Ciputra, Fredy
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ARTIFICIAL INTELLIGENCE IN OPHTHALMOLOGY: CHALLENGES AND READINESS IN INDONESIA Dien Putri, Asnhy Anggun; Alberta, Ivana Beatrice; Ciputra, Fredy
Al-Iqra Medical Journal : Jurnal Berkala Ilmiah Kedokteran Vol. 6 No. 2 (2023): Al-Iqra Medical Journal: Jurnal Berkala Ilmiah Kedokteran
Publisher : Journal Medical Universitas muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/aimj.v6i2.10951

Abstract

Artificial Intelligence (AI) has been increasingly used in various fields of medicine. It involves the development of algorithms and computer programs that can learn from and adapt to data, enabling machines to perform tasks without explicit human instructions. The ultimate goal of AI is to create machines that can think and reason like humans. AI has the potential to transform the field of ophthalmology, which leads to improved patient care. This study aims to examine the current state of AI in ophthalmology, the challenges facing its adoption in Indonesia, and the opportunities for growth and development in this field. A literature search was conducted using PubMed, Google Scholar, and Proquest to identify relevant studies and reports related to AI in ophthalmology. AI in ophthalmology has been studied extensively in the field of screening, diagnosis, management, and predicting outcomes. Some studies proved that AI has a relatively high accuracy in diagnosing certain eye diseases, as demonstrated by its high sensitivity and specificity. However, high accuracy does not necessarily mean that AI is ready for clinical practice, especially in Indonesia. Several challenges include the risk of bias, the absence of standard assessment methods for AI, inadequate infrastructure and regulation, ethics, and sociocultural aspects. AI has the potential to revolutionize the ophthalmology field in Indonesia, leading to better patient outcomes and more efficient healthcare systems.
CURRENT MANAGEMENT OF POLYPOIDAL CHOROIDAL VASCULOPATHY Ciputra, Fredy
Al-Iqra Medical Journal : Jurnal Berkala Ilmiah Kedokteran Vol. 6 No. 2 (2023): Al-Iqra Medical Journal: Jurnal Berkala Ilmiah Kedokteran
Publisher : Journal Medical Universitas muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/aimj.v6i2.10953

Abstract

Currently, there are several treatment options that can be offered to patients with PCV, including photodynamic therapy, administration of anti-vascular endothelial growth factor (anti-VEGF) agents, thermal laser, or a combination of these. Currently, PDT has the highest potential as it is a therapeutic option targeted at the choroid. Although PDT has been recognized as the standard treatment for PCV due to its high regression rate and good functional outcomes, it also has some disadvantages. Initially, PDT treatment for PCV was found to have complications such as acute vision loss and massive subretinal haemorrhage. These complications have been reduced with the introduction of anti-VEGF agents in PCV management. There is no specific anti-VEGF agent that has shown superiority over others. Thermal laser is an effective and relatively cheaper modality of treatment compared to PDT. Thermal laser plays an important role in the management of PCV in extrafoveal, peripapillary, and peripheral areas. Combination therapy is an attractive option for patients with PCV which can provide better polyp closure and visual outcomes, and also a decrease in complication rates compared to monotherapy.