Bioengineering Center

Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass?

Patrick Gladding, Will Hewitt, Todd T. Schlegel

2020 · 9 Zit.

An AI-Based CAP Framework for Wilms’ Tumor Preoperative Chemotherapy Susceptibility

Israa Sharaby, Ahmed Alksas, A. Nashat et al.

2023 · 4 Zit.

Dental Students' Knowledge, Attitudes and Perceptions of Artificial Intelligence Tools to Aid in the Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders

Vlaho Brailo, Rosa María López‐Pintor, Molly Harte et al.

2026 · 2 Zit.

Deterministic Value of Neurosurgeon-Assessed Meningioma Features in MRI and CT scans for Predicting Tumor Growth Risk and Volumetric Progression

Nima Sadeghzadeh, Brendan Davis, Samantha J. Holdsworth et al.

2025 · 1 Zit.

Artificial Intelligence-Based Ultrasound Imaging Classification for Infant Neurological Impairment Disorders: A Review

Lemana Spahić, Zerina Mašetić, Almir Badnjević et al.

2024 · 1 Zit.

Author response: Bioengineering horizon scan 2020

Luke Kemp, Laura Adam, Christian R. Boehm et al.

2020 · 1 Zit.

Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and Fine-tuned KoELECTRA

Dongsuk Jang, Hyeryun Park, Jiye Son et al.

2024 · 1 Zit.

Machine Learning for Automated Classification of Vertebral Bodies with a Propensity to Fragility Fracture

Victor Hugo Zani, Joao Pedro Timossi Rozette, Gabriel Luciano et al.

2025 · 0 Zit.

QQJ: Quantifying Qualitative Judgment for Scalable and Human-Aligned Evaluation of Generative AI

Marjan Veysi, Pirooz Shamsinejadbabaki, Mohammad Zare et al.

2026 · 0 Zit.

Board 19: Work in Progress: Towards Self-reported Student Usage of AI to Direct Curriculum in Technical Communication Courses

Kavon Karrobi, Angela Lai

2024 · 0 Zit.

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics

Maytha AL-Ali, Majed Alwateer, Shatha Abed Alsaedi et al.

2026 · 0 Zit.