⚡ Quick Summary
A recent study examined the use of Artificial Intelligence (AI) in personal statements (PSs) for orthopaedic surgery residency applications. The findings revealed that AI was not utilized in the creation of these PSs, with all submissions confidently identified as human-generated.
🔍 Key Details
- 📊 Groups analyzed: 100 PSs before ChatGPT, 100 PSs after ChatGPT, 10 AI-generated PSs, and 10 hybrid PSs.
- 🧩 Detection tool: GPT-Zero was used to assess the text.
- ⚙️ Confidence levels: High, moderate, and uncertain verdicts were provided for text classification.
🔑 Key Takeaways
- 📊 Human-generated text comprised 94% of PRE-PS and 93% of POST-PS submissions.
- 💡 Hybrid PSs contained only 28% human-generated text.
- 🤖 AI-generated PSs had 0% human content, with a 100% confidence verdict.
- 🏆 All submissions to the program were classified as human-generated with >90% confidence.
- 🌍 Implications suggest a need for guidelines on AI use in residency applications.
- 🔮 Future research should monitor changes in AI utilization over time.
📚 Background
The integration of AI in medical education has been a topic of growing interest, particularly regarding its potential impact on residency applications. Personal statements are crucial in showcasing an applicant’s qualifications and motivations, making it essential to understand whether AI tools are influencing this process.
🗒️ Study
This study was conducted to analyze personal statements submitted to an orthopaedic surgery residency program. Researchers categorized the PSs into four distinct groups based on their submission dates relative to the release of ChatGPT, aiming to assess the prevalence of AI-generated content.
📈 Results
The analysis revealed that the percentage of human-generated text was remarkably high in both PRE-PS and POST-PS groups, at 94% and 93%, respectively. In contrast, hybrid PSs showed a significant drop to 28% human content, while AI-generated PSs contained no human text at all. The detection software confidently classified all AI-generated statements as such, with a 100% confidence level for the AI-PS group.
🌍 Impact and Implications
The findings of this study indicate that, at present, orthopaedic surgery residency applicants are not utilizing AI to craft their personal statements. This highlights the importance of maintaining the integrity of the application process. As AI technology continues to evolve, it is crucial for institutions to establish guidelines regarding its use in residency applications to ensure fairness and authenticity.
🔮 Conclusion
This study underscores the current lack of AI utilization in personal statements for orthopaedic surgery residency applications. The ability of AI detection software like GPT-Zero to accurately differentiate between human and AI-generated text is promising. As AI continues to develop, ongoing research will be essential to monitor its impact on the residency application landscape.
💬 Your comments
What are your thoughts on the role of AI in residency applications? Do you believe it will become more prevalent in the future? 💬 Share your insights in the comments below or connect with us on social media:
Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications.
Abstract
PURPOSE: Artificial intelligence (AI) has been increasingly studied within medical education and clinical practice. At present, it remains uncertain if AI is being used to write personal statements (PSs) for orthopaedic surgery residency applications. Our purpose was to analyze PS that were submitted to our institution and determine the rate of AI utilization within these texts.
METHODS: Four groups were created for comparison: 100 PS submitted before the release of ChatGTP (PRE-PS), 100 PS submitted after Chat Generative Pre-Trained Transformers introduction (POST-PS), 10 AI-generated PS (AI-PS), and 10 hybrid PS (H-PS), which contained both human-generated and AI-generated text. For each of the four groups, AI detection software (GPT-Zero) was used to quantify the percentage of human-generated text, “mixed” text, and AI-generated text. In addition, the detection software provided level of confidence (highly confident, moderately confident, uncertain) with respect to the “final verdict” of human-generated versus AI-generated text.
RESULTS: The percentage of human-generated text in the PRE-PS, POST-PS, H-PS, and AI-PS groups were 94%, 93%, 28%, and 0% respectively. All 200 PS (100%) submitted to our program had a final verdict of “human” with verdict confidence of >90%. By contrast, all AI-generated statements (H-PS and AI-PS groups) had a final verdict of “AI.” Verdict confidence for the AI-PS group was 100%.
CONCLUSION: Orthopaedic surgery residency applicants do not appear, at present, to be using AI to create PS included in their applications. AI detection software (GPTZero) appears to be able to accurately detect human-generated and AI-generated PSs for orthopaedic residency applications. Considering the increasing role and development of AI software, future investigations should endeavor to explore if these results change over time. Similar to orthopaedic journals, guidelines should be established that pertain to the use of AI on postgraduate training applications.
LEVEL OF EVIDENCE: V-Nonclinical.
Author: [‘Ozdag Y’, ‘Mahmoud M’, ‘Klena JC’, ‘Grandizio LC’]
Journal: J Am Acad Orthop Surg
Citation: Ozdag Y, et al. Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications. Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications. 2025; (unknown volume):(unknown pages). doi: 10.5435/JAAOS-D-24-01285
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Weekly Health & AI Digest – March 21, 2025 - Yesil Science
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