Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data

Karl G. Stonecipher, MD

Show Description +

Karl G. Stonecipher, MD, provides an overview of CSI Dry Eye, an AI-powered software system giving eye care providers a new method of diagnosing and treating patients with dry eye disease.

Posted: 5/07/2023

Up Next

Name: Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data
Uploaded: 2023-05-07T00:13:28+00:00
Description: Karl G. Stonecipher, MD, provides an overview of CSI Dry Eye, an AI-powered software system giving eye care providers a new method of diagnosing and treating patients with dry eye disease.

Keratoconus State of the Art: New Cutting Edge Treatments for Corneal Ectasia

William B. Trattler, MD

A Presbyopia-Correcting, Modular IOL System for the Treatment of Cataract Patients

George O. Waring IV, MD, FACS

Spectacle Independence after Implantation of Trifocal and Trifocal Toric Intraocular Lenses Using Intraoperative Aberrometry: Final Data

Ashley Brissette, MD, MSc, FRCSC

EyeSustain: ESCRS Surgeon Survey Results

David F. Chang, MD

Visual Outcomes and Patient Satisfaction with Implantation of a Novel Hydrophobic Acrylic Intraocular Lens and Delivery System

Joseph G. Christenbury, MD

Objective Visual Outcomes of Mixed and Matched Presbyopia-Correcting IOLs

Joaquin O. De Rojas, MD

Ergonomics in Ophthalmology: Why Your Job is a Pain in the Neck and What to Do about It

Alison D. Early, MD

Current Approach with Iris-Claw IOL in Complex Cases of IOL Exchange

Matteo Forlini, MD

Assessment of Unmet Needs in Demodex Blepharitis Using a Medical Chart Audit Study

Laura M. Periman, MD

Chord Mu - It Doesn't Matter

Daniel H. Chang, MD

Sustained-Release Bimatoprost Implant Placement in the Iridociliary Sulcus

Nathan M. Radcliffe, MD

Updates in Canaloplasty with the Omni Surgical System

Emily Schehlein, MD

Under the Lights: SLT as a First Line, Bilateral Treatment, and Update on DSLT

Yasemin Sozeri, MD

$Growing Refractive Surgery Options in the US 2023$

Growing Refractive Surgery Options in the US 2023

Audrey Talley Rostov, MD

Making Ophthalmology Sustainable: Reducing Your Overhead and OR Waste

Rengaraj Venkatesh, DO, DNB

EyeSustain: Reducing Environmental and Economic Impact of Ophthalmology

Aakriti Garg Shukla, MD

Back to All Videos

Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data

Karl G. Stonecipher, MD

Karl G. Stonecipher, MD, provides an overview of CSI Dry Eye, an AI-powered software system giving eye care providers a new method of diagnosing and treating patients with dry eye disease.

Posted: 5/07/2023

Please log in to leave a comment.

Meeting Coverage:

American Society of Cataract and Refractive Surgery Meeting

Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data

Up Next

Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data

More From ASCRS: 2023 Coverage