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LumineticsCore™

Product Benefits

Reimbursement

LumineticsCore is reimbursable using CPT code 92229

30-Second Algorithm

LumineticsCore can provide a diagnosis within 30 seconds of image submission

Care Gap Closure

Closes the diabetes eye exam care gap, improving HEDIS and MIPS score and Stars ratings

Digital Diagnostics

Customer Testimonials

Johns Creek Primary Care

“LumineticsCore™ really is cutting-edge technology that helps me market to patients, prevent vision loss from diabetes, and improve my quality scores”

Lee Herman, MD, FACP Johns Creek Primary Care

Tarzana Treatment Centers

“When we have a patient with a positive diagnosis, the clinical team has a feeling of satisfaction. We know we will intervene with a referral to eyecare the same day, potentially saving vision.”

Nicholas Herman, PA-C Medical Champion Tarzana Treatment Centers

Cahaba Medical Care

“An immediate point-of-care result is great to close the communications loop with the patient. The more you can get done when the patient is at the visit is better.”

John B. Waits, MD, FAAFP, Chief Executive Officer Cahaba Medical Care

Tarzana Treatment Centers

“Patients are empowered when they see how their retina looks and what a worse outcome prognosis could be. In this case, the patient was so motivated to not lose his sight that he dropped his HbA1c within three months. We are now discussing decreasing daily insulin dosages.”

Tarzana Treatment Centers Provider Overseeing Diabetes Care

Zufall Health

“It’s been a godsend for us.”

Christian Espinoza,Director of Clinic Operations Tarzana Treatment Centers

Zufall Health

“The identification of organ damage also provides crucial feedback for the patient and medical team regarding the need for intensifying or improving overall diabetes care.”

Douglas Bishop, MD Family Medicine Provider at Zufall Health Center

University Medical Center

“It’s a better and more efficient system that allows us to do more exams.”

LumineticsCore™ Operator, at UMC

OSF Healthcare

“Nearly one-quarter of all patients with diabetes who received the [LumineticsCore] exam tested positive for diabetic retinopathy. The AI can see the early changes of diabetic retinopathy that we may not be able to see with our own eyes.There’s nothing as good as prevention.”

Mark Meeker, DO, VP of Community Medicine at OSF HealthCare

LumineticsCore™

Immediate Impact

Digital Diagnostics Real World Evidence

Digital Diagnostics is the most researched autonomous AI diagnostic solution for diabetic eye disease

Case Study

LumineticsCore Increases Diabetic Retinopathy Detection at Johns Creek Primary Care

With the addition of LumineticsCore, adherence rates with diabetic retinal exams increased from 16.2% to 50.7% based on a year over year data comparison

Case Study

LumineticsCore Helps Address Health Equity with a High-risk Patient Population using Autonomous AI at Cahaba Medical Care

Within 90 days, LumineticsCore diagnosed one out of every three people tested with diabetic retinopathy, which would have otherwise gone undetected.

Case Study

Use of LumineticsCore Autonomous AI at Urban Health Exceeded Quality Targets and Improved Provider Efficiency

Combining eye exams for diabetes (EEDs) from eyecare providers and autonomous AI, UHP went from performing at 40% below target of 1000 annual EEDs every six months to 60% over target after implementation of an autonomous AI.

Case Study

LumineticsCore Improves Rates of Annual Eye Exams for Diabetes and Reduces Time-to-Follow-Up in a Complex Population at Tarzana Treatment Centers

There was a significant difference between the proportion of patients with diabetes completing their annual eye exam for diabetes with LumineticsCore compared to remote reading networks and there was a reduction in time-to-follow up from 60 days with a remote reading network to 5 days with LumineticsCore

Case Study

AbsoluteCare Healthcare System Implements Autonomous AI Diagnostic Testing to Streamline Care During Wellness Checks and Preserve Vision for People Living with Diabetes

LumineticsCore allowed AbsoluteCare’s providers to effectively determine if a patient was negative for DR, or if they should immediately seek the care of an eyecare specialist to treat the developing DR and halt its progression.

Publication

Study Finds Autonomous AI Boosts Medical Caregivers’ Productivity by 40% in Bangladesh

Autonomous AI increases healthcare system productivity, which could potentially increase access and reduce health disparities. The first randomized trial ever to be published on the efficiency gains of autonomous AI.

Publication

Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives

“Sustainable reimbursement will be key to scaling adoption — and thereby, realizing the potential benefits of medical AI to better health outcomes for all.”

Publication

Considerations for addressing bias in artificial intelligence for health equity

By focusing on the goal of ensuring health equity along the total product life cycle (TPLC) framework, stakeholders can collectively identify and mitigate inequities, leading to better health outcomes for all.

Publication

Real world outcomes from artificial intelligence to detect diabetic retinopathy in a primary care setting: 12-month experience

LumineticsCore Facilitates Care Gap Closure at Stanford Health System with Documented Achievement Surpassing 90th Percentile of HEDIS

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  • 30.3% of those referred after an AI-based exam followed up at the university eye institute compared with 11.5% of people referred for follow up after teleophthalmology testing.
  • The percentage of patients that received an annual eye exam increased from 65.2% to 72.8% in the clinics utilizing IDx-DR, exceeding the 90th percentile national benchmark (67.89%) for the Healthcare Effectiveness Data and Information Set (HEDIS) quality measure.

Digital Diagnostics

Research

Digital Diagnostics is actively looking into additional ways to leverage fundus imaging for AI based diagnostic solutions.

Our Vision
Exploring Glaucoma

Glaucoma is a group of eye diseases that can cause vision loss and is the second leading cause of blindness in the world.

More information about glaucoma detection coming soon.

Explainable
Exploring Cardiovascular Indications

Irregularities in the blood vessels of the retina can indicate the extent of injury on blood vessels by hypertension and heart attacks.

More information about potential cardiovascular indications coming soon.

Accessible
Exploring AMD

Age-related macular degeneration (AMD) is an eye disease that can blur your central vision.

More information about AMD diagnosis coming soon.

Clinically Aligned
Exploring Neurodegenerative Indications

Studies have shown that neurodegenerative changes in the brain are present in the retina.

More information about potential neurodegenerative indications coming soon.

SVG Image SVG Image used for stylistic purposes

About

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About Digital Diagnostics

Find out how Digital Diagnostics pioneers AI-driven healthcare, enhancing accessibility, affordability, and quality.

History of Digital Diagnostics

Discover how Digital Diagnostics became the first company to receive FDA clearance to diagnose with an AI diagnostic platform without physician input.

Founder Story

Learn how Dr. Michael Abramoff envisioned and brought to life the use of computers to help diagnose patients at an earlier stage, enabling effective treatment.

Leadership

View our Leadership Team, Advisors, and Board of Directors that drive the mission and vision of Digital Diagnostics.

Diversity, Equity & Inclusion

Explore Digital Diagnostics' dedication to Diversity, Equity, and Inclusion, shaping the future with ethical AI while making healthcare solutions safe, equitable, and accessible.

Our Mission & Vision Explained

Digital Diagnostics is committed to revolutionizing healthcare worldwide, while prioritizing equitable patient outcomes.

Our Mission

To transform the affordability, accessibility and quality of healthcare worldwide through the automation of medical diagnosis and treatment.

Our Vision

To be the world leader in developing safe, effective, and equitable AI platforms that improve patient outcomes.