摘要
由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx记者来自牙科医学院的消息，研究表明，"由于人工智能(AI)的整合，医疗和牙科领域的方法发生了重大转变。"新闻记者从牙科医学学院的研究中获得了一句话：“随着大量患者数据的涌入，目前迫切需要能够有效地组织和保存这些信息的智能软件，AI驱动的模型和计算机视觉技术的出现，为提高口腔病变的诊断准确性和预后预测提供了希望，而显微形态学仍然是诊断病理的金标准。人工智能对病理学家个体的依赖带来了变异。因此，人工智能为实现一致和更精确的诊断提供了一个潜在的解决方案。此外，通过分析患者病历中的大量数据，人工神经网络可以提供一个假定的诊断和一个可靠的筛选工具，根据患者的风险因素信息预测口腔病理学个体风险。系统性疾病和条件以及临床病理数据。在口腔和颌面病理学中，人工智能旨在提高诊断准确性，定制治疗，并最终提高患者的预后。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from the Faculty of Dental Medic ine by NewsRx correspondents, research stated, “The medical and dental fields ar e experiencing a significant shift in approach thanks to the integration of arti ficial intelligence (AI).” The news journalists obtained a quote from the research from Faculty of Dental M edicine: “With a vast influx of patient data, there is a pressing need for sophi sticated software capable of organizing and preserving this information effectiv ely. The emergence of AI-driven models and computer vision techniques for identi fying patterns in clinical and histopathological images related to oral patholog y lesions holds promise for enhancing diagnostic accuracy and prognostic predict ions. While microscopic morphology remains the gold standard in diagnostic patho logy, its reliance on individual pathologists introduces variability. Consequent ly, AI presents a potential solution for achieving consistent and more precise d iagnoses. Moreover, by analyzing extensive data from the patients’ medical chart the artificial neural network could provide a presumptive diagnosis and an inva luable screening tool in predicting individual risk for oral pathology based on information regarding their risk factors, systemic diseases and conditions and c linical pathological data. Within oral and maxillofacial pathology, AI stands po ised to elevate diagnostic accuracy, tailor treatment, and ultimately enhance pa tient outcomes.”
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