Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students’ Perception
Congratulations to Professor Bisdas (Head of IAG’s Neuro-Oncology Clinical Research), and colleagues for publishing the results from this new study ‘Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students’ Perception’ demonstrating how AI can impact medical education and research.
The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. This study assesses attitute and skills of young professionals towards using AI in their daily work. The article demonstrates that with AI being the hot topic in medicine and dentistry, many professionals seek to gain understanding of AI principles and would like to have it incorporated into their training.
Title: Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students’ Perception.
Journal: Front Public Health, 2021 Dec 24;9:795284.
Authors: Sotirios Bisdas, Constantin-Cristian Topriceanu, Zosia Zakrzewska, Alexandra-Valentina Irimia, Loizos Shakallis, Jithu Subhash, Maria-Madalina Casapu, Jose Leon-Rojas, Daniel Pinto Dos Santos, Dilys Miriam Andrews, Claudia Zeicu, Ahmad Mohammad Bouhuwaish, Avinindita Nura Lestari, Lua’i Abu-Ismail, Arsal Subbah Sadiq, Almu’atasim Khamees, Khaled M G Mohammed, Estelle Williams, Aya Ibrahim Omran, Dima Y Abu Ismail, Esraa Hasan Ebrahim.
About Image Analysis Group (IAG)
IAG, Image Analysis Group is a unique partner to life sciences companies. IAG leverages expertise in medical imaging and the power of Dynamika™ – our proprietary cloud-based platform, to de-risk clinical development and deliver lifesaving therapies into the hands of patients much sooner. IAG provides early drug efficacy assessments, smart patient recruitment and predictive analysis of advanced treatment manifestations, thus lowering investment risk and accelerating study outcomes. IAG bio-partnering takes a broader view on asset development bringing R&D solutions, operational breadth, radiological expertise via risk-sharing financing and partnering models.
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