Nathan Armani, M.Sc., Ph.D.

Pronouns: He/him/

Contact Overview Publications

Contact

Faculty of Medicine & Dentistry - Grad Research

Email: narmani@ualberta.ca
Address: Dianne and Irving Kipnes Health Research Academy
11405 87 Ave NW

Edmonton AB

T6G 1C9

Overview

Area of Study / Keywords

Machine Learning; Quantitative Image Processing; Transitional Medicine

About

Dr. Armani’s research is situated at the nexus of translational medicine, radiomics, and health data science, with a primary focus on advancing precision diagnostics. His research program applies quantitative image processing, machine learning, and statistical modeling to enhance the detection, characterization, and monitoring of complex medical conditions. He has led and contributed to studies integrating quantitative imaging with administrative health data and clinical trial datasets, enabling robust population-level modeling and predictive analytics. Leveraging principles of implementation science, his work investigates strategies to embed data-driven diagnostic tools into clinical and health system workflows. By integrating biomedical engineering, medical imaging, and large-scale health data, Dr. Armani’s research seeks to accelerate the translation of precision diagnostics into evidence-based healthcare practice.

Research

Dr. Armani’s research program integrates machine learning, quantitative image processing, and health data science to advance precision diagnostics and improve the characterization and monitoring of complex medical conditions. It applies machine learning, quantitative MRI and CT image analysis, and radiomic feature extraction to identify novel biomarkers and physiological patterns associated with clinical outcomes. The work spans large-scale administrative health data, clinical trials, and predictive modeling, enabling population-level analyses and the development of data-driven tools. Grounded in implementation science, the program also investigates strategies for integrating these diagnostic tools into clinical workflows, supporting the translation of research discoveries into evidence-based healthcare practice.

Featured Publications

Assessing the Effects of Immune Checkpoint Inhibitors on Bone Utilizing Machine Learning-assisted Opportunistic Quantitative Computed Tomography

Bryn E Matheson, Jacob L Jaremko, Alexandra Dowhanik, Jasmine Gill, Cassandra Gallant, John Walker, Nathan Armani, William D Leslie, Michael Kolinsky, Steven K Boyd, Carrie Ye

Journal of Bone and Mineral Research. 2025 January;

Effect of test duration and sensor location on the reliability of standing balance parameters derived using body-mounted accelerometers

Vahid Abdollah, Alireza Noamani, John Ralston, Chester Ho, Hossein Rouhani

BioMedical Engineering OnLine. 2024 January; 10.1186/s12938-023-01196-7

Investigating the effects of conventional thermoplastic ankle-foot and the neoprene ankle-foot orthoses on the kinetics and kinematics of gait in people with foot drop following traumatic injury of the peroneal nerve: A pilot study

Elnaz Esfandiari, Hassan Saeedi, Amir Ahmadi, Maryam Jalali, Afsaneh Mohammad Pour, Vahid Abdollah

The Foot. 2022 March; 10.1016/j.foot.2021.101898

The feasibility of implementing an English language version of GLA:D Back

Pilot and Feasibility Studies. 2021 December; 10.1186/s40814-020-00758-z

Use of machine learning to select texture features in investigating the effects of axial loading on T2-maps from magnetic resonance imaging of the lumbar discs

European Spine Journal. 2021 October; 10.1007/s00586-021-07036-3

Investigating the validity of a single tri-axial accelerometer mounted on the head for monitoring the activities of daily living and the timed-up and go test

Vahid Abdollah, Tarek N. Dief, John Ralston, Chester Ho, Hossein Rouhani

Gait & Posture. 2021 October; 10.1016/j.gaitpost.2021.08.020

Texture analysis in the classification of T2‐weighted magnetic resonance images in persons with and without low back pain

Vahid Abdollah, Eric C. Parent, Samin Dolatabadi, Erica Marr, Roger Croutze, Keith Wachowicz, Greg Kawchuk

Journal of Orthopaedic Research. 2021 October; 10.1002/jor.24930

Immediate effect of prefabricated and UCBL foot orthoses on alignment of midfoot and forefoot in young people with symptomatic flexible flatfoot: A radiographic evaluation

Prosthetics & Orthotics International. 2021 August; 10.1097/pxr.0000000000000010

Timing and dosage of FES cycling early after acute spinal cord injury: A case series report

The Journal of Spinal Cord Medicine. 2021 July; 10.1080/10790268.2021.1953323

The effects of axial loading on the morphometric and T 2 characteristics of lumbar discs in relation to disc degeneration

Clinical Biomechanics. 2021 January; 10.1016/j.clinbiomech.2021.105291

Comparing the effectiveness of group-based exercise to other non-pharmacological interventions for chronic low back pain: A systematic review

James Lemieux, Vahid Abdollah, Brandyn Powelske, Greg Kawchuk

PLOS ONE. 2020 December; 10.1371/journal.pone.0244588

Could compression and traction loading improve the ability of magnetic resonance imaging to identify findings related to low back pain?

Musculoskeletal Science and Practice. 2020 December; 10.1016/j.msksp.2020.102250

MRI evaluation of the effects of extension exercises on the disc fluid content and location of the centroid of the fluid distribution.

Abdollah V, Parent EC, Battié MC

Musculoskeletal science & practice. 2018 February; 10.1016/j.msksp.2017.11.008

The effects of a prophylactic knee brace and two neoprene knee sleeves on the performance of healthy athletes: a crossover randomized controlled trial.

Mortaza N, Ebrahimi I, Jamshidi AA, Abdollah V, Kamali M, Abas WA, Osman NA

2012 January; 10.1371/journal.pone.0050110

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