Ali Gholamrezanezhad
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Coronavirus Disease 2019 (COVID-19) diagnostic technologies: A country-based retrospective analysis of screening and containment procedures during the first wave of the pandemic
2020 · 50 Zit. · Clinical Imaging
AI in radiology: From promise to practice − A guide to effective integration
2024 · 35 Zit. · European Journal of Radiology
Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology
2024 · 23 Zit. · American Journal of Roentgenology
Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis
2024 · 17 Zit. · Neuroradiology
Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists
2023 · 16 Zit. · Academic Radiology
Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors
2024 · 12 Zit. · Frontiers in Radiology
Predicting lymph node metastasis in thyroid cancer: systematic review and meta-analysis on the CT/MRI-based radiomics and deep learning models
2024 · 12 Zit. · Clinical Imaging
Potential strength and weakness of artificial intelligence integration in emergency radiology: a review of diagnostic utilizations and applications in patient care optimization
2024 · 11 Zit. · Emergency Radiology
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses
2024 · 5 Zit. · Clinical Imaging
An Evolution of Reporting: Identifying the Missing Link
2022 · 3 Zit. · Diagnostics
Transparency in Artificial Intelligence-Enhanced Scholarly Writing: Acknowledgment, Detection, and the Path Forward
2024 · 1 Zit. · Journal of the American College of Radiology
Optimizing the power of AI for fracture detection: from blind spots to breakthroughs
2025 · 0 Zit. · Skeletal Radiology
CT-Based Radiomics and Deep Learning for Preoperative Thyroid Nodule Classification: A Systematic Review, Meta-analysis, and Radiologist Comparison
2025 · 0 Zit. · Academic Radiology