34 citations · 82 across the 4 of their papers we have counts for
5 papers
SIGHT: A Methodological Appraisal Framework for Evaluating Large Language Models in Ophthalmology
Hadi Vahedi, Fatemeh Razmjooei, Farbod Semnani +3
Large language models (LLMs) are increasingly evaluated across ophthalmic tasks, yet the methodological quality of these evaluations has received little attention. Most studies rep…
Radiomics and artificial Intelligence for thyroid cancer diagnosis: Concepts, challenges, and solutions
Milad Yousefi, Shadi Farabi Maleki, Hadi Vahedi +9
Thyroid cancer is an increasing global health concern that requires advanced diagnostic methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this…
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi +7
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagno…
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya +9
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. Wh…
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade
Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh +7
Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been o…