Sara Ayoubi Ayoublu, Mehdi Vafakhah, Hamid Reza Pourghasemi
Efficiency evaluation of low impact development practices on urban flood risk
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artificial intelligence ai potential transform preoperative planning breast reconstruction enhancing efficiency accuracy reliability radiology reporting automatic interpretation perforator identification large language models llms recently advanced significantly medicine study aimed evaluate proficiency contemporary llms interpreting computed tomography angiography cta scans deep inferior epigastric perforator diep flap preoperative planning four prominent llms chatgpt4 bard perplexity bingai answered six questions cta scan reporting panel expert plastic surgeons extensive experience breast reconstruction assessed responses using likert scale contrast responses readability evaluated using flesch reading ease score fleschkincaid grade level colemanliau index discern score utilized determine responses suitability statistical significance identified ttest pvalues 005 considered significant bingai provided accurate useful responses prompts followed perplexity chatgpt bard bingai greatest flesh reading ease 34755 discern 60539 scores perplexity higher fleschkincaid grade level 20527 colemanliau index 17816 scores llms llms exhibit limitations capabilities reporting cta preoperative planning breast reconstruction yet rapid advancements technology hint promising future ai stands poised enhance education cta reporting aid preoperative planning future ai technology could provide automatic cta interpretation enhancing efficiency accuracy reliability cta reports