ai med

AI-MedPHYSICIAN ASSISTANT ARTIFICIAL INTELLIGENCE REFERENCE SYSTEM (PAIRS)

We develop a Cortana or Siri for Medicine

We help doctors solve complex clinical problems while they attend their medical

practice.

Misdiagnosis or Missed DiagnosisClinical 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.

Some ExamplesPanniculitis: ◦ 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:

IncidenceWorld 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

Detection of Medical ErrorsMeasurement of Errors

Morbidity

Mortality

AutopsyEMR, IT

Observation

Chart Review

SolutionOur 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.

Process

FutureArtificial 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.

PatentWe 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.

What have we done so farWe completed development of our product

Web API

Rest Client

Mobile Platforms

Clinical Text Analysis and Knowledge Extraction

Word2vec medical text

Thank you

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