Medical accuracy
96.7 %

*Evaluated based on 1,471 case studies.

Medical Quality

Leading-edge 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.

Benchmark with case studies from the standard literature.

In order to objectively assess the quality of XUND in comparison to other solutions, we assessed the 45 case studies from Semigran et al. 2015, 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. The results showed that 93.3% of the cases were identified correctly.

ICD-10
Medical condition
Age
Result
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?
No
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?
No
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?
No
Did you suffer any blunt force trauma to the affected area, such as a blow?
No
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?
No
Have you been suffering from such complaints regularly for a longer period of time?
No
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

The knowledge of millions built into one health solution.

Step 1
Data analysis with AI

Our artificial intelligence can analyze millions of medical publications from the literature and process data on over 4,000 condition concepts.

Step 2
Review by doctors

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

Step 3
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.

Step 4
Usability tests

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

Step 5
Release new version

We are continuously updating XUND in line with medical device regulations and to improve accuracy and coverage.

Want to know more? Here are 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.

Do you do clinical safety evaluations?

We continuously test our medical knowledge base and algorithms against cases reported in journals and training materials for doctors. We deem this the most reliable and scalable way to test the accuracy of the Medical API under verified, real-life circumstances. This is also the most commonly used approach to evaluate state-of-the-art devices by researchers and thus provides the best evidence base for a clinical evaluation of XUND with performance data.

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