Shila Kahalian, Marieh Rajabzadeh, Melisa Öçbe, Mahmut Sabri Medisoglu
{"title":"ChatGPT-4.0在口腔颌面放射学:从放射图像预测解剖和病理状况。","authors":"Shila Kahalian, Marieh Rajabzadeh, Melisa Öçbe, Mahmut Sabri Medisoglu","doi":"10.3897/folmed.66.e135584","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>ChatGPT has the ability to generate human-like text, analyze and understand medical images using natural Language processing (NLP) algorithms. It can generate real-time diagnosis and recognize patterns and learn from previous cases to improve accuracy by combining patient history, symptoms, and image characteristics. It has been used recently for learning about maxillofacial diseases, writing and translating radiology reports, and identifying anatomical landmarks, among other things.</p>","PeriodicalId":12415,"journal":{"name":"Folia medica","volume":"66 6","pages":"863-868"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ChatGPT-4.0 in oral and maxillofacial radiology: prediction of anatomical and pathological conditions from radiographic images.\",\"authors\":\"Shila Kahalian, Marieh Rajabzadeh, Melisa Öçbe, Mahmut Sabri Medisoglu\",\"doi\":\"10.3897/folmed.66.e135584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>ChatGPT has the ability to generate human-like text, analyze and understand medical images using natural Language processing (NLP) algorithms. It can generate real-time diagnosis and recognize patterns and learn from previous cases to improve accuracy by combining patient history, symptoms, and image characteristics. It has been used recently for learning about maxillofacial diseases, writing and translating radiology reports, and identifying anatomical landmarks, among other things.</p>\",\"PeriodicalId\":12415,\"journal\":{\"name\":\"Folia medica\",\"volume\":\"66 6\",\"pages\":\"863-868\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Folia medica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3897/folmed.66.e135584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Dentistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Folia medica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/folmed.66.e135584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Dentistry","Score":null,"Total":0}
ChatGPT-4.0 in oral and maxillofacial radiology: prediction of anatomical and pathological conditions from radiographic images.
Introduction: ChatGPT has the ability to generate human-like text, analyze and understand medical images using natural Language processing (NLP) algorithms. It can generate real-time diagnosis and recognize patterns and learn from previous cases to improve accuracy by combining patient history, symptoms, and image characteristics. It has been used recently for learning about maxillofacial diseases, writing and translating radiology reports, and identifying anatomical landmarks, among other things.