New York, New York, August 13, 2026
Aidoc announced that its CARE™ Body CT Multi-Triage has received eligibility for the Medicare New Technology Add-on Payment (NTAP) program, creating a new reimbursement pathway for eligible inpatient use of the company’s FDA-cleared diagnostic artificial intelligence technology. The decision by the Centers for Medicare & Medicaid Services (CMS) represents an important reimbursement milestone for AI-enabled medical technology and is expected to help eligible health systems offset the cost of adopting the technology. Beginning October 1, 2026, qualifying Medicare Fee-for-Service inpatient cases using CARE Body CT Multi-Triage will be eligible for NTAP reimbursement for up to three years.
CMS Reimbursement Supports AI Adoption
The NTAP program is designed to provide additional Medicare payments for certain innovative technologies used in eligible inpatient settings. Aidoc said the reimbursement decision gives qualifying hospitals a standardized pathway for billing eligible use of CARE Body CT Multi-Triage. The program could help reduce financial barriers for health systems considering implementation of advanced diagnostic AI while supporting broader access to innovative medical technologies. CARE Body CT Multi-Triage is an FDA-cleared diagnostic AI solution designed to assist clinicians with comprehensive workflow triage. The technology analyzes contrast and non-contrast CT examinations of the chest, abdomen, and pelvis and flags suspected findings across a broad range of urgent conditions. By identifying cases that may require prompt attention, the system is designed to help clinical teams prioritize imaging studies and potentially accelerate evaluation and treatment for patients with time-sensitive conditions. The CMS decision follows previous regulatory milestones for CARE Body CT Multi-Triage. The technology received FDA Breakthrough Device Designation in September 2025 and FDA clearance in January 2026. The combination of regulatory recognition and a defined reimbursement pathway represents an important development for the commercialization of AI-enabled diagnostic technologies in hospital environments.
AI Helps Prioritize High-Volume CT Imaging
The reimbursement development comes as hospitals manage increasing volumes of medical imaging and growing demand for rapid diagnosis. According to information cited by Aidoc, abdominal CT imaging accounts for more than 40% of CT imaging in the United States, while a substantial proportion of acute cross-sectional abdominal imaging occurs in inpatient and emergency-department settings. These high imaging volumes can create challenges for healthcare systems seeking to identify urgent findings quickly. CARE Body CT Multi-Triage is powered by Aidoc’s CARE diagnostic AI foundation model and is designed to integrate into clinical workflows. Rather than replacing physician interpretation, the technology is intended to support workflow prioritization by flagging suspected abnormalities that may require additional attention. This approach could be particularly relevant in settings where radiology teams face high workloads and need tools that help organize and prioritize cases according to potential clinical urgency.
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Reimbursement Milestone Strengthens MedTech Adoption
Aidoc said the NTAP eligibility marks a significant step toward expanding access to validated diagnostic AI and helping health systems manage the financial considerations associated with technology adoption. Eligible hospitals will need to evaluate individual cases and applicable CMS requirements to determine whether reimbursement applies under the Medicare Fee-for-Service program. The development also illustrates the increasing importance of reimbursement alongside FDA clearance in the adoption of medical AI. Regulatory authorization establishes that a technology can be marketed for its intended use, while reimbursement mechanisms can influence whether healthcare organizations are able to implement it at scale.
For AI developers, securing both regulatory recognition and an established payment pathway can therefore be an important component of commercialization. Aidoc said its technologies have analyzed more than 150 million patient cases and are deployed in nearly 2,000 hospitals worldwide. The CARE Body CT Multi-Triage decision represents a notable milestone for AI-powered medical imaging, hospital workflow optimization, and diagnostic technology reimbursement. As healthcare systems continue seeking ways to manage growing imaging demand, the availability of reimbursement for eligible AI technologies could support wider adoption of tools designed to help clinicians identify and prioritize potentially urgent findings.
Source: Aidoc press release
