هوش مصنوعی در تجویز داروی کووید-19: مروری سیستماتیک بر کاربردهای کارآزمایی بالینی
کد: G-1934
نویسندگان: Abolfazl Hajihashemi * ℗
زمان بندی: زمان بندی نشده!
برچسب: کشف و طراحی دارو
دانلود: دانلود پوستر
خلاصه مقاله:
خلاصه مقاله
Background: Artificial intelligence emerged as a game-changer for determining which medications could be helpful when COVID-19 struck, as the push to develop cures quickly was on. The use of artificial intelligence techniques in clinical trials to direct medication prescriptions for COVID-19 patients is examined in detail in this systematic review.We’re betting these systems can make treatments work better and speed up trials compared to the old-school ways of doing things. Method: We combed through PubMed, Scopus, and Web of Science, looking at studies from 2019 to 2025 that tested artificial intelligence in COVID-19 drug trials. We zeroed in on randomized trials and observational studies where doctors, pharmacists, or other healthcare pros used artificial intelligence tools—think machine learning or deep learning setups. We checked out who was involved, what kind of tech powered the systems (like neural networks or knowledge graphs), and where the trials happened, from busy hospitals to online platforms. Result: Out of 42 studies, artificial intelligence systems, especially those digging into drug repurposing with deep learning, pinpointed promising drugs like remdesivir and baricitinib. About 16% of these drugs made it to late-stage trials. The systems bumped up prescription accuracy by roughly 15% and slashed the time spent screening drugs by about 30% compared to manual methods. But it wasn’t all smooth sailing—spotty data quality and trouble applying results to diverse groups were issues, with only 20% of studies backing their findings with lab tests. conclusion: Artificial intelligence tools are showing real potential to shake up how we pick drugs for COVID-19, making trials quicker and prescriptions sharper. But they need solid, varied data and thorough testing to shine. Moving forward, we need clear rules for using these tools and a focus on fairness, like making sure everyone can benefit from them. This review highlights how artificial intelligence could change the game for pandemics but calls for careful, real-world checks to make sure it lives up to the hype.
کلمات کلیدی
Artificial Intelligence, COVID-19, Drug Prescription,Clinical Trials
