LMM
Our Large Medical Model (LMM) is a generative healthcare AI that uses deep learning to predict future outcomes for individuals and populations, pre-trained on over a million patients' claims and clinical FHIR data.
Simulate patient futures
LMM (patent pending) can generate future paths for a patient, condition, procedure, or their combinations. Aggregated paths can probabilistically shed light on a patient or population's journey.
cohort definition (patient history includes)
female
male
patients30
50
70
year oldwith
stroke
colon cancer
heart failure
undergoing a
physical
heart bypass
knee replacement
LMM (frequency of predictions over next year)
Risk calculation
LMM can calculate the risk for how quickly a disease progresses for a patient or population.
cohort definition (patient history includes)
Male patients who are 67 years old with obesity with a treatment plan starting with
metformin
gastric bypass surgery
liraglutide (semaglutide)
diet / exercise (counseling)
LMM (frequency of predictions over next year)
⬤ All other events⬤ Diabetic or Kidney events
Cost of care
LMM can identify futures impacted by medical decisions. The monetary impact of future events can be aggregated to understand the economics of a care decision.
cohort definition (patient history includes)
59 year old female with osteoarthritis for the hip who is
going in for a
physical
hip replacement
LMM (frequency of predictions over next year)
Quality measurement and readmissions
LMM can can calculate the quality of care via readmissions or other events indicative of positive healthcare outcomes.
cohort definition (patient history includes)
71 year old female patient with congestive heart failure and a treatment plan beginning with the following:
a primary care appointment
furosemide
angiotensin receptor blocker (losartan)
implantable cardiac defibrillator
LMM (frequency of predictions over next year)