Which Is Superior in Creating Scientific Article Titles in Plastic Surgery: Human Intelligence or Artificial Intelligence?

Gokce Yıldıran; Sare Demirtas; Hande Akdeniz; Zekeriya Tosun

Article Details

Which Is Superior in Creating Scientific Article Titles in Plastic Surgery: Human Intelligence or Artificial Intelligence?

Authors:

Gokce Yıldıran | Sare Demirtas | Hande Akdeniz | Zekeriya Tosun

Publisher:

Selcuk University

Main Topics:

Klinik Tıp Bilimleri (Diğer)

Journal:

Genel Tıp Dergisi Vol.35 Issue 2, pp.222-225

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001345132

pISSN:

2602-3741

Keywords:

Abstract:

 Aim: This study explores the effectiveness of artificial intelligence AI versus human expertise in generating scientific article titles within the context of plastic surgery. Acknowledging the pivotal role titles play in attracting readership and conveying a studys significance, this research investigates whether AI can match or surpass human capability in crafting compelling titles for academic articles. Material and Methods: Utilizing a sample of original articles from the Plastic and Reconstructive Surgery Journal, published in January and February 2023, the study employs OpenAIs ChatGPT to generate alternative titles based on article abstracts. A survey among plastic, reconstructive, and aesthetic surgery experts, with a blinded setup regarding the origin of the titles AI-generated or original, facilitates the comparison. Statistical analysis, including t-tests and the Mann-Whitney U test, assesses preferences across general and specific subject areas within plastic surgery. Results: Findings indicate a predominant preference for original titles, yet in certain subjects like handperipheral nerve surgery, AI-generated titles were more favored. On the other hand, in experimental and cosmetic subjects original titles were more favored. Conclusion: The study highlights the potential and limitations of AI in academic creativity, suggesting a nuanced view where AIs effectiveness varies by subject matter, such as experimental and cosmetic subjects. It concludes that while AI exhibits competence in title generation, human oversight remains crucial, especially in areas requiring deep expertise and nuanced understanding. This investigation contributes to the discourse on AIs role in academic publishing, emphasizing the need for balanced integration of AI tools in the scientific communication process.

 Aim: This study explores the effectiveness of artificial intelligence AI versus human expertise in generating scientific article titles within the context of plastic surgery. Acknowledging the pivotal role titles play in attracting readership and conveying a studys significance, this research investigates whether AI can match or surpass human capability in crafting compelling titles for academic articles. Material and Methods: Utilizing a sample of original articles from the Plastic and Reconstructive Surgery Journal, published in January and February 2023, the study employs OpenAIs ChatGPT to generate alternative titles based on article abstracts. A survey among plastic, reconstructive, and aesthetic surgery experts, with a blinded setup regarding the origin of the titles AI-generated or original, facilitates the comparison. Statistical analysis, including t-tests and the Mann-Whitney U test, assesses preferences across general and specific subject areas within plastic surgery. Results: Findings indicate a predominant preference for original titles, yet in certain subjects like handperipheral nerve surgery, AI-generated titles were more favored. On the other hand, in experimental and cosmetic subjects original titles were more favored. Conclusion: The study highlights the potential and limitations of AI in academic creativity, suggesting a nuanced view where AIs effectiveness varies by subject matter, such as experimental and cosmetic subjects. It concludes that while AI exhibits competence in title generation, human oversight remains crucial, especially in areas requiring deep expertise and nuanced understanding. This investigation contributes to the discourse on AIs role in academic publishing, emphasizing the need for balanced integration of AI tools in the scientific communication process.

