背景:由于AI算法可以分析患者数据,医疗记录,和成像结果来建议治疗计划和预测结果,它们有可能支持病理学家和临床医生诊断和治疗口腔颌面部病变,就像它被使用的其他生活领域一样。当前研究的目标是检查AI可能参与帮助从业者的口腔颌面病理学领域正在研究的所有趋势。
方法:我们首先定义了调查主题中的重要术语。在此之后,像PubMed这样的相关数据库,Scopus,使用每个概念的关键词和同义词搜索WebofScience,比如“机器学习”,\"\"诊断,“\”治疗计划,\"\"图像分析,预测建模,\"和\"病人监测。\"对于更多的论文和来源,谷歌学者也被使用。
结果:选择的9项研究中的大多数是关于如何利用AI诊断口腔恶性肿瘤。AI在创建预测模型方面特别有用,该模型可帮助病理学家和临床医生预测特定患者的口腔和颌面部病理学的发展。此外,预测模型准确地识别出患有口腔癌的高风险患者以及治疗后疾病复发的可能性.
结论:在口腔颌面病理学领域,人工智能有可能提高诊断精度,个性化护理,并最终改善患者的预后。人工智能在医疗保健领域的发展和应用,然而,需要仔细考虑道德,legal,和监管挑战。此外,因为人工智能仍然是一种相对较新的技术,将其应用于该行业时必须谨慎。
BACKGROUND: Since AI algorithms can analyze patient data, medical records, and imaging results to suggest treatment plans and predict outcomes, they have the potential to support pathologists and clinicians in the diagnosis and treatment of oral and maxillofacial pathologies, just like every other area of life in which it is being used. The goal of the current study was to examine all of the trends being investigated in the area of oral and maxillofacial pathology where AI has been possibly involved in helping practitioners.
METHODS: We started by defining the important terms in our investigation\'s subject matter. Following that, relevant databases like PubMed, Scopus, and Web of Science were searched using keywords and synonyms for each concept, such as \"machine learning,\" \"diagnosis,\" \"treatment planning,\" \"image analysis,\" \"predictive modelling,\" and \"patient monitoring.\" For more papers and sources, Google Scholar was also used.
RESULTS: The majority of the 9 studies that were chosen were on how AI can be utilized to diagnose malignant tumors of the oral cavity. AI was especially helpful in creating prediction models that aided pathologists and clinicians in foreseeing the development of oral and maxillofacial pathology in specific patients. Additionally, predictive models accurately identified patients who have a high risk of developing oral cancer as well as the likelihood of the disease returning after treatment.
CONCLUSIONS: In the field of oral and maxillofacial pathology, AI has the potential to enhance diagnostic precision, personalize care, and ultimately improve patient outcomes. The development and application of AI in healthcare, however, necessitates careful consideration of ethical, legal, and regulatory challenges. Additionally, because AI is still a relatively new technology, caution must be taken when applying it to this industry.