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-10 J30.1

Medical condition Hay fever

Age 22 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-10 J11

Medical condition Influenza

Age 30 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-10 G03

Medical condition Meningitis

Age 18 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-10 A35

Medical condition Tetanus

Age 63 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-10 B54

Medical condition Malaria

Age 28 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-10 M54

Medical condition General back pain

Age 35 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-10 J18

Medical condition Pneumonia

Age 6 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-10 J45

Medical condition Asthma

Age 27 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-10 i26

Medical condition Pulmonary embolism

Age 65 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-10 K75

Medical condition Acute hepatitis

Age 48 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?

We have our own team of medical doctors who verify the quality of every single piece of information in the medical database based on reference literature and experience from the medical practice.

How do you ensure the quality of the medical content?

Our medical content is created and validated in cooperation with the Thieme Group, tailored to our offering. On top of that, we have our own team of medical doctors and editors who ensure we adhere to the highest quality.

Is all content created or reviewed by medical doctors?

Our technology is based on two pillars, one quantitative and one qualitative. Using AI, several million medical publications are analyzed and then reviewed again by our doctors with literature and practical experience. So it's the symbiosis of both worlds and our standardized quality assurance systems that make the difference.

What diseases do you cover?

Our AI can automatically analyze millions of medical publications and process data on over 4.000 medical conditions. However, in order to provide our users with statistically relevant and meaningful results, XUND prioritizes the most common medical conditions out of this dataset, that account for the vast majority of illness cases.

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