to reshape the medical landscape, balancing innovation with patient safety and equity remains a critical challenge for regulators, healthcare providers, and technology developers alike.
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