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-10 J02
Medical condition Pharynx inflammation
Age 24 Years
Result identified
24-year-old male with pharynx inflammation
ICD-10: J02
Present symptoms:
  • Sore throat
  • Fever
  • Headache
  • Red throat
  • Swelling of the lymph nodes
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
  • Tonsil inflammation
  • Influenza
ICD-10 J00
Medical condition Common cold
Age 56 Years
Result identified
56-year-old male with common cold
ICD-10: J00
Present symptoms:
  • Cough
  • Sniffles
  • Runny nose
  • 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 2. result
Conditions identified by XUND:
  • Acute bronchitis
  • Common cold
  • COVID-19 infection
ICD-10 J18
Medical condition Pneumonia
Age 65 Years
Result identified
65-year-old male with pneumonia
ICD-10: J18
Present symptoms:
  • Cough
  • Fever
  • Breathing difficulties
  • General malaise
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 J20
Medical condition Acute bronchitis
Age 34 Years
Result identified
34-year-old female with acute bronchitis
ICD-10: J20
Present symptoms:
  • Cough 
  • Sniffles
  • Sore throat
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 B37.3
Medical condition Vulvovaginal candidiasis
Age 40 Years
Result identified
40-year-old female with vulvovaginal candidiasis
ICD-10: B37.3
Present symptoms:
  • Itching
  • Vaginal discharge
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:
  • Vulvovaginal candidiasis
ICD-10 A08
Medical condition Gastroenteritis flu
Age 2 Years
Result identified
2-year-old male with gastroenteritis flu
ICD-10: A08
Present symptoms:
  • Vomiting
  • 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:
  • Gastroenteritis flu
  • Influenza
ICD-10 K12.0
Medical condition Aphthae
Age 17 Years
Result identified
17-year-old male with aphthae
ICD-10: K12.0
Present symptoms:
  • Painful wounds 
  • Pain of the oral mucosa 
  • Inflammation in the mouth 
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:
  • Aphthae
ICD-10 A46
Medical condition Erysipelas
Age 26 Years
Result identified
28-year-old male with erysipelas
ICD-10: A46
Present symptoms:
  • Reddening of the skin
  • Leg pain
  • Swelling of the skin
  • 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 3. result
Conditions identified by XUND:
  • Vein inflammation
  • Boils
  • Erysipelas
ICD-10 N39.0
Medical condition Urinary tract infection
Age 26 Years
Result identified
26-year-old female with urinary tract infection
ICD-10: N39.0
Present symptoms:
  • Pain when urinating
  • Increased urge to urinate
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:
  • Bladder infection
  • Urinary tract infection
ICD-10 I21
Medical condition Heart attack
Age 64 Years
Result identified
64-year-old male with heart attack
ICD-10: I21
Present symptoms:
  • Chest pain
    test
  • Increased sweating
  • Breathing difficulties
  • Cold sweat
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:
  • Heart attack

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? 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.

Show all

Step into the future of healthcare.

Book a demo