Quality

The best of both worlds. Human and Artificial Intelligence.

The interaction between humans and AI offers the best of both worlds. This combination enables us to meet the highest standards of performance and safety as a medical device.

Highest quality through clearly defined processes.

Proven quality

All our solutions are certified as Class IIa medical devices and therefore meet the highest quality and safety standards in the industry.

Technological innovation

We use technology where it makes sense. By leveraging AI, we can automatically analyze and process millions of medical publications to create the baseline for our algorithms.

Perfect symbiosis

The practical knowledge of doctors combined with millions of medical publications and groundbreaking technology create the perfect symbiosis between humans and AI.

Trust is good, control is better.

Medical device with CE certification Quality management according to ISO 13485 Information security management according to ISO 27001 Standardized processes and norms

Medical device with CE certification

Our technology is certified as a Class IIa medical device. This means that an independent Notified Body, in our case TÜV Süd, verifies our compliance with norms and standards in annual audits.

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Quality management according to ISO 13485

The safety of our products has absolute priority for us, therefore all key processes in the company are certified according to ISO 13485:2016. This quality management system ensures that the highest standards of performance and safety are reliably met.

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Information security management according to ISO 27001

As part of our commitment to data security, XUND is ISO 27001:2013 certified. We have taken this step to ensure that our Information Security Management System adheres to international data privacy standards – protecting the most valuable information.

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Standardized processes and norms

Being a medical device manufacturer, we have to adhere to a large number of regulatory requirements, which are ensured by compliance with standards. In addition to the ISO 13485-compliant quality management system, we meet the requirements of the following relevant standards, directives and laws:

Medical Devices Regulation (MDR) 2017/745
Medical Devices Act and relevant regulations
EN ISO 14971:2019
EN 62304:2006 + A1:2015
EN 62366-1:2015
EN 82304-1:2017

In addition to this, we comply with all local regulations in countries where we market our product.

Committed to security and data protection.

State-of-the-art encryption methods

By using state-of-the-art encryption methods when transferring and storing health information, we guarantee the security and privacy of sensitive data.

Sophisticated database architecture

We prevent unauthorized access to data through structural and technological barriers. No one other than the user can view personal health data.

Data centers in Austria and Switzerland

By relying on local storage with certified data centers, we ensure that no sensitive information leaves the European legal area.

The knowledge of millions built into one health solution.

Data analysis with AI

Our artificial intelligence can analyze millions of medical publications from the literature and process data on over 4.000 medical conditions.

Review by doctors

Our team of doctors then verifies this information qualitatively and enriches it with reference literature and practical experience.

Medical stress test

We verify our technology with thousands of real life case studies. This is the most objective way to test accuracy of our system.

Usability tests

Through ongoing testing with real users, we ensure that our medical algorithms work as intended and meet the defined requirements.

Convincing medical accuracy and reliability.

We verify the medical accuracy of our technology in medical stress tests. This happens continuously and on the basis of thousands of case studies from the literature. The goal is to identify the verified diagnosis from the case study as a possible outcome. This has proven to be the most reliable method of testing medical accuracy under objective conditions.

Medical accuracy

93.3 %

Tested with case studies by Semigran et al. 2015.

Benchmark with case studies from the standard literature.

In order to objectively assess the quality of XUND also in comparison to other solutions, we assessed the 45 case studies from one of the most frequently cited publications in the domain. These case studies are regularly used by researchers to evaluate medical accuracy, most recently by Ceney et al. 2021.

ICD-10J30.1

Medical conditionHay fever

Age22 Years

Result identified

22-year-old male with hay fever

ICD-10: J30.1

Present symptoms:

Sniffles
Frequent sneezing
Itching
Red eyes
Tearing Eyes

Additional information:

Do such symptoms recur annually at the same time of year or in the same month?

Yes

Have you been suffering from such complaints regularly for a longer period of time?

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Hay fever
Common cold

ICD-10J11

Medical conditionInfluenza

Age30 Years

Result identified

30-year-old female with influenza

ICD-10: J11

Present symptoms:

Fever
Cough
Headache
General malaise
Physical exhaustion

Additional information:

Have you already been vaccinated against influenza this year?

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Influenza
COVID-19 infection

ICD-10G03

Medical conditionMeningitis

Age18 Years

Result identified

18-year-old male with meningitis

ICD-10: G03

Present symptoms:

Headache
Fever
Light sensitivity of the eyes
Neck stiffness

Additional information:

Does your neck pain get worse when you push your chin towards the chest?

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Meningitis

ICD-10A35

Medical conditionTetanus

Age63 Years

Result identified

63-year-old male with tetanus

ICD-10: A35

Present symptoms:

Seizure
Hard abdominal wall
Swallowing difficulties
Accelerated heartbeat
Increased sweating
Restless behaviour
Irritability
Painful wounds

Additional information:

Do you know for a fact that you were vaccinated against tetanus and have since received all the necessary booster shots?

