Aidoc Receives FDA Breakthrough Device Designation for AI That Drafts Radiology Reports
核心洞察
Aidoc (搜索)'s First Read (搜索) AI, designed to analyze chest radiographs and generate preliminary radiology report text, has received FDA Breakthrough Device Designation.
The designation addresses rising imaging demand, with a Neiman Health Policy Institute study showing outpatient imaging interpretation turnaround times more than doubled between 2014 and 2023.
First Read (搜索) builds on Aidoc (搜索)'s CARE foundation model and aiOS platform, already deployed across nearly 2,000 hospitals and having analyzed over 120 million patient cases.
Aidoc (搜索), the clinical AI company supporting diagnostic decisions across nearly 2,000 hospitals worldwide, announced on June 25, 2026 that the U.S. Food and Drug Administration (FDA) granted Breakthrough Device Designation to First Read (搜索), an AI system designed to analyze chest radiographs and generate preliminary high-quality radiology report text for that analysis.
The designation arrives at a critical juncture for radiology. A recent Neiman Health Policy Institute study found that outpatient imaging interpretation turnaround times more than doubled between 2014 and 2023, with the steepest increases occurring in the past two years. As imaging interpretation delays grow, health systems face mounting pressure on patient throughput and emergency department flow, where CT imaging turnaround times can add up to 150 minutes to patient stays and delay clinical decision-making.
First Read (搜索) is designed to address that gap directly. By generating high-quality draft text from imaging findings, the technology aims to reduce time spent on reporting and interpretation, returning capacity to radiologists for higher-value clinical judgment and patient care.
Built on a Clinically Validated Foundation
First Read (搜索) extends Aidoc (搜索)'s CARE foundation model into report drafting workflows. The technology is built on the same underlying architecture as Triage, Aidoc's FDA-cleared abdominal CT triage application, extending the same clinically validated foundation for safety, reliability, and quality. Aidoc's aiOS, the company's enterprise AI operating system, delivers clinical AI directly within existing imaging and EMR workflows, enabling health systems to deploy and manage AI at scale.
The platform supports care decisions across nearly 2,000 hospitals worldwide, including leading health systems such as Sutter Health, Wellspan Health, and Mercy, and has analyzed more than 120 million patient cases to date.
Second Breakthrough Designation in Under a Year
First Read (搜索) represents Aidoc (搜索)'s second Breakthrough Device Designation in under a year, following CARE Triage in September 2025. The FDA grants Breakthrough Device Designation to technologies that both significantly advance the diagnosis of severe diseases and represent an unmet clinical need. The designation is intended to accelerate access to life-saving innovations.
The Breakthrough Device Designation (Q260882) was granted for four life-threatening findings. The device is for investigational use only and has not been cleared or approved by the FDA.
Safety and Governance in AI-Assisted Reporting
As clinical AI becomes more deeply embedded into care workflows, safety, governance, and clinical reliability become increasingly important. Errors, inconsistencies, and automation bias are known risks of generative AI in reporting workflows where every sentence carries clinical and legal weight. First Read (搜索) is designed to extend AI-assisted support into those workflows while increasing quality standards and preserving clinician oversight and final approval.
"Radiology is entering a new era," said Elad Walach, CEO and co-founder of Aidoc (搜索). "For decades, radiologists have carried growing workloads with tools that were never designed for today's scale of imaging demand. First Read (搜索) represents an important step toward a future where safe, clinically-validated AI can help absorb more of the operational burden, allowing radiologists to focus more of their time on interpretation, judgment, and patient care."
Robert Lookstein, MD MSc, Professor of Radiology and Surgery at Mount Sinai Health System, added: "Diagnostic radiologists are facing growing imaging volumes and workforce shortages, all while trying to maintain the highest standards of patient care. AI-assisted reporting has the potential to support more sustainable workflows but only if it is implemented in a way that is clinically reliable and thoughtfully integrated into practice. As these technologies mature, they will fundamentally reshape how diagnostic radiologists manage growing demand and deliver care."
The designation follows continued expansion of Aidoc (搜索)'s clinical AI platform, including a $150 million Series E financing announced in April and growing deployment across nearly 2,000 hospitals worldwide. Aidoc's technology supports clinical decision-making for approximately 60 million patients each year.