Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions.
Nicoleta AntonOvidiu Dumitru IlieSilvia CurteanuCătălin LisaOvidiu-Dumitru IlieFilip TârcoveanuCamelia-Margareta BogdaniciPublished in: Diagnostics (Basel, Switzerland) (2022)
In medicine, AI tools are used in surgery, radiology, gynecology, oncology, etc., in making a diagnosis, predicting the evolution of a disease, and assessing the prognosis in patients with oncological pathologies. In ophthalmology, AI potentially increases the patient's access to screening/clinical diagnosis and decreases healthcare costs, mainly when there is a high risk of disease or communities face financial shortages. AI/DL (deep learning) algorithms using both OCT and FO images will change image analysis techniques and methodologies. Optimizing these (combined) technologies will accelerate progress in this area.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- big data
- convolutional neural network
- healthcare
- case report
- coronary artery bypass
- palliative care
- optical coherence tomography
- rectal cancer
- current status
- prostate cancer
- acute coronary syndrome
- atrial fibrillation
- radical prostatectomy
- young adults
- health information