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AI Cancer Screening Programs on the Rise, But You May Need to Cover the Costs – NBC Connecticut

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Navigating the Reimbursement Maze: Challenges and Opportunities for AI Cancer Screening Programs

Artificial intelligence for cancer screening has taken off, with nearly 600 radiology AI programs approved by the FDA in the last five years. However, most of these innovative programs are not covered by insurance, creating challenges for companies and patients alike.

Startup Avenda Health, for example, has developed a groundbreaking prostate cancer screening tool that has received FDA approval and a provisional billing code from the American Medical Association. Despite these milestones, the slow path to insurance reimbursement could impede the adoption of this life-saving technology.

Without insurance coverage, patients may have to pay out of pocket for AI-enhanced screenings, as seen with RadNet’s breast cancer detection program. While the company has seen success in patient adoption, the lack of insurance reimbursement remains a barrier to widespread access.

Medical associations and regulators are taking a cautious approach to designating reimbursement codes for AI programs, citing the need for more data to determine their effectiveness compared to traditional screening methods. The complexity of establishing billing codes for each approved AI tool is a significant hurdle in the path to insurance coverage.

Despite these challenges, investors like Khosla Ventures are optimistic about the future of health-care AI developers. They believe that technology that improves the quality of care and outcomes for patients will ultimately prevail, driving innovation and access to life-saving technologies.

As the healthcare industry navigates the evolving landscape of AI in cancer screening, patients like UCLA professor Josh Trachtenberg are already experiencing the benefits of these advanced tools. Trachtenberg’s successful treatment for prostate cancer highlights the potential of AI to revolutionize cancer care and improve patient outcomes.

While the road to insurance reimbursement for AI programs may be long and complex, the potential for these technologies to save lives and improve patient care is undeniable. As the industry continues to innovate and adapt, the hope is that insurance coverage will catch up to ensure that all patients have access to the best possible care.

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