Medical Informatics III

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DOI :10.26650/B/ET07.2023.005.20   IUP :10.26650/B/ET07.2023.005.20    Full Text (PDF)

Anesthesiology-Reanimation and Artificial Intelligence During Pandemic

Yasemin Özşahin, Hülya Yılmaz Ak, Kerem Erkalp, Ziya Salihoğlu

Artificial intelligence (AI) is a branch of computer science that can analyze complex medical data. It can be used to diagnose, treat and predict outcome in many clinical situations with data from patients. Pandemics and other public health emergencies typically lead to increased demand for medical care, which results in both the current system being inadequate and the need for new algorithms and medical approaches. PubMed was searched using the keywords ‘Artificial Intelligence’, ‘anesthesiology reanimation’, ‘pandemic’ and ‘covid’. Cross-references from key articles were examined to reach other references. It is planned to make an overview of the AI techniques used in the field of Anesthesiology Reanimation during the pandemic process. A total of 33 articles were found by searching with keywords. A total of 5 articles were reviewed by removing studies, surveys and reviews in which AI was not used. One of these studies was to predict the risk of mortality, one to predict the need for ECMO, one to predict the risk of renal failure, and one to predict the need for mechanical ventilators. In one, the use of artificial intelligence assisted ultrasound in patients in the intensive care unit was examined. With the onset of the epidemic, scientists all over the world began to look for alternative rapid screening, follow-up, vaccine and drug development methods. Although it is known that morbidity and mortality increase in advanced age in Covid patients, there is still no algorithm that predicts which patient group will have a more severe course of the disease. In this literature review, we observed that clinicians received help from artificial AI to meet this need and that the use of AI could be useful in estimating morbidity and mortality. Although most of the algorithms created with the support of AI need to be developed for routine use, we think that it will contribute to the fight against the pandemic. 


Keywords: Artificial intelligence, Pandemic, Covid-19, Anesthesiology Reanimation
DOI :10.26650/B/ET07.2023.005.20   IUP :10.26650/B/ET07.2023.005.20    Full Text (PDF)

Pandemi Sürecinde Anesteziyoloji – Reanimasyon ve Yapay Zekâ

Yasemin Özşahin, Hülya Yılmaz Ak, Kerem Erkalp, Ziya Salihoğlu

Yapay zeka (YZ), karmaşık tıbbi verileri analiz edebilen bir bilgisayar bilimi dalıdır. Hastalardan alınan veriler ile birçok klinik tabloda teşhis, tedavi ve sonucu tahmin etmede kullanılabilir. Pandemiler ve diğer halk sağlığı acil durumları tipik olarak tıbbi bakım talebinde artışa yol açar ve bu da hem mevcut sistemin yetersiz kalmasına hem de yeni algoritma ve tıbbi yaklaşımlara olan ihtiyacın artmasına sebep olur. PubMed’te ‘Artificial Intelligence’, ‘anestesiology reanimation’, ‘pandemic’ ve ‘covid’ anahtar kelimeleri kullanılarak tarama yapıldı. Anahtar makalelerden çapraz referanslar incelenerek başka referanslara ulaşıldı. Pandemi sürecinde Anesteziyoloji Reanimasyon alanında kullanılan YZ tekniklerine genel bir bakış yapılması planlandı. Anahtar kelimelerle arama yapılarak toplam 33 makaleye ulaşıldı. YZ’nın kullanılmadığı çalışmalar, anket çalışmaları, derlemeler çıkarılarak toplam 5 makale incelendi. Bunlardan biri mortalite riskini, biri ECMO ihtiyacını, biri böbrek yetmezliği riskini, biri de mekanik ventilatör gereksinimini öngörmeye yönelik çalışmalardı. Birinde ise yoğun bakım ünitesindeki hastalarda yapay zeka destekli ultrason kullanımı incelenmiştir. Salgının başlamasıyla birlikte dünyanın her yerindeki bilim insanları alternatif hızlı tarama, takip, aşı ve ilaç geliştirme yöntemleri aramaya başladı. Covid hastalarında ileri yaşta morbidite ve mortalitenin arttığı bilinmekle birlikte hastalığın hangi hasta grubunda daha ağır seyredeceğini ön gören bir algoritma hala yoktur. Bu literatür incelemesinde klinisyenlerin bu ihtiyacı karşılayabilmek için yapay YZ’den yardım aldığını ve YZ kullanımının morbidite ve mortalite tahmininde faydalı olabileceğini gözlemledik. YZ desteği ile oluşturulan algoritmaların çoğunun rutin kullanımı için geliştirilmeye ihtiyacı olsa da pandemi ile mücadeleye katkı sağlayacağını düşünmekteyiz.


Keywords: Yapay zeka, Pandemi, Covid-19, Anesteziyoloji Reanimasyon

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