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Tetanus
Hypoglycaemia

ICD-10B54

Medical conditionMalaria

Age28 Years

Result identified

28-year-old female with malaria

ICD-10: B54

Present symptoms:

Fever
Chills
Diarrhoea

Additional information:

Have you been travelling in a tropical country for the last few weeks?

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Malaria
COVID-19 infection

ICD-10M54

Medical conditionGeneral back pain

Age35 Years

Result identified

35-year-old male with general back pain

ICD-10: M54

Present symptoms:

Lower back pain
Walking difficulties

Additional information:

Have you recently suffered an injury, while doing sports or at work, that seems to be connected to your symptoms?

Did you suffer any blunt force trauma to the affected area, such as a blow?

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

General back pain

ICD-10J18

Medical conditionPneumonia

Age6 Years

Result identified

6-year-old male with pneumonia

ICD-10: J18

Present symptoms:

Cough
Fever
Whistling breathing sounds
General malaise

Additional information:

Do you or your parents have asthma, neurodermatitis or a chronic allergic rhinitis?

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Pneumonia
COVID-19 infection

ICD-10J45

Medical conditionAsthma

Age27 Years

Result identified

27-year-old female with asthma

ICD-10: J45

Present symptoms:

Breathing difficulties
Cough
Sleeping difficulties
Fatigue

Additional information:

Have you been suffering from such complaints regularly for a longer period of time?

Yes

Do you or your parents have asthma, neurodermatitis or a chronic allergic rhinitis?

Yes

Have you been taking glucocorticoids or steroids "cortisone" for a long time? These are contained, for example, in asthma sprays or medications for autoimmune diseases.

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Asthma
COVID-19 infection

ICD-10i26

Medical conditionPulmonary embolism

Age65 Years

Result identified

65-year-old male with pulmonary embolism

ICD-10: i26

Present symptoms:

Breathing difficulties
Chest pain
Swelling of the leg
Difference in leg circumference
Fever
Accelerated heartbeat

Additional information:

Have you had surgery in the past few weeks?

Yes

Have you recently had a period in which you haven't moved much (e.g. air travel or bed-riddenness)?

Yes

Did your symptoms start suddenly, from one moment to the next?

Yes

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 1. result

Conditions identified by XUND:

Pulmonary embolism
Pneumonia
COVID-19 infection

ICD-10K75

Medical conditionAcute hepatitis

Age48 Years

Result identified

48-year-old female with acute hepatitis

ICD-10: K75

Present symptoms:

Confusion
Disturbed consciousness
Yellowing of the eyes
Abdominal pain
Tremors
Motor disorders
Fatigue

Additional information:

Has any medication been discontinued or started recently?

Yes

Did your symptoms start suddenly, from one moment to the next?

Have you been suffering from such complaints regularly for a longer period of time?

Source:

Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015

Verified diagnosis identified as 2. result

Conditions identified by XUND:

Meulengracht's syndrome
Acute hepatitis

Always one step ahead.

In the most recent study conducted by Ceney et al. 2021, 12 symptom assessment tools were analyzed and compared with each other. The correct condition was identified in only 51% of the cases by our competitors. On average, 22,2 questions were required before a decision could be made.

Using the same data set from the study, XUND identifies the correct condition in 91,1% of cases and asks an average of only 20,3 questions. This outperforms all comparable solutions in medical accuracy and most of them in process speed.

Go to study

You want to know more? We have collected some of the most frequently asked questions for you.

Do you work together with medical doctors?

Yes, the medical team at XUND plays a pivotal role in managing the medical database, which forms the core of our AI solution. Our medical doctors verify the quality of every single piece of information in the medical database, ensuring its accuracy and reliability. This thorough verification process relies on reference literature and real-world medical practice experience. Learn more about the work of our medical team on our Medical Quality page, or read the interview with our Head of Medical.

How do you ensure the quality of the medical content?

Our in-house team of medical doctors and editors meticulously reviews and validates XUND's medical content before release, ensuring it meets ISO 13485 & MDR standards, and guaranteeing its highest quality. Additionally, the team collaborates with the Thieme Group to create fact sheets for frequently diagnosed conditions. On top of that, we continuously verify the medical accuracy of our technology through stress tests, drawing from thousands of literature case studies. For more details on our quality assurance process, please visit our Medical Quality page.

Is all content created or reviewed by medical doctors?

Yes, XUND's content is a blend of quantitative AI analysis and qualitative medical expertise. Using AI, we have analyzed millions of medical publications, which were then reviewed by our medical doctors with both literature and practical experience. This synergy, combined with our standardized quality assurance, ensures the highest level of accuracy and reliability in our content. To gain more insight into our medical quality processes, please see our Medical Quality page.

What diseases do you cover?

Our AI has the capability to automatically analyze millions of medical publications and process data on over 4,000 medical conditions. XUND prioritizes the most common medical conditions from this dataset, totaling over 500 illnesses, to provide statistically relevant and meaningful results.

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