Amin Naemi

Explainable Multitask Transformers for Early Detection of Smoking Behaviors and Lung Cancer Symptoms from Danish Electronic Health Records

Amir Sorayaie Azar, Uffe Kock Wiil, Margrethe Bang Høstgaard Henriksen, Jamshid Bagherzadeh Mohasefi et autres

Lung cancer is the leading cause of cancer-related mortality, and early detection is challenging due to asymptomatic onset. Accurate detection of smoking behaviors and symptoms is essential for risk evaluation and timely intervention. This study developed multitask transformer-based models to simultaneously detect …

dk, ir (code pays fourni par la source)

Artificial intelligence language models for medical text analysis: A systematic review

Amir Sorayaie Azar, Jamshid Bagherzadeh Mohasefi, Uffe Kock Wiil, Amin Naemi et autres

ir, dk (code pays fourni par la source)

Artificial Intelligence in Gastrointestinal Wireless Capsule Endoscopy: A Systematic Literature Review and Meta-Analysis

Ali Sahafi, Anastasios Koulaouzidis, Amin Naemi

Background: Wireless capsule endoscopy is widely used for diagnosing gastrointestinal diseases, but manual interpretation of capsule videos is time-consuming and can vary between clinicians. Artificial intelligence has been increasingly studied to support capsule analysis and reduce clinical workload. This systematic literature review …

dk (code pays fourni par la source)

The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) – a multimodal deep learning model

Kristoffer Kittelmann Brockhattingen, Emilie Helgesen Karlsson, Tobias Bolvig Rasmussen Bielefeldt, Amin Naemi et autres

BACKGROUND: Early detection and treatment of sarcopenia are crucial for improving patient outcomes, yet current diagnostic methods often lack the accuracy, accessibility, and efficiency needed for widespread clinical use. The aim of this study was to develop an accurate, secure, and evidence-based …

be, dk (code pays fourni par la source)

Benchmarking Large Language Models for MIMIC-IV Clinical Note Summarization

Amin Naemi, Ali Sahafi

Large Language Models (LLMs) are increasingly applied in healthcare and are expected to play an active role in clinical practice. However, their effectiveness for clinical note summarization remains underexplored, and systematic comparisons across different models are lacking. This study addresses this gap …

dk (code pays fourni par la source)

Long-term history of continental weathering and particle transport to the sea

Donald E. Canfield, Shuichang Zhang, Ross N. Mitchell, Xiaomei Wang et autres

Here, we explore the long-term history of chemical weathering and particle transport from the continents to the oceans by leveraging the histories of Zr/Al, Rb/Al, and Na/Al in marine sediments over the last 2000 My. We interpret these data in the context …

dk, cn, us, ca (code pays fourni par la source)

Deep Learning for Comprehensive Analysis of Retinal Fundus Images: Detection of Systemic and Ocular Conditions

Mohammad Mahdi Aghabeigi Alooghareh, Mohammad Mohsen Sheikhey, Ali Sahafi, Habibollah Pirnejad et autres

The retina offers a unique window into both ocular and systemic health, motivating the development of AI-based tools for disease screening and risk assessment. In this study, we present a comprehensive evaluation of six state-of-the-art deep neural networks, including convolutional neural networks …

ir, dk, nl (code pays fourni par la source)

Author Correction: Predicting patients’ sentiments about medications using artificial intelligence techniques

Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh et autres

The original version of this Article contained errors. Information regarding permission to use the Drugs.com data for the purpose of this research was omitted and incorrect details on how to access the raw data have been provided.

dk, ir (code pays fourni par la source)

Dynamics of particle transport from soils to the sea

Donald E. Canfield, Amin Naemi

In this study, we explore the fate of soils, from their erosion into rivers to their final deposition as either continental or marine deposits. We focus on the continental United States and compare the chemistries of river suspended and bottom sediment with …

dk (code pays fourni par la source)

Author response for "Dynamics of particle transport from soils to the sea"

Donald E. Canfield, Amin Naemi

Applications of Artificial Intelligence for Metastatic Gastrointestinal Cancer: A Systematic Literature Review

Amin Naemi, Ashkan Tashk, Amir Sorayaie Azar, Tahereh Samimi et autres

BACKGROUND/OBJECTIVES: This systematic literature review examines the application of Artificial Intelligence (AI) in the diagnosis, treatment, and follow-up of metastatic gastrointestinal cancers. METHODS: The databases PubMed, Scopus, Embase (Ovid), and Google Scholar were searched for published articles in English from January 2010 …

dk, ir, nl (code pays fourni par la source)

Prognose der COVID-19-Verbreitung in Iran, Italien und Mexiko unter Verwendung neuartiger nichtlinearer autoregressiver neuronaler Netze und ARIMA-basierter Hybridmodelle

Amin Naemi, Mostafa Naemi, Romina Zarrabi Ekbatani, Thomas Schmidt et autres

dk, au (code pays fourni par la source)