FDA clears an AI tool that checks whether a feeding tube ended up in the wrong place
GE's Critical Care Suite gains an algorithm that flags misplaced enteric tubes on a chest X-ray — a complication that reviews of the practice have linked to respiratory harm and, in some cases, death.
The FDA cleared an addition to GE HealthCare's Critical Care Suite software on April 14 that uses an AI algorithm to check whether an enteric feeding tube has ended up where it's supposed to be, based on a chest X-ray [s1]. The clearance, filed under the device category "Automated Radiological Image Processing Software," was reviewed by the FDA's radiology advisory committee and cleared as a Class II device on the standard 510(k) pathway, on the finding that it is substantially equivalent to devices already on the market [s1]. GE Medical Systems, based in Waukesha, Wisconsin, submitted the application on October 30, 2025 [s1].
The clinical problem the tool targets
Enteric tubes — thin tubes threaded through the nose or mouth into the stomach or intestine to deliver nutrition or medication to patients who can't eat normally — are a routine fixture of intensive care and post-surgical wards. Confirming correct placement matters because a misdirected tube can end up somewhere it shouldn't: in the airway rather than the digestive tract, for instance, which risks feeding formula or medication being delivered into the lungs.
A review of the published literature on nasogastric and nasoenteric tube complications, covering 69 primary studies through 2017, found that tube-related adverse events are relatively common, with the majority involving respiratory harm that led to longer hospital stays or worse [s2]. The review documented deaths connected to tube misplacement or its complications reported across 16 of the studies it examined [s2]. Confirming placement on a chest X-ray, read by a radiologist or other clinician, has long been standard practice specifically to catch these errors before a tube is used — the AI tool now cleared is designed to support that same check rather than replace it.
What the clearance covers, and what it doesn't
The FDA's public record for this clearance identifies the device, its classification, and the substantially-equivalent basis for approval, but — consistent with how the agency's 510(k) summaries are typically structured — does not include performance figures such as the algorithm's sensitivity or specificity for detecting a malpositioned tube, or details of the validation dataset used [s1]. As with any AI-assisted radiology tool cleared through this pathway, the clearance establishes that GE demonstrated substantial equivalence to a legally marketed predicate device, not that the tool has been independently shown to catch misplacements more reliably than a clinician reading the same film. It is also, per its own design, a companion to human review rather than an autonomous diagnostic call — a "notification" style tool intended to flag a study for closer attention, not one that determines tube position on its own.
Why it fits a pattern
The clearance is one of a steady stream of similar AI additions to radiology workflow tools over the past several years — algorithms that don't diagnose new conditions so much as catch a specific, well-defined error on an image a clinician was already going to read. Enteric tube position is exactly that kind of narrow, binary check: correctly placed or not, on an X-ray that's typically taken specifically to answer that question. Whether adding an automated first pass measurably reduces the rate of missed misplacements in practice is a question this clearance record does not answer; that would require the kind of post-market or independent clinical evidence that 510(k) submissions are not required to include.
Sources
- 510(k) Premarket Notification K253502 — Critical Care Suite with Enteric Tube Positioning AI Algorithm — US Food and Drug Administration, 2026-04-14
- Nasogastric/nasoenteric tube-related adverse events: an integrative review — Revista Latino-Americana de Enfermagem, 2021-01-08
Sources
- 510(k) Premarket Notification K253502 — Critical Care Suite with Enteric Tube Positioning AI Algorithm — US Food and Drug Administration , April 14, 2026
- Nasogastric/nasoenteric tube-related adverse events: an integrative review — Revista Latino-Americana de Enfermagem , January 8, 2021
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