Spring uses AI to help patients get better faster. They empower doctors to make data-driven, personalized treatment decisions for their patients.
Right now, most depressed patients experiment with multiple drugs before finding one that works - it’s generally a huge waste of time and money for patients, doctors, and insurance companies. Their machine-learning model uses a 10 minute test to identify the treatment that will work best for a patient. Their peer-reviewed and published machine-learning algorithms are more accurate than more expensive genetic and biological precision medicine alternatives.
Most depressed patients struggle with a number of drugs, providers, and therapies until they find relief. They use peer-reviewed machine-learning technology and measurement-based care to minimize trial-and-error and get patients better as soon as possible.
Personalized Treatment Matching
Mobile Outcomes Tracking
They have the world’s first machine-learning model that accurately identifies the treatment that will work best for a patient.
Published in Lancet Psychiatry and JAMA Psychiatry
Developed by Yale University psychiatrists and data scientists
More accurate than more expensive genetic and biological precision medicine alternatives