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 B30

Medical condition Viral conjunctivitis

Age 14 Years

Result identified

14-year-old male with viral conjunctivitis

ICD-10: B30

Present symptoms:

Red eyes
Tearing eyes
Sore throat
Cough
Sniffles

Additional information:

Are your eyes "glued" shut when you wake up in the morning?

Yes

Have you recently had contact with a person suffering from similar symptoms?

Yes

Are you aware that in the last 14 days you have had personal contact with a person suffering from COVID-19?

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:

Viral conjunctivitis
Acute bronchitis
Common cold

ICD-10 N23

Medical condition Renal colic

Age 45 Years

Result identified

45-year-old male with renal colic

ICD-10: N23

Present symptoms:

Flank pain
Nausea
Vomiting
Groin pain

Additional information:

Gently tap your flanks. Does that hurt?

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 2. result

Conditions identified by XUND:

Renal pelvis inflammation
Renal colic

ICD-10 I82.40

Medical condition Deep leg vein thrombosis

Age 65 Years

Result identified

65-year-old female with deep leg vein thrombosis

ICD-10: I82.40

Present symptoms:

Leg pain
Swelling of the leg
Difference in leg circumference
Reddening of the skin

Additional information:

Are you suffering from hypertension?

Yes

Are you aware of any heart disease?

Yes

Have you recently had a period in which you haven't moved much?

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:

Deep leg vein thrombosis
Factor V Leiden Mutation

ICD-10 A02.0

Medical condition Salmonella infection

Age 14 Years

Result identified

14-year-old male with salmonella infection

ICD-10: A02.0

Present symptoms:

Nausea
Vomiting
Diarrhea
Fever
Abdominal pain
Abdominal cramps

Additional information:

Have you eaten raw meat, raw fish or raw eggs in the last three days?

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 2. result

Conditions identified by XUND:

Rotavirus
Salmonella infection
COVID-19 Infection

ICD-10 J44

Medical condition COPD

Age 56 Years

Result identified

56-year-old female with COPD

ICD-10: J44

Present symptoms:

Breathing difficulties
Cough
Sniffles

Additional information:

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

Yes

Do you smoke or have you been a smoker in the past?

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:

COPD
Acute bronchitis
COVID-19 infection

ICD-10 I82.40

Medical condition Deep leg vein thrombosis

Age 28 Years

Result identified

28-year-old male with deep leg vein thrombosis

ICD-10: I82.40

Present symptoms:

Leg pain
Swelling of the leg
Difference in leg circumference
Reddening of the skin

Additional information:

Are you suffering from hypertension?

Yes

Are you aware of any heart disease?

Yes

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

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:

Deep leg vein thrombosis
Factor V Leiden Mutation
Vein inflammation

ICD-10 J20

Medical condition Acute bronchitis

Age 61 Years

Result identified

61-year-old female with acute bronchitis

ICD-10: J20

Present symptoms:

Cough
Sniffles
Fever

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:

Acute bronchitis
Common cold
COVID-19 infection

ICD-10 J02

Medical condition Pharynx inflammation

Age 26 Years

Result identified

26-year-old male with pharynx inflammation

ICD-10: J02

Present symptoms:

Sore throat
Cough
Headache
Red throat

Additional information:

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:

Pharynx inflammation
Acute bronchitis
Common Cold

ICD-10 K37

Medical condition Appendicitis

Age 12 Years

Result not identified

12-year-old female with appendicitis

ICD-10: K37

Present symptoms:

Abdominal pain
Nausea
Vomiting
Diarrhea
Fever
Hard abdominal wall

Additional information:

Has your appendix already been removed?

Are you aware that in the last 14 days you have had personal contact with a person suffering from COVID-19?

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 could not be identified

Conditions identified by XUND:

Rotavirus
Salmonella infection
COVID-19 infection

ICD-10 R10.83

Medical condition Baby colic

Age 1 Years

Result not identified

1-year-old male with baby colic

ICD-10: R10.83

Present symptoms:

Constipation
Anal bleeding
Changed stool color

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 could not be identified

Conditions identified by XUND:

Anal fissure

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, which account for the vast majority of illness cases. Today, this is more than 500 illnesses.

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