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 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?
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:
  • 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:
/
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:
  • 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?
No
Are you aware that in the last 14 days you have had personal contact with a person suffering from COVID-19?
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 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

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.

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