人工智能在牙髓病学中的影响:精准、预测和前景。

IF 1.3 Q4 ENGINEERING, BIOMEDICAL Journal of Medical Signals & Sensors Pub Date : 2024-09-02 eCollection Date: 2024-01-01 DOI:10.4103/jmss.jmss_7_24
M S Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S Gowda, Sahana Patil
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引用次数: 0

摘要

人工智能(AI)在包括牙科领域在内的许多行业都变得越来越普遍和重要。人工智能在检测、评估和预测疾病方面表现出了准确性和精确性。它可以模仿人类智能,在医疗保健行业,尤其是牙髓病学领域进行复杂的预测和决策。人工智能模型已在牙髓病学领域得到广泛应用。其中包括检查根管系统的解剖结构、预测牙髓干细胞的存活率、测量工作长度、识别根尖周病变和根折,以及预测再治疗的结果。会议还讨论了该技术在机器人根管手术、药物相互作用、病人护理、日程安排和预后诊断等方面的未来用途。
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Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects.

Artificial intelligence (AI) has become increasingly prevalent and significant across many industries, including the dental field. AI has shown accuracy and precision in detecting, evaluating, and predicting diseases. It can imitate human intelligence to carry out sophisticated predictions and decision-making in the health-care industry, especially in endodontics. AI models have demonstrated a wide range of applications in the field of endodontics. These include examining the anatomy of the root canal system, predicting the survival of dental pulp stem cells, gauging working lengths, identifying per apical lesions and root fractures, and predicting the outcome of retreatment treatments. Future uses of this technology were discussed in terms of robotic endodontic surgery, drug-drug interactions, patient care, scheduling, and prognostic diagnosis.

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来源期刊
Journal of Medical Signals & Sensors
Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-
CiteScore
2.30
自引率
0.00%
发文量
53
审稿时长
33 weeks
期刊介绍: JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.
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