Artificial Intelligence, Cataract, Postoperative Complications
Conditions
Keywords
Conjunctival hyperemia, Pterygium, Intraocular lens dislocation, Posterior capsule opacification, Pupil malformation, Suppurative endophthalmitis
Brief summary
Cataract surgery is the current standard of management for cataract patients, which is typically succeeded by a postoperative follow-up schedule. Here, the investigators established and validated an artificial intelligence system to achieve automatic management of postoperative patients based on analyses of visual acuity, intraocular pressure and slit-lamp images. The management strategy can also change according to postoperative time.
Interventions
DEVICEAn artificial intelligence system for postoperative management of cataract patients
This system can detect multiple postoperative complications of cataract patients and then provide a management strategy.
Sponsors
Ministry of Health, China
Xidian University
Sun Yat-sen University
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Patients who had surgery of cataract extraction combined with introcular lens implantation. * Patients should be aware of the contents and signed for the informed consent.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. | Up to 7 years |
Countries
China
Outcome results
None listed