EndlessMedical API supports 2000+ clinical data points grouped into 830+ features and over 180 diseases.
EndlessMedical API is one of the most advanced AI clinical diagnosis systems. It supports symptoms, signs, results of blood work, imaging, and physical examination findings - just to mention few categories of features.
EndlessMedical API technology
Patent pending methods create synthetic patient level data, which can be later used for AI/ML modeling.
EndlessMedical API doesn’t allow to input any patients identifying data, like date of birth, or name

With synthetic data there are significantly fewer concerns about patients’ privacy.

Our technology only processes de-identified numbers for numerical features (i.e. age, hemoglobin level) and labels’ identifying categories for categorical features.
EndlessMedical API, at any point, can suggest the next "best step” on diagnostic pathway
It may be next physical examination maneuver, next question to the patient, next blood test or imaging study to be done, which will most efficiently narrow down the list of likely diagnoses, recommended tests, and additional recommendations.
EndlessMedical API will produce explanation on why this "next step” is recommended
This feature of our modelling can be used to optimize the time of care by guiding providers through interviews, physical examination sessions, workup, and treatment processes in the most efficient way.

We hope this will allow providers and patients to avoid unwanted adverse events from unnecessary testing and save resources spent on unnecessary testing.
Diagnoses are flagged by, including “life-threatening emergency”, “high risk”, or otherwise.
This feature will allow providers to triage patients and suggest preparing billing and coding consistent with E/M guidelines.

Flags will allow call-center triaging and in person triaging the patients to right setting (office, telehealth, ER, urgent care) and correct specialist.
Avoid being misled by big-data
How can we trust AI/ML modeling built on big-data when the research and experience repeatedly show that big data electronic medical record data is not trustworthy? This especially matters when it comes to rare diseases. Our technologies can be used to model rare (i.e. orphan) diseases.
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Predicted list of differential diagnoses/diseases are further subcategorized into medical areas and specialties
This feature can refer patients to a specialist specific to patient's signs and symptoms.
Documentation generation happens in the background real-time and on-the-go, as your users use EndlessMedical API
EndlessMedical technologies allow for documentation of the entire patient encounters real-time on-the-go as patient is being seen by provider.

EndlessMedical technologies are capable to generate synthetic, individual patient-level data, and use it for AI/ML modeling.

EndlessMedical API