Dr. Abdulrahman Nasser Mohammed Al Mopti

Assistant Professor

PhD in Computed Tomography
College of Applied Medical Sciences
Department of Radiological Sciences

An assistant professor and researcher in Radiological Sciences with expertise in medical imaging, radiomics, and machine-learning applications in oncology. Experienced in CT and MRI systems, academic teaching, and interdisciplinary research. Committed to advancing diagnostic radiology through innovation and collaboration.

0175417574
analmopti@nu.edu.sa

Qualifications

PhD (Medicine) – University of Dundee, United Kingdom (June 2025)
MSc in Medical Imaging– University of Manchester, United Kingdom (November 2019)
BSc in Diagnostic Radiography – King Khalid University, Saudi Arabia (August 2012)

Experiences

Faculty member, Department of Radiological Sciences, Najran University (2012 – Present)

Specialties and Skills

 

Diagnostic Medical Imaging

  • Computed Tomography (CT): 16-slice and 64-slice systems

  • Magnetic Resonance Imaging (MRI)

Radiomics and Image Texture Analysis

  • Radiomics feature extraction and quantitative imaging biomarkers

  • Image texture analysis for tumor characterization

Predictive Modeling

  • Tumor predictive modeling (e.g., UTUC, RCC)

  • Cardiac imaging indices and outcome prediction models

Technical Skills

Programming & Data Analysis

  • Python (pandas, scikit-learn, matplotlib)

  • R

  • MATLAB

Statistics & Biostatistics

  • Logistic regression

  • ROC curve analysis & AUC

  • Bootstrap methods

  • Cross-validation (CV)

  • DeLong test

Analytical Tools

  • SPSS

  • GraphPad Prism

  • Basics of SHAP & model interpretability

Research Methods

  • Design of clinical and observational studies

  • Development of data-collection protocols

  • Compliance with ICH E6 GCP and research integrity standards

  • Essential study documentation (TMF / ISF)

  • Scientific writing and manuscript preparation

  • Tables/figures development for publication

  • Systematic literature reviews

Teaching and Communication

  • Course planning and lecture preparation

  • Student assessment and academic supervision

  • Scientific presentation delivery

  • Report writing and executive summaries preparation

Quality and Organization

  • Research data management

  • Quality Assurance / Quality Control (QA/QC)

  • Safety and incident reporting

  • Institutional and regulatory compliance

  • Research documentation organization

Languages

  • Arabic: Native proficiency

  • English: Academic / Professional proficiency

Training Courses

Professional Training & Certifications:

Introduction to Good Clinical Practice (ICH E6 GCP)

  • Provider: NHS Research Scotland (NRS)

  • Dates: 25 Oct 2022 & 26 Apr 2023

  • Key Topics:

    • History of clinical trials & GCP development

    • Core GCP principles

    • UK legislation (Statutory Instrument)

    • Informed consent process

    • Investigator & sponsor responsibilities

    • Study conduct & safety reporting

    • Trial documentation (TMF / ISF)

    • Data management, QA/QC & monitoring

Introduction to R for Data Analysis

  • Instructor: Dr. Andrew Miles

  • Dates: 12–15 Mar 2025

Human Tissue Governance

  • Program: Guided Training Session – TASC

  • Location: Ninewells Hospital & Medical School

  • Date: 6 Dec 2023

PGR Research Integrity Training Resource

  • Provider: University of Dundee

  • Academic Year: 2022 / 2023

Essential Documents in Clinical Research

  • Provider: Tayside Medical Science Centre

  • Location: Ninewells Hospital & Medical School

  • Date: 13 Sep 2023

Principles of Artificial Intelligence

  • Provider: Saudi Data & AI Authority (SDAIA)

  • Date: Oct 2025

  • Content:

    • Overview of AI concepts

    • Machine learning fundamentals

    • Intelligent decision-making models in medical applications

Concepts and Advanced Applications of Artificial Intelligence

  • Provider: Saudi Data & AI Authority (SDAIA)

  • Date: Oct 2025

  • Content:

    • Advanced AI methodologies

    • Deep learning frameworks

    • AI applications in medical image analysis & diagnostic accuracy enhancement

Scientific Publications

Al Mopti, A., Alqahtani, A., Alshehri, A.H.D., Li, C., Nabi, G. (2025). Evaluating the Predictive Capability of Radiomics Features of Perirenal Fat in Enhanced CT Images for Staging and Grading of UTUC Tumours Using Machine Learning. Cancers, 17(7), 1220.
Al Mopti, A., Alqahtani, A., Alshehri, A.H.D., Li, C., Nabi, G. (2024). Perirenal Fat CT Radiomics-Based Survival Model for Upper Tract Urothelial Carcinoma: Integrating Texture Features with Clinical Predictors. Cancers, 16, 3772.
Alqahtani, A., Bhattacharjee, S., Almopti, A., Li, C., Nabi, G. (2024). Radiomics-based machine learning approach for predicting grade and stage in upper tract urothelial carcinoma: a step towards virtual biopsy. International Journal of Surgery, 110(6), 3258–68.
Alqahtani, A., Bhattacharjee, S., Almopti, A., Li, C., Nabi, G. (2024). Radiomics-based computed tomography urogram approach for the prediction of survival and recurrence in upper tract urothelial carcinoma. Cancers, 16(18), 3119.

 

Taught Courses

  • Computed Tomography Technology (ASH-3 427)

  • Applied Pathology (ASH-2 458)

  • Radiologic Pathology (ASH-2 341)

Office Hours

 

  8-9 9-10 10-11 11-12 12-1 1-2
الأحد
Sunday		            
الاثنين
Monday		 Office Hours Office Hours Office Hours Office Hours    
الثلاثاء
Tuesday		            
الأربعاء
Wednesday		     Office Hours Office Hours Office Hours  
الخميس
Thursday		 Office Hours Office Hours     Office Hours Office Hours