DrAid for Liver Segmentation

Retrieved 2026-10-29 · the fields above are FDA's; the statement below was copied from the decision document on that day.

What FDA cleared it for

The Indications for Use statement, verbatim, from the decision document.

DrAid for Liver Segmentation is a web-based software, non-invasive image analysis application designed for the visualization, evaluation, and reporting of liver and physician identified lesions using multiphase images (with slice thickness <= 3.0mm) of patients aged and older than 22 years old obtained from CT scanners. The software provides a range of tools for image viewing, processing, and reporting. The software enables professionals, including physicians and technicians, to review and analyze multiphase volume datasets of the liver. DrAid for Liver Segmentation operates in a semiautomated quantitative imaging function, utilizing an Al algorithm to generate liver segmentation that is then editable by the physician if necessary. Additionally, the device provides tools for manual segmentation within user input of seed points and boundary editing for physician-identified lesions within the liver. Professionals can assess liver volume (mm³), liver lesion volume (mm³), and maximum lesion diameter (mm), position, thereby aiding in evaluation and treatment planning. It is important to note that the software is intended for use by trained professionals, including physicians and technicians. The image source for analysis is DICOM, allowing compatibility with standard medical imaging data formats. Note: DrAid for Liver Segmentation does not generate diagnoses or potential findings directly. The interpretation of the image data and the clinical decision-making process should be […]

The product code's definition, from FDA's classification record. To provide automated radiological image processing and analysis tools. Software implementing artificial intelligence including nonadaptive machine learning algorithms trained with clinical and/or artificial data. In these devices, the algorithm training data typically impacts device performance. Adaptive AI algorithms are not within scope of this product code.

What the statement says

Pattern matches on the Indications for Use text. Each line is a fact that the text contains the words, not a finding about the device.

• Modalities namedCT
• Mentionsdetection or identification of findings
• Mentionsmeasurement or quantification
• Mentionsadult patients

Adverse-event reports in MAUDE, by product code

As of 2026-10-29, MAUDE held 10 reports filed against devices carrying product code QIH. That code is shared by every device of this type, not this device alone, and MAUDE reports are submitted by manufacturers, facilities and the public without FDA verification. The latest reports, in the reporter’s words:

2 July 2026 · Malfunction · SYNAPSE PACS · FUJIFILM HEALTHCARE AMERICAS CORPORATION · report 3004972322-2026-00002

ON 06/04/2026, FUJIFILM HEALTHCARE AMERICAS CORPORATION BECAME AWARE OF A BUG IN SYNAPSE PACS V7.4.310 THAT COULD POTENTIALLY LEAD TO A MISDIAGNOSIS IN THE CARDIOLOGY BASED STUDIES. IT WAS FOUND DURING REGRESSION TESTING OF THE PRODUCT THAT THE ANNOTATION TAKEN AND SAVED IN AN EARLIER VERSION OF THE PRODUCT CAN SHOW THE INCORRECT VALUE IN BOTH ZERO VIEWER (ZV) AND VX WHEN REOPENING THE STUDY IN THE NEWER VERSION. THIS ISSUE WAS INTRODUCED INTO THE PRODUCT DURING AN ENHANCEMENT TO SUPPORT […]

9 April 2026 · Malfunction · ORIGIN DATA MANAGEMENT (VERSION 3.2, SOFTWARE COMPONENT) · BRAINLAB SE · report 8043933-2026-00021

A PATIENT RECORD REQUIRED FOR STEREOTACTIC PLANNING COULD NOT BE FOUND DURING A FRAME-BASED STEREOTACTIC BIOPSY FOR A SUSPECTED BRAIN TUMOR. AFTER BRIEF TROUBLESHOOTING, IT BECAME CLEAR THAT THE PATIENT RECORD WAS UNINTENTIONALLY MERGED WITH ANOTHER PATIENT RECORD. THE SURGEON RESOLVED THE MERGE WITH SUPPORT FROM BRAINLAB. FURTHER INVESTIGATION BY BRAINLAB UNCOVERED FOUR MORE CASES OF INCORRECT PATIENT RECORD MERGES AT THE SAME SITE THAT WERE THEREAFTER RESOLVED. ACCORDING TO THE SURGEON […]

26 February 2026 · Malfunction · ORIGIN DATA MANAGEMENT (VERSION 3.2, SOFTWARE COMPONENT) · BRAINLAB SE · report 8043933-2026-00011

WHILE SEARCHING FOR A MISSING PATIENT RECORD IN THE BRAINLAB PATIENT SELECTION 6.1 APPLICATION, A CUSTOMER DISCOVERED THAT THE MISSING PATIENT RECORD HAD BEEN MERGED WITH AN UNRELATED PATIENT RECORD. THE CUSTOMER RESTORED THE MERGED PATIENT RECORD TO ITS ORIGINAL CONSTITUENT PATIENT RECORDS ON THE SAME DAY. AFTER THIS, THE MISSING PATIENT RECORD BECAME AVAILABLE IN THE PATIENT LIST. ACCORDING TO THE HOSPITAL, NO PATIENT WAS AFFECTED DUE TO THE DESCRIBED ISSUE AS NEITHER OF THE PATIENTS HAS HAD […]

13 August 2025 · Malfunction · ORIGIN DATA MANAGEMENT (VERSION 3.2, SOFTWARE COMPONENT) · BRAINLAB AG · report 8043933-2025-00058

A CUSTOMER REPORTED THAT A PATIENT RECORD DID NOT APPEAR IN THE BRAINLAB PATIENT SELECTION APPLICATION WHEN THE PATIENT'S NAME WAS SEARCHED. THE CUSTOMER FOUND THE MISSING PATIENT DATA MERGED INTO A DIFFERENT PATIENT RECORD AND WAS ABLE TO RESTORE THE PATIENT RECORDS TO THEIR ORIGINAL STATES. NO PATIENT WAS AFFECTED DUE TO THIS ISSUE.

25 June 2025 · Malfunction · SONIO DETECT · SONIO · report MW5171987

SONIO DETECT SOFTWARE AI ALGORITHM IS FAULTY AND WRONGLY LABELS FETAL STRUCTURES AND ASSOCIATES THEM WITH THE WRONG BODY PARTS. THE SYSTEM WILL FREQUENTLY DISPLAY AS VISUALIZED EVEN THOUGH IT HASN'T LEAVING PROVIDERS TO GIVE FALSE NORMALCY AND OPENING THEM UP TO LIABILITIES.

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