The Amuchina Automatic Reprocessing Machine (ARM) is a device designed for both (a) reprocessing hemodialyzers for reuse, and (b) preprocessing hemodialyzers prior to first use. Reprocessed hemodialyzer will be reused on the same patient on who originally used the hemodialyzer. Both the reprocessing and preprocessing procedures use peracetic acid/hydrogen peroxide based disinfectant.
Device Story
ARM Automatic Reprocessing Machine (ARM) is a standalone, microprocessor-controlled system for automated hemodialyzer reprocessing and preprocessing. Device features 4 stations for simultaneous processing. Input includes hemodialyzers; disinfectant concentrate (peracetic acid/hydrogen peroxide); and AAMI quality water. System performs automated cycles: rinse, cleaning, flush, volume/leak testing, and disinfection. Includes integrated camera for capturing patient photographs for dialyzer labeling to prevent cross-patient reuse. Operated by healthcare facility staff via interactive touch screen. Output includes reprocessed/preprocessed dialyzers and printed labels containing patient data, lot/serial numbers, and test results. System can function as standalone, server, or slave unit in a network. Benefits include standardized cleaning/disinfection, automated testing, and enhanced patient identification safety.
Clinical Evidence
Bench testing only. In-vitro testing confirmed proper dilution of cleaning/disinfectant agents. Functionality testing verified all cycles (rinse, clean, flush, test, disinfect) performed as programmed without errors or failures. No clinical data provided.
Technological Characteristics
Microprocessor-controlled system with interactive touch screen. 4-station configuration. Uses peracetic acid/hydrogen peroxide disinfectant. Requires AAMI quality water (30-115 psig, 15-25°C). Connectivity: standalone, server, or slave network capability. Integrated digital camera for patient identification. Dimensions/form factor: 4-station unit.
Indications for Use
Indicated for patients with End-Stage Renal Disease on chronic hemodialysis. Used for reprocessing hemodialyzers for reuse on the same patient and preprocessing hemodialyzers prior to first use.
Regulatory Classification
Identification
A hemodialysis system and accessories is a device that is used as an artificial kidney system for the treatment of patients with renal failure or toxemic conditions and that consists of an extracorporeal blood system, a conventional dialyzer, a dialysate delivery system, and accessories. Blood from a patient flows through the tubing of the extracorporeal blood system and accessories to the blood compartment of the dialyzer, then returns through further tubing of the extracorporeal blood system to the patient. The dialyzer has two compartments that are separated by a semipermeable membrane. While the blood is in the blood compartment, undesirable substances in the blood pass through the semipermeable membrane into the dialysate in the dialysate compartment. The dialysate delivery system controls and monitors the dialysate circulating through the dialysate compartment of the dialyzer.(1) The extracorporeal blood system and accessories consists of tubing, pumps, pressure monitors, air foam or bubble detectors, and alarms to keep blood moving safely from the blood access device and accessories for hemodialysis (§ 876.5540) to the blood compartment of the dialyzer and back to the patient. (2) The conventional dialyzer allows a transfer of water and solutes between the blood and the dialysate through the semipermeable membrane. The semipermeable membrane of the conventional dialyzer has a sufficiently low permeability to water that an ultrafiltration controller is not required to prevent excessive loss of water from the patient's blood. This conventional dialyzer does not include hemodialyzers with the disposable inserts (Kiil type) (§ 876.5830) or dialyzers of high permeability (§ 876.5860). (3) The dialysate delivery system consists of mechanisms that monitor and control the temperature, conductivity, flow rate, and pressure of the dialysate and circulates dialysate through the dialysate compartment of the dialyzer. The dialysate delivery system includes the dialysate concentrate for hemodialysis (liquid or powder) and alarms to indicate abnormal dialysate conditions. This dialysate delivery system does not include the sorbent regenerated dialysate delivery system for hemodialysis (§ 876.5600), the dialysate delivery system of the peritoneal dialysis system and accessories (§ 876.5630), or the controlled dialysate delivery system of the high permeability hemodialysis system § 876.5860). (4) Remote accessories to the hemodialysis system include the unpowered dialysis chair without a scale, the powered dialysis chair without a scale, the dialyzer holder set, dialysis tie gun and ties, and hemodialysis start/stop tray.
