TIP FAKÜLTESİ ÖĞRENCİLERİNİN TIBBİ YAPAY ZEKA HAZIR BULUNUŞLULUĞUNUN İNCELENMESİ

Öz

AMAÇ: Bu çalışmada, yapay zekanın (YZ) sağlık alanında hayatımızın ayrılmaz bir parçası haline gelmesi ile birlikte tıp öğrencilerinin yapay zeka teknolojileri ve yapay zekanın tıptaki uygulamaları konusunda algıladıkları hazır bulunuşlukları araştırılmıştır. GEREÇ VE YÖNTEM: Bu araştırma Afyonkarahisar Sağlık Bilimleri Üniversitesi’nde (AFSÜ) öğrenim gören 1-3. sınıf öğrencilerine uygulanmıştır. Çalışmaya katılmayı kabul eden 203 öğrenci örnekleme alınmıştır. Veriler araştırmacılar tarafından hazırlanan sosyodemografik form ve tıbbi yapay zeka hazır bulunuşluluk ölçeği ile toplanmıştır. Verilerin analizi R.4.3.2 ortamı kullanılarak yapılmıştır. BULGULAR: Çalışmada yer alan 203 öğrencinin 121’i (% 59,6) kız öğrenci, 82’si (% 40,4) erkek öğrencidir. Tıbbi yapay zeka bilişsel hazır bulunuşluluğunun erkek öğrencilerde, kız öğrencilere göre daha fazla olduğu ve bunun istatistiksel olarak anlamlı olduğu görülürken, bilişsel, öngörü ve etik hazır bulunuşluluklarında kız ve erkek öğrenciler arasında anlamlı farklılık bulunmamıştır. Ayrıca, öğrencilerin tıbbi yapay zeka bulunuşlulukları öğrencilerin sınıflarına göre önemli bir farklılık göstermemektedir. SONUÇ: Öğrenciler için yapay zeka teknolojileri ve uygulamaları konusunda algılanan hazır bulunuşluk düzeyleri değerlendirildiğinde, tıbbi yapay zeka hazır bulunuşluluk ölçeği'nin alt boyutlarında genel olarak puanların düşük olduğu görülmüştür. En düşük puana bilişsel alt boyut sahiptir. En yüksek puan ise etik hazır bulunuşlulukta görülmüştür. Sonuç olarak elde edilen bu puanlar, öğrenci ihtiyaçlarının değerlendirilmesinde ve tıp eğitiminde değerli bir müfredatın geliştirilmesi için bir araç olarak kullanılabilir.

Anahtar Kelimeler

• Yapay zeka
• Tıp
• Tıp öğrencileri
• Müfredat.

INVESTIGATION OF MEDICAL ARTIFICIAL INTELLIGENCE READINESS OF MEDICAL FACULTY STUDENTS

Öz

OBJECTIVE: In this study, with the fact that artificial intelligence (AI) has become an integral part of our lives in the field of health, medical students' perceived readiness for artificial intelligence technologies and applications of artificial intelligence in medicine has been investigated. MATERIAL AND METHODS: This research was conducted in the 1st-3rd grades studying at Afyonkarahisar Health Sciences University (AFSÜ). 203 students who agreed to participate in the study were included in the sample. Data were collected with the sociodemographic form and medical artificial intelligence readiness scale prepared by the researchers. Data analysis was done using the R 4.0.2 environment. RESULTS: Of the 203 students included in the study, 121 (59.6%) were female students, and 82 (40.4%) male students. While it was observed that medical artificial intelligence cognitive readiness was higher in male students than in female students and this was statistically significant, there was no significant difference between male and female students in their cognitive, foresight, and ethical readiness. Additionally, students' medical artificial intelligence presence does not differ significantly according to students' grades. CONCLUSIONS: When the students' perceived readiness for artificial intelligence technologies and applications were evaluated, it was seen that the scores were generally low in the sub-dimensions of the medical artificial intelligence readiness scale. The cognitive sub-dimension has the lowest score. The highest score was seen in ethical readiness. These scores can be used as a tool to assess student needs and develop a valuable curriculum in medical education.

Anahtar Kelimeler

• Artificial intelligence
• Medicine
• Medical students
• Curriculum.

Kaynakça

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