Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design.

Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.

Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.

Transperitoneal approach for radical nephrectomy: five years experience at Pakistan Institute of Medical Sciences, Islamabad, Pakistan.

Background: Renal cell carcinoma (RCC) comprises 85% of all renal neoplasms. Radical nephrectomy is the only hope of cure for patients with RCC. Role of chemotherapy and radiotherapy is very limited because of the chemo-radio resistant nature of these tumours.