TY  - JOUR
T1  - Türkiye’de Tıp Eğitimi Müfredatlarında Yapay Zeka Derslerinin Durumunun Araştırılması
TT  - Investigation of the Status of Artificial Intelligence Courses in Medical Education Curriculum in Turkey
AU  - Gencer, Kerem
AU  - Gencer, Gülcan
PY  - 2024
DA  - December
Y2  - 2024
DO  - 10.54047/bibted.1520315
JF  - Bilgisayar Bilimleri ve Teknolojileri Dergisi
JO  - BIBTED
PB  - Mersin Üniversitesi
WT  - DergiPark
SN  - 2717-8579
SP  - 67
EP  - 76
VL  - 5
IS  - 2
LA  - tr
AB  - Yapay Zeka (AI), çeşitli sektörlerde önemli etkileri olan, hızla ilerleyen bir teknolojidir. Sağlık hizmetlerindeki ilerlemelerle birlikte tıp eğitimi de yapay zekanın etkisi altında gelişiyor. Bu dönüşüm, artan veri kullanımı ve ilaç-makine etkileşimlerinin desteklenmesi yoluyla klinik karar alma sürecini geliştirerek sağlık sektöründe önemli değişikliklere yol açmaktadır. Bu çalışmanın amacı Türkiye'de tıp eğitiminde yapay zeka derslerinin mevcut durumunu incelemek, özel ve devlet üniversitelerinin müfredatlarını karşılaştırmak ve yapay zekanın tıp eğitimine entegrasyonunu değerlendirmektir. Türkiye'de tıp eğitimi veren 112 üniversitenin müfredatları resmi internet siteleri üzerinden incelenerek sağlıkta yapay zeka ile ilgili dersler, bilgisayar destekli dersler ve programlama dilleri ele alındı. Türkiye'de sağlık hizmetlerinde yapay zeka derslerinin yakın zamanda üniversite müfredatına dahil edildiği ve daha da geliştirilmeye açık olduğu gözlemlendi. Bu dersler öncelikle teoriktir ve uygulamalı dersler yalnızca birkaç üniversitede mevcuttur. Ayrıca devlet üniversitelerinin müfredatlarında yapay zeka dersleri özel üniversitelere göre daha yaygındır. Tıp eğitiminde yapay zeka derslerinin daha önemli bir yere sahip olması ve daha pratik uygulamalar içermesi gerektiği sonucuna varılmıştır. Devlet üniversiteleri bu konuda daha fazla adım atmış olsa da hâlâ geliştirilecek noktalar var. Sonuç olarak yapay zeka tıp eğitiminin ayrılmaz bir parçası haline geliyor ve sağlık profesyonellerinin bu alandaki bilgisi gelecekteki sağlık hizmetlerinin iyileştirilmesinde kritik bir rol oynayacak.
KW  - Yapay Zeka
KW  - Tıp eğitimi
KW  - Müfredat
KW  - Derin öğrenme
KW  - Makine öğrenmesi
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UR  - https://doi.org/10.54047/bibted.1520315
L1  - https://dergipark.org.tr/tr/download/article-file/4088433
ER  -