Bioengineering Center

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

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

2023 · 4 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.

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 · 0 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 · 0 Zit.

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

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

2025 · 0 Zit.

Transforming intensive care data to inform clinical insights: using predictive analytics for traumatic brain injury patients

Susan Mulcahy

2016 · 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.