Inhaltsangabe
Artificial intelligence (AI) is revolutionizing various aspects of healthcare, including dentistry, with significant advancements in the field of endodontics. AI refers to the ability of machines to mimic human intelligence and perform tasks such as diagnosis, prediction, and decision-making. In endodontics, AI has shown great promise in enhancing diagnostic precision, improving treatment planning, and predicting treatment outcomes. Subsets of AI like machine learning (ML) and deep learning (DL), especially convolutional neural networks (CNNs), are widely used to interpret complex dental imaging data such as periapical radiographs and cone-beam computed tomography (CBCT) scans. In endodontics, AI is useful in detecting periapical lesions, identifying root fractures, analysing root canal morphology, and recognizing anatomical variations like additional roots or canals. AI also supports clinicians in determining accurate working length during root canal treatment, predicting the success of retreatment procedures, and assessing the viability of dental pulp stem cells.
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Über die Autorin bzw. den Autor
Dr. Shrushti Dhoot, PG student (Cons & Endo) expresses interest in Artificial intelligence as a transformative tool in dental practice.Dr. Sandhya Kapoor Punia, Professor &HOD, Darshan Dental College and Hospital, stands as beacon of excellence in Conservative Dentistry and Endodontics, with an illustrious career marked by expertise and devotion.
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Paperback. Zustand: new. Paperback. Artificial intelligence (AI) is revolutionizing various aspects of healthcare, including dentistry, with significant advancements in the field of endodontics. AI refers to the ability of machines to mimic human intelligence and perform tasks such as diagnosis, prediction, and decision-making. In endodontics, AI has shown great promise in enhancing diagnostic precision, improving treatment planning, and predicting treatment outcomes. Subsets of AI like machine learning (ML) and deep learning (DL), especially convolutional neural networks (CNNs), are widely used to interpret complex dental imaging data such as periapical radiographs and cone-beam computed tomography (CBCT) scans. In endodontics, AI is useful in detecting periapical lesions, identifying root fractures, analysing root canal morphology, and recognizing anatomical variations like additional roots or canals. AI also supports clinicians in determining accurate working length during root canal treatment, predicting the success of retreatment procedures, and assessing the viability of dental pulp stem cells. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786208452902
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ARTIFICIAL INTELLIGENCE IN ENDODONTICS
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial intelligence (AI) is revolutionizing various aspects of healthcare, including dentistry, with significant advancements in the field of endodontics. AI refers to the ability of machines to mimic human intelligence and perform tasks such as diagnosis, prediction, and decision-making. In endodontics, AI has shown great promise in enhancing diagnostic precision, improving treatment planning, and predicting treatment outcomes. Subsets of AI like machine learning (ML) and deep learning (DL), especially convolutional neural networks (CNNs), are widely used to interpret complex dental imaging data such as periapical radiographs and cone-beam computed tomography (CBCT) scans. In endodontics, AI is useful in detecting periapical lesions, identifying root fractures, analysing root canal morphology, and recognizing anatomical variations like additional roots or canals. AI also supports clinicians in determining accurate working length during root canal treatment, predicting the success of retreatment procedures, and assessing the viability of dental pulp stem cells. 116 pp. Englisch. Bestandsnummer des Verkäufers 9786208452902
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Paperback. Zustand: new. Paperback. Artificial intelligence (AI) is revolutionizing various aspects of healthcare, including dentistry, with significant advancements in the field of endodontics. AI refers to the ability of machines to mimic human intelligence and perform tasks such as diagnosis, prediction, and decision-making. In endodontics, AI has shown great promise in enhancing diagnostic precision, improving treatment planning, and predicting treatment outcomes. Subsets of AI like machine learning (ML) and deep learning (DL), especially convolutional neural networks (CNNs), are widely used to interpret complex dental imaging data such as periapical radiographs and cone-beam computed tomography (CBCT) scans. In endodontics, AI is useful in detecting periapical lesions, identifying root fractures, analysing root canal morphology, and recognizing anatomical variations like additional roots or canals. AI also supports clinicians in determining accurate working length during root canal treatment, predicting the success of retreatment procedures, and assessing the viability of dental pulp stem cells. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786208452902
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Paperback. Zustand: new. Paperback. Artificial intelligence (AI) is revolutionizing various aspects of healthcare, including dentistry, with significant advancements in the field of endodontics. AI refers to the ability of machines to mimic human intelligence and perform tasks such as diagnosis, prediction, and decision-making. In endodontics, AI has shown great promise in enhancing diagnostic precision, improving treatment planning, and predicting treatment outcomes. Subsets of AI like machine learning (ML) and deep learning (DL), especially convolutional neural networks (CNNs), are widely used to interpret complex dental imaging data such as periapical radiographs and cone-beam computed tomography (CBCT) scans. In endodontics, AI is useful in detecting periapical lesions, identifying root fractures, analysing root canal morphology, and recognizing anatomical variations like additional roots or canals. AI also supports clinicians in determining accurate working length during root canal treatment, predicting the success of retreatment procedures, and assessing the viability of dental pulp stem cells. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786208452902
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