Grigore T. Popa University of Medicine and Pharmacy
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review
Celina Silvia Stafie, Irina-Georgeta Șufaru, Cristina Mihaela Ghiciuc et al.
2023 · 84 Zit.
Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review
Alexandru Burlacu, Adrian Iftene, Daniel Jugrin et al.
2020 · 58 Zit.
Artificial Intelligence in Adult and Pediatric Dentistry: A Narrative Review
Seyed Mohammadrasoul Naeimi, Shayan Darvish, Bahareh Nazemi Salman et al.
2024 · 29 Zit.
Ethical Dilemmas of Using Artificial Intelligence in Medicine
Vasile Astărăstoae, Liliana Rogozea, Florin Leaşu et al.
2024 · 23 Zit.
AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters
Oana Butnaru, Monica Tatarciuc, Ionuț Luchian et al.
2025 · 18 Zit.
Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future
Alexandru Burlacu, Radu Crișan-Dabija, Iolanda Valentina Popa et al.
2020 · 17 Zit.
Challenging the supremacy of evidence-based medicine through artificial intelligence: the time has come for a change of paradigms
Alexandru Burlacu, Adrian Iftene, Eugen Busoiu et al.
2019 · 10 Zit.
ChatGPT: "To be or not to be" ... in academic research. The human mind's analytical rigor and capacity to discriminate between AI bots' truths and hallucinations
Aurelian Anghelescu, Ilinca Ciobanu, Constantin Munteanu et al.
2023 · 8 Zit.
Expending the power of artificial intelligence in preclinical research: an overview
A Diaconu, F D Cojocaru, I Gardikiotis et al.
2022 · 7 Zit.
How the Metaverse Is Shaping the Future of Healthcare Communication: A Tool for Enhancement or a Barrier to Effective Interaction?
Alexandru Burlacu, Crischentian Brinza, Nicolae Nichifor Horia
2025 · 5 Zit.
Correction of the Scientific Production: Publisher Performance Evaluation Using a Dataset of 4844 PubMed Retractions
C Toma, Liliana Padureanu, Bogdan Toma
2022 · 4 Zit.
Designing a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures
Andreea Roxana Luca, Tudor Florin Ursuleanu, Liliana Gheorghe et al.
2021 · 3 Zit.
Radiological Diagnosis of SARS-CoV-2 Infected Patients by Automated Classification of Chest Radiographs using DTL
Oana-Isabela Știrbu, Serban Teodor Nicolescu, George Serițan et al.
2022 · 2 Zit.
AI-Enhanced POCUS in Emergency Care
Monica Puticiu, Diana Cimpoeşu, FLORICA BĂGESCU-DRUGĂ POP et al.
2026 · 1 Zit.
Artificial Intelligence in Urology: New Technologies with Major Potential
Bogdan Novac, Radu Zara, Alin Ciobîcă
2024 · 1 Zit.