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-10H81.1
Medical conditionVertigo
Age65 Years
Result identified
65-year-old female with vertigo
ICD-10: H81.1
Present symptoms:
  • Dizziness
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:
  • Vertigo
ICD-10L20
Medical conditionAtopic dermatitis
Age12 Years
Result identified
12-year-old female with atopic dermatitis
ICD-10: L20
Present symptoms:
  • Itching
  • Dry skin
  • Crusts on the skin
  • Reddening of the skin
Additional information:
Do you have any known allergies?
Yes
Do you or your parents have asthma, neurodermatitis or a chronic allergic rhinitis?
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:
  • Atopic dermatitis
  • Non-servere allergic reaction
  • Skin fungus
ICD-10M54
Medical conditionGeneral back pain
Age38 Years
Result identified
38-year-old male with general back pain
ICD-10: M54
Present symptoms:
  • Lower-back pain
Additional information:
Have you had similar symptoms in the past that have disappeared again without any treatment?
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:
  • General back pain
ICD-10B02
Medical conditionShingles
Age77 Years
Result identified
77-year-old male with shingles
ICD-10: B02
Present symptoms:
  • Reddening of the skin
  • Rash
  • Blisters on the skin
  • General malaise
  • Headache
Additional information:
Do the blisters appear in small groups?
Yes
Does your rash have the shape of a stripe on one side of your body?
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:
  • Shingles
  • Non-severe allergic reaction
ICD-10J44
Medical conditionCOPD
Age67 Years
Result identified
67-year-old female with COPD
ICD-10: J44
Present symptoms:
  • Breathing difficulties
  • Cough
  • Fever
Additional information:
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
  • COVID-19 infection
  • Common cold
ICD-10J01
Medical conditionSinus infection
Age35 Years
Result identified
35-year-old female with sinus infection
ICD-10: J01
Present symptoms:
  • Sniffles
  • Facial pain
  • Runny nose
  • Overweight
Additional information:
Sit down and let your head hang down briefly between your legs. Is the pain on your face increasing?
Yes
Did your symptoms start suddenly, from one moment to the next?
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:
  • Sinus infection
  • Common cold
ICD-10K25
Medical conditionStomach ulcer
Age40 Years
Result identified
40-year-old male with stomach ulcer
ICD-10: K25
Present symptoms:
  • Abdominal pain
Additional information:
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:
  • Stomach ulcer
ICD-10H00.0
Medical conditionSty
Age30 Years
Result identified
30-year-old male with sty
ICD-10: H00.0
Present symptoms:
  • Eye pain
  • Swelling of the eyes
  • Red eyes
  • Knot in the eyelid
Additional information:
Have you recently suffered an injury, while doing sports or at work, that seems to be connected to your symptoms?
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:
  • Sty
  • Blepharitis
ICD-10I63
Medical conditionStroke
Age70 Years
Result identified
70-year-old male with stroke
ICD-10: I63
Present symptoms:
  • Speech disorders
  • Weakness of individual muscles
  • Paralysis
  • Forearm
  • Nausea
  • Vomiting
Additional information:
Did your symptoms start suddenly, from one moment to the next?
Yes
Are you aware of any heart disease?
Yes
Are you suffering from hypertension?
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:
  • Stroke
ICD-10Z91.03
Medical conditionInsect sting allergy
Age9 Years
Result identified
9-year-old male with insect sting allergy
ICD-10: Z91.03
Present symptoms:
  • Swelling of the skin
  • Reddening of the skin
Additional information:
Did your complaint come recently after you were stung by an insect?
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:
  • Boils
  • Insect sting allergy

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.

Step into the future of healthcare.