 Aim: This study explores the effectiveness of artificial intelligence AI versus human expertise in generating scientific article titles within the context of plastic surgery. Acknowledging the pivotal role titles play in attracting readership and conveying a studys significance, this research investigates whether AI can match or surpass human capability in crafting compelling titles for academic articles. Material and Methods: Utilizing a sample of original articles from the Plastic and Reconstructive Surgery Journal, published in January and February 2023, the study employs OpenAIs ChatGPT to generate alternative titles based on article abstracts. A survey among plastic, reconstructive, and aesthetic surgery experts, with a blinded setup regarding the origin of the titles AI-generated or original, facilitates the comparison. Statistical analysis, including t-tests and the Mann-Whitney U test, assesses preferences across general and specific subject areas within plastic surgery. Results: Findings indicate a predominant preference for original titles, yet in certain subjects like handperipheral nerve surgery, AI-generated titles were more favored. On the other hand, in experimental and cosmetic subjects original titles were more favored. Conclusion: The study highlights the potential and limitations of AI in academic creativity, suggesting a nuanced view where AIs effectiveness varies by subject matter, such as experimental and cosmetic subjects. It concludes that while AI exhibits competence in title generation, human oversight remains crucial, especially in areas requiring deep expertise and nuanced understanding. This investigation contributes to the discourse on AIs role in academic publishing, emphasizing the need for balanced integration of AI tools in the scientific communication process.

 Aim: This study explores the effectiveness of artificial intelligence AI versus human expertise in generating scientific article titles within the context of plastic surgery. Acknowledging the pivotal role titles play in attracting readership and conveying a studys significance, this research investigates whether AI can match or surpass human capability in crafting compelling titles for academic articles. Material and Methods: Utilizing a sample of original articles from the Plastic and Reconstructive Surgery Journal, published in January and February 2023, the study employs OpenAIs ChatGPT to generate alternative titles based on article abstracts. A survey among plastic, reconstructive, and aesthetic surgery experts, with a blinded setup regarding the origin of the titles AI-generated or original, facilitates the comparison. Statistical analysis, including t-tests and the Mann-Whitney U test, assesses preferences across general and specific subject areas within plastic surgery. Results: Findings indicate a predominant preference for original titles, yet in certain subjects like handperipheral nerve surgery, AI-generated titles were more favored. On the other hand, in experimental and cosmetic subjects original titles were more favored. Conclusion: The study highlights the potential and limitations of AI in academic creativity, suggesting a nuanced view where AIs effectiveness varies by subject matter, such as experimental and cosmetic subjects. It concludes that while AI exhibits competence in title generation, human oversight remains crucial, especially in areas requiring deep expertise and nuanced understanding. This investigation contributes to the discourse on AIs role in academic publishing, emphasizing the need for balanced integration of AI tools in the scientific communication process.

Article Details

Which Is Superior in Creating Scientific Article Titles in Plastic Surgery: Human Intelligence or Artificial Intelligence?

Authors:

Gokce Yıldıran | Sare Demirtas | Hande Akdeniz | Zekeriya Tosun

Publisher:

Selcuk University

Main Topics:

Klinik Tıp Bilimleri (Diğer)

Journal:

Genel Tıp Dergisi Vol.35 Issue 2, pp.222-225

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001345132

pISSN:

2602-3741

Artifical intelligence

article

plastic surgery

title

Issues

Article Details

Which Is Superior in Creating Scientific Article Titles in Plastic Surgery: Human Intelligence or Artificial Intelligence?

Authors: Gokce Yıldıran | Sare Demirtas | Hande Akdeniz | Zekeriya Tosun

Publisher: Selcuk University

Main Topics: Klinik Tıp Bilimleri (Diğer)

Journal: Genel Tıp Dergisi Vol.35 Issue 2, pp.222-225

Document Type: Article

Publication Date: 4/2025

Document Language: English

Document ID (Org No.): 2001345132

pISSN: 2602-3741

Artifical intelligence

article

plastic surgery

title

Issues

Authors:

Gokce Yıldıran | Sare Demirtas | Hande Akdeniz | Zekeriya Tosun

Publisher:

Selcuk University

Main Topics:

Klinik Tıp Bilimleri (Diğer)

Journal:

Genel Tıp Dergisi Vol.35 Issue 2, pp.222-225

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001345132

pISSN:

2602-3741