Ankara University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Acknowledging the use of human cadaveric tissues in research papers: Recommendations from anatomical journal editors
Joe Iwanaga, Vishram Singh, Aiji Ohtsuka et al.
2020 · 547 Zit.
Standardized statement for the ethical use of human cadaveric tissues in anatomy research papers: Recommendations from <i>Anatomical Journal</i><scp>Editors‐in‐Chief</scp>
Joe Iwanaga, Vishram Singh, Sén Takeda et al.
2022 · 252 Zit.
ChatGPT prompts for generating multiple-choice questions in medical education and evidence on their validity: a literature review
Yavuz Selim Kıyak, Emre Emekli
2024 · 106 Zit.
Is ChatGPT accurate and reliable in answering questions regarding head and neck cancer?
Oğuz Kuşçu, Erim Pamuk, Nilda Süslü et al.
2023 · 100 Zit.
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
Elif Bilgir, İbrahim Şevki Bayrakdar, Özer Çelik et al.
2021 · 80 Zit.
A critical perspective on guidelines for responsible and trustworthy artificial intelligence
Banu Buruk, Perihan Elif Ekmekçi, Berna Arda
2020 · 66 Zit.
Machine Learning-Based Surgical Planning for Neurosurgery: Artificial Intelligent Approaches to the Cranium
Tolga Turan Dündar, İsmail Yurtsever, Meltem Kurt Pehli̇vanoğlu et al.
2022 · 61 Zit.
Recombinant human erythropoietin administration in cardiac surgery
Levent Yazıcıoğlu, Sadık Eryilmaz, Mustafa Şırlak et al.
2001 · 46 Zit.
Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning’s ability to provide diagnoses and treatment plans for example neuro-oncology cases
Giovanni Kozel, Muhammet Enes Gurses, Neslihan Nisa Geçici et al.
2024 · 44 Zit.
Effects of Recombinant Human Erythropoietin on Mandibular Distraction Osteogenesis
Ahmet Mihmanlı, Doğan Dolanmaz, Mustafa Cihat Avunduk et al.
2009 · 42 Zit.
Assessing student perceptions and use of instructor versus <scp>AI</scp> ‐generated feedback
Erkan Er, Gökhan Akçapınar, Mohammad Khalil et al.
2024 · 40 Zit.
User preferences for ChatGPT-powered conversational interfaces versus traditional methods
Tam Sakirin, Rachid Ben Said
2023 · 33 Zit.
A Novel Hybrid Machine Learning Based System to Classify Shoulder Implant Manufacturers
Esra Sivari, Mehmet Serdar Güzel, Erkan Bostancı et al.
2022 · 25 Zit.
ChatGPT Can Offer At Least Satisfactory Responses to Common Patient Questions Regarding Hip Arthroscopy
Emre Anıl Özbek, Mehmet Batu Ertan, Peri Kından et al.
2024 · 23 Zit.
User preferences for ChatGPT-powered conversational interfaces versus traditional methods
Tam Sakirin, Rachid Ben Said
2023 · 22 Zit.