Predicate Devices
Seratronic DRS-4 Dialyzer Reprocessing System (K860674)
Submission Summary (Full Text)
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JUL 15 2002
K013713
## 510(k) Summary
as required by section 807.92(c).
| Name: | Ludovico Glavotto<br>President |
|-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|
| Address: | Amuchina International, Inc.<br>8-8 Metropolitan Court<br>Gaithersburg, MD 20878 |
| Telephone:<br>FAX: | 301-330-7597<br>301-330-6432 |
| Contact Person: | Ludovico Glavotto |
| Date Summary<br>Prepared: | 01 November 2001 |
| Trade Name:<br>Common Name:<br>Classification Name: | ARM Automatic Reprocess Machine<br>dialyzer reprocessing system<br>dialyzer reprocessing system, panel 78, procode LIF, unclassified |
Legally Marketed Device claiming Substantial Equivalence to, §807.92(a)(3):
Seratronic DRS-4 Dialyzer Reprocessing System, K860674
Description of Device, §807.92(a)(4):
The Amuchina ARM Automatic [Dialyzer] Reprocessing Machine is a stand alone device designed for the automated reprocessing of hemodialyzers for reuse and for the pre-processing of hemodialyzers prior to first use. The ARM Unit has 4 stations which can sequentially process up to 4 dialyzers at one time. The ARM Unit has no direct or indirect patient contact.
The ARM Unit uses a peracetic acid/hydrogen peroxide based disinfectant as both a cleaning solution and a disinfectant. The disinfectant concentrate is diluted to the inuse strength with AAMI quality water.
When reprocessing dialyzers, the ARM Unit uses the following cycles: Rinse, Cleaning, Flush, Volume & Leak Test, and Disinfection. When pre-processing dialvzers, the following cycles are used: Flush, Volume & Leak Test (only if instructed for by the user), and Disinfection.
For regularly scheduled maintenance, the ARM Unit has the following system cycles: System Rinse, System Disinfect, and System Self Test. Other cycles which are included in the ARM Unit include: Prime Pump for priming the chemical pump with the disinfecting agent, Line Volume Calibration for use in determining the total cell volume of the dialyzer, and System Void to purge fluids from the circuits prior to moving the machine.
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KO13713-
The ARM Unit incorporates the feature of including a patient photograph on the dialyzer label, thus reducing the possibility of reused dialyzers being used on the wrong patient.
Intended Use of Device, §807.92(a)(5):
The ARM Automatic [Dialyzer] Reprocessing Machine is a device to reprocess hemodialyzers for reuse on the same patient. The patient population are those patients who have End-Stage Renal Disease and are on chronic hemodialysis. The ARM Unit is designed to be either a stand-alone device or act as either a server or a slave Unit in a network of several ARM Units.
The ARM Unit also can pre-processes hemodialyzers prior to first use, where preprocessing is the medical policy of the health care facility.
Summary of Technological Characteristics of ARM Automatic Reprocessing Machine and the DRS-4 Dialyzer Reprocessing Systems, §807.92(a)(6):
| Freature | Amuchina ARM | Seratronics DRS-4 |
|-----------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Indications for Use | Reprocessing hemodialyzers<br>for reuse and Pre-processing<br>hemodialyzers prior to first<br>use | Reprocessing Hemodialyzers<br>for multiple use and<br>Prepacking hemodialyzers<br>for specific patients |
| Number of Processing<br>Stations | 4 | 4 |
| Cleaning Solutions | Peracetic Acid/Hydrogen<br>Peroxide | Peracetic Acid/ Hydrogen<br>Peroxide<br>Bleach/Sodium Hypochlorite |
| Disinfectants | Peracetic Acid/Hydrogen<br>Peroxide | Peracetic Acid/Hydrogen<br>Peroxide<br>Formaldehyde |
| Cycles | Rinse, Clean, Flush, Test,<br>Disinfect | Clean, Disinfect, Test |
| Test Cycle Includes | Pressure Leak Test<br>Total Blood Cell Volume | Pressure Leak Test<br>Total Blood Cell Volume<br>Ultrafiltration Rate |
| Dialyzer Labels<br>Processing for Reuse | Includes:<br>Bar Code<br>Patient Name<br>Patient Photograph (digital)<br>Dialyzer Lot Number<br>Dialyzer Serial Number<br>Number times reprocessed<br>Number times reused<br>Test Results<br>Dialyzer Status | Includes:<br>Bar Code<br>Patient ID Number & Name<br>Social Security Number<br>Dialyzer Type (code #)<br>Dialyzer Code<br>Number times reused<br>Test Results<br>Dialyzer Status |
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SL 313
| Dialyzer Label | When Added to List for | (No label printed. If pre- |
|---------------------------|----------------------------|--------------------------------|
