The use of artificial neural networks in studying the progression of glaucoma.

In ophthalmology, artificial intelligence methods show great promise due to their potential to enhance clinical observations with predictive capabilities and support physicians in diagnosing and treating patients. This paper focuses on modelling glaucoma evolution because it requires early diagnosis, individualized treatment, and lifelong monitoring. Glaucoma is a chronic, progressive, irreversible, multifactorial optic neuropathy that primarily affects elderly individuals.

Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions.

Background: Having several applications in medicine, and in ophthalmology in particular, artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing a key role in diagnosing eye diseases and in predicting the evolution of these common and disabling diseases. AI tools, i.e.

Classification Algorithms Used in Predicting Glaucoma Progression.

In this paper, various machine learning algorithms were used in order to predict the evolution of open-angle glaucoma (POAG). The datasets were built containing clinical observations and objective measurements made at the Countess of Chester Hospital in the UK and at the "St. Spiridon" Hospital of Iași, Romania.

Success of Primary Trabeculectomy in Advanced Open Angle Glaucoma.

Aim: The study assesed trabeculectomy survival in advanced open angle glaucoma (OAG).

Methods: This is a retrospective longitudinal study in advanced OAG undergoing primary trabeculectomy. Clinical and demographic parameters were recorded.

E-cadherin expression in primary colorectal cancer and metastatic lymph nodes.

Colorectal cancer (CRC) is one of the most prevalent malignancies and fourth cause of cancer death worldwide but the current TNM staging system together with clinicopathological characteristics are not sufficient to identify cases that have a poor prognosis. The aim of the current study was to compare E-cadherin expression in primary CRC and lymph node metastases with the one exhibited by normal colic mucosa and normal lymph nodes, and to evaluate its association with disease severity. The authors retrospectively analyzed 65 patients that underwent colectomy for CRC at the First Surgical Clinic, "Sf.