I think a lot about Machine Learning and Artificial Intelligence these days... but I don’t view it at all
as competition but as an inspiration
- Gurpreet Dhaliwal, M.D., Professor of Medicine at the University of California, San Francisco.
IM Reasoning podcast, Episode 42: “Becoming an Expert Diagnostician”
At the heart of all the Isabel products is a highly trained, enhanced machine
learning system. The system is powered by cutting edge, statistical natural language processing software which
understands the meaning and context of unstructured free text. This is applied to Isabel’s medical database
containing thousands of carefully selected, evidenced-based documents of disease presentations which contain
both typical and atypical presentations for over 10,000 conditions...
Two Decades of Training
The engine has been trained over two decades on virtually every possible presentation of
the majority of all known diseases. The initial results are then passed through an additional set of algorithms
to ensure that only those diseases and drugs relevant to the patient’s age, gender and geographical region are
It is this unique structure, very different from the more
rules-based systems, which gives Isabel many inherent advantages:
- Easy to use yet able to rapidly handle any permutation of
- Scalability makes it easy to maintain, update and expand
- Published API makes it easy to integrate into other systems
- Platform structure enables the same core system to serve
many different audiences from clinicians to patients and in multiple languages.
Benefitting from close to two decades of continuous development, validation and clinician
feedback, Isabel today is widely acknowledged as the most accurate and versatile system available.
Medical professionals around the world trust Isabel to help broaden their differential
and enhance their clinical reasoning skills. Isabel uniquely combines accuracy, ease of use and speed,
covering over 10,000 conditions. Highly versatile with the ability to be used as a standalone system or fully
integrated into other electronic systems, Isabel helps clinicians to manage clinical uncertainty.
Trials have shown that Isabel can increase clinical reasoning skills by up to
while Clinical trials have revealed that Isabel includes what turned out to be the actual disease in its
list based on just the initial clinical features in
96% of cases.
Isabel Symptom Checker
The Isabel Symptom Checker (Isabel SC) for patients is the only symptom checker that
allows a patient to describe their symptoms in their own words and enter them in one go without the endless
questions found in a chatbot. Simple and easy-to-use, the system generates results in seconds. Its
integrated virtual triage feature helps patients figure out their next steps, present more appropriately and
it encourages patients to connect and engage with your institution. Isabel SC recently ranked highest for
accuracy in a large review of symptom checkers published in the BMJ.
Isabel did a perfect job for us in allowing
the students to build up a broader diff diagnosis.
- Todd Cassese MD, Assoc Professor, Quinipiac University Medical
Isabel Clinical Educator
I’m so glad we have Isabel, it has really assisted me to think outside the box... I utilize Isabel in clinic
regularly and the preceptor is impressed with the differentials I am able to offer during case presentation.
- Primary Care NP student, Madonna
The Isabel Clinical Educator is a powerful case-based learning platform for developing, measuring and honing
critical clinical reasoning skills in clinical learners.
For learners, it can be used as a tool to help build their differential
diagnoses skills. It truly is a gift in caring for patients.
- Joseph Schneider MD, CMIO, Children’s Medical Center,
Sign up for an Isabel demonstration
Interested in how Isabel can benefit your organization and want more information?
Sign up for an informative demonstration and discussion with an Isabel team member.