| Pre-processing | Pre-processing: | processing a dialyzer prior to |
| | Bar Code | first use, the DRS-4 system |
| | Status: Do Not Use | records the TCV, and the |
| | Dialyzer Model | KUF values foe each |
| | Dialyzer Lot Number | dialyzer, and enters the |
| | Dialyzer Serial Number | results in the database.) |
| | After Pre-processing: | |
| | Bar Code | |
| | Dialyzer Lot Number | |
| | Dialyzer Serial Number | |
| | Number times reprocessed | |
| | Number times reused | |
| Microprocessor controlled | Yes | Yes |
| Interactive Touch Screen | Yes | Yes |
| Operator can define some | Yes | Yes |
| parameters | | |
| Camera for Patient | Yes | No |
| Photograph | | |
| Water Requirements: | | |
| Pressure | 30-115 psig | 25-80 psig |
| Quality | AAMI Quality | AAMI Quality |
| Temperature | 15 - 25 degrees C | 24-35 degrees C |
| Flow | up to 1500 ml/min at 2 bar | 1800 ml/min @ 1.75 kg/cm |
| Drain Height | up to 16 inches | up to 16 inches max |
Non-Clinical Performance Data, §807.92(b)(1):
Each individual function of the ARM Unit was tested to see if they performed as intended/programmed. No errors or failures either-were detected and the performance characteristics of the down-stream processing procedures were not affected by the preceding test(s).
In-vitro testing was performed to assure the ARM Unit properly diluted the cleaner/ disinfectant concentrate to the in-use concentrations of active ingredients. The results from these tests show that the ARM Unit performed as expected.
Conclusions Drawn from Non-Clinical Performance Data, §807.92(b)(3):
The functionality tests on the ARM Unit demonstrate that the ARM Automatic Reprocessing Machine will perform as labeled for the reprocessing of hemodialyzers. The results of these tests demonstrate that the ARM Automatic Reprocessing Machine is substantially equivalent to the DRS-4 Dialyzer Reprocessing System. which is commercially distributed, for the same intended use that is the reprocessing of hemodialyzers for reuse.
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Image /page/3/Picture/1 description: The image is a seal for the Department of Health & Human Services - USA. The seal is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. In the center of the seal is an image of an eagle with three human profiles embedded within the eagle's body.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
## JUL 1 5 2002
Mr. Gary Mishkin Vice President of Research and Development Alcavis International, Inc. 8-8 Metropolitan Court GAITHERSBURG MD 20878 Re: K013713 Trade/Device Name: ARM Automatic Reprocessing Machine Regulation Number: None Regulatory Class: Unclassified Product Code: 78 LIF
Dated: April 12, 2002 Received: April 16, 2002
Dear Mr. Mishkin:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug. and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration. Iisting of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (sections 531-542 of the Act); 21 CFR 1000-1050.
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This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at one of the following numbers, based on the regulation number at the top of this letter:
| 8xx.1xxx | (301) 594-4591 |
|----------------------------------|----------------|
| 876.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4616 |
| 884.2xxx, 3xxx, 4xxx, 5xxx, 6xxx | (301) 594-4616 |
| 892.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4654 |
| Other | (301) 594-4692 |
Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers. International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html.
Sincerely yours,
Nancy C. Brogdon
Nancy C. Brogdon Director, Division of Reproductive, Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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510(k) Number (if known):
Device Name: ARM Dialyzer Reprocess Unit
Indications for Use:
The Amuchina Automatic Reprocessing Machine (ARM) is a device designed for both (a) reprocessing hemodialyzers for reuse, and (b) preprocessing hemodialyzers prior to first use. Reprocessed hemodialyzer will be reused on the same patient on who originally used the hemodialyzer. Both the reprocessing and preprocessing procedures use peracetic acid/hydrogen peroxide based disinfectant.
8013713
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Nancyc Brogdon
(Division Sign-Off)
Division of Reproductive, Abdominal,
and Radiological Devices
510(k) Number K013713
**Prescription Use**
(Per 21 CFR 801.109)
(Optional Format 3-10-98)
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.