The ai-med system is an artificial intelligence reference tool for physicians that assists in diagnosing complex medical conditions and reducing clinical errors. It leverages diagnostic decision support and natural language processing to provide real-time clinical guidelines, aiming to mitigate misdiagnosis issues prevalent in healthcare. The system has been developed and is protected by copyright, with a strategic focus on becoming a significant player in the healthcare technology market.

1. AI-Med
PHYSICIAN ASSISTANT ARTIFICIAL INTELLIGENCE
REFERENCE SYSTEM (PAIRS)

2. We develop a Cortana or Siri for
Medicine
We help doctors solve complex clinical
problems while they attend their medical
practice.

3. Misdiagnosis or Missed Diagnosis
Clinical mistakes are common
and costly to the patient and
doctor.
Frequently they are due to lack
of information or cognition of a
disease presentation specially
in a busy practice.
Young doctors might make
mistakes due to inexperience.

4. Some Examples
Panniculitis:
◦ Subcuteneous panniculitis-like T-cell lymphoma (SPTL): ?clonality
Neisseria Meningitis:
◦ Bronchitis
Ectopic pregnancy:
◦ Splenitis
Myocardial infarction, Neuroendocrine tumor, Celiac, IBS:
◦ Acid Peptic Disease:
Brain tumor:
◦ Transient Visual or Motor symptoms:

5. Incidence
World Health Organization:
◦ 1 in 10 hospital admissions .. Adverse event
◦ 1 in 300 admissions… Death
◦ One of top ten killers
British National Health System:
◦ 15% of all diagnoses…misdiagnosis
Journal of American Medical Association 2000:
◦ 225 000 deaths annually:
◦ 106 000 medication errors
◦ 15% Misdiagnosis

6. Detection of Medical Errors
Measurement of Errors
Morbidity
Mortality
Autopsy
EMR, IT
Observation
Chart Review

7. Solution
Our AI system has Diagnostic Decision Support (DDS) which helps
doctors diagnose a case by suggesting tests.
Our AI system also has Natural Language Processing (NLP) which
provides crucial information to the doctor in time.
We provide established clinical guidelines to the doctors while
treating their patients in real time.

8. Process

9. Future
Artificial Intelligence is top in 5 disruptive technologies in
Healthcare by 2020.
CAGR of 42% to reach $6.6 billion in 2021 – FORBES
India overtakes US in smart phone users by 2016
Web application, web app and web API of AI-MED help in reaching
customers easily.

10. Patent
We are given
Indian copyright
for the software
by the
government.
Copyright is
owned by our
founder.
We own full rights
for sale of the
software.

11. What have we done so far
We completed
development of our
product
Web API
Rest Client
Mobile Platforms
Clinical Text
Analysis and
Knowledge
Extraction
Word2vec medical
text

12. Thank you
http://www.ai-med.in
http://www.ai-med.in/pairs
http://www.ai-med.in/cdss?cliState=
http://www.ai-med.in/pairs?feature=
http://www.ai-med.in/patient?filename=
http://www.ai-med.in/upload