Publications by authors named "Amir M Vahdani"

Trustworthiness is crucial for artificial intelligence (AI) models in clinical settings, and a fundamental aspect of trustworthy AI is uncertainty quantification (UQ). Conformal prediction as a robust uncertainty quantification (UQ) framework has been receiving increasing attention as a valuable tool in improving model trustworthiness. An area of active research is the method of non-conformity score calculation for conformal prediction.

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Article Synopsis
  • * It emphasizes the effectiveness of convolutional neural networks (CNNs) in tumor segmentation, highlighting their clinical applications in treatment planning and monitoring tumor changes.
  • * The study also addresses the evolution of DL models, current challenges like data quality and model interpretability, and suggests future research directions that include tumor heterogeneity and genomic data integration.
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Objectives: This cross-sectional study, conducted as part of the Bushehr Elderly Health program stage II in Bushehr, Iran, aimed to evaluate health-related quality of life (HR-QoL) in individuals aged ≥ 60 with osteosarcopenia, a condition characterized by the co-occurrence of osteopenia/osteoporosis and sarcopenia. Given the increasing elderly population worldwide, understanding the HR-QoL of this demographic is crucial, with osteosarcopenia being a significant factor.

Methods: The study enrolled 2369 participants aged ≥ 60 and collected demographic and anthropometric data.

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  • Diabetic foot ulcers are serious complications of diabetes that can lead to amputations, significantly impacting patients' quality of life, particularly in Tehran, Iran.
  • This study aimed to evaluate the rates of lower extremity amputations in diabetic patients and identify factors related to the cause and type of these amputations based on medical records from 2011 to 2020.
  • Out of 4676 patients with diabetic foot ulcers, 882 (18.8%) underwent amputations, primarily affecting middle-aged men who had lived with diabetes for an average of 15.1 years, highlighting the need for better disease management and patient education.
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