Transforming abdominal reconstruction-impact of artificial intelligence algorithms and advanced technologies on the efficiency of vascularized flaps and postoperative functional restoration: a systematic review DOI

Luis Aleman Romero,

Claudia Hernandez,

Bryan Andrés Andrade Veloz

et al.

Salud Ciencia y Tecnología, Journal Year: 2024, Volume and Issue: 5, P. 1227 - 1227

Published: Dec. 14, 2024

Abdominal Reconstruction shows the progress created by artificial intelligence and machine learning AI & ML, especially those involving vascularized flaps. Therefore, this systematic review seeks to find out how incorporating can transform surgical accuracy, minimize post-surgical complications, as well improve recovery process. is already being used for planning surgery forecasting failure of flaps minimizing SSI. Machine models like neural networks demonstrate impressive accuracy in identifying high-risk patients such with obesity, chemotherapy exposure, or large fascial defects. Real-time data analytics, remote monitoring through ML have improved decision-making process led efficient surgeries better functional outcomes reducing post-operative complications. Integrating into complex environments requires carefully balancing recommendations human expertise yet ethical concerns surrounding transparency, bias, patient privacy these need critical consideration must be addressed. We conducted systematically evaluate existing studies, revealing that while promising outcomes, its real-world applications are still their infancy, we will has transformed abdominal reconstruction procedures, plastic surgeries, breast wall hernias, other oncological resections

Language: Английский

The role of Artificial Intelligence in Intraoral Scanning for Complete-Arch Digital Impressions: An In Vitro Study DOI Creative Commons
Ivett Róth, Zoltán Géczi, Dániel Végh

et al.

Journal of Dentistry, Journal Year: 2025, Volume and Issue: unknown, P. 105717 - 105717

Published: March 1, 2025

Artificial intelligence (AI) is increasingly being integrated into intraoral scanners (IOS) to improve the quality of digital impressions. However, information on accuracy AI-assisted virtual models limited. This study aimed evaluate effect AI, specifically its application in filling mesh defects, by evaluating impressions complete arches an vitro setting. Three types articulated maxillary and antagonist made from Type IV gypsum were used: intact model (Model 1), a with prepared teeth (FDI 13, 16) missing 14, 15) 2), 15, 17) 3). A total 120 scans obtained using IOS (3Shape Trios 5) 20 AI assistance (AI-ON) without (AI-OFF). The files compared reference generated desktop scanner E3) analyzed for reverse engineering metrology software (Geomagic Control X). While AI-OFF shows better trueness most relations, AI-ON improves precision demonstrates significant advantages accuracy, particularly arch distortion whole deviation measurements. that incorporating significantly scans, enhancing consistency reducing errors. Further studies are needed explore full potential across different clinical scenarios types. highlights role improving addressing contributing more precise workflows dentistry.

Language: Английский

Citations

0

Retreatment and aesthetic restoration of maxillary incisor with calcified root canal using a dynamic navigation system: a case report DOI Creative Commons
Peng Xue, Qiang Luo,

Yang Huang

et al.

BMC Oral Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Nov. 8, 2024

Pulp canal occlusion (PCO) increases the difficulty of root treatment as well tooth preservation and restoration. This is first case report successful localization a calcified under guidance dynamic navigation system (DNS) for complete retreatment aesthetic restoration after failed attempt to locate with traditional dental operating microscope (DOM). The patient was scheduled labially inclined maxillary central incisor post-core crown resin veneers in another hospital, but could not be located microscope, so referred our department. Root planned #8, #9 dredged DNS. We used DNS positioning operation following 4 steps: preoperative CBCT imaging, plan design, calibration registration, real-time navigation. Three months later, teeth #8 presented no clinical symptoms, which fiber post-cores zirconia all-ceramic restorations were completed. At 12-month follow-up visit, continued symptom­free, satisfied final suggests that may promising technique high accuracy effectiveness reduce risk iatrogenic errors provide maximal dentin, when canals approaches failure (lateral perforation).

Language: Английский

Citations

0

Potential applicability of virtual reality in implant dentistry: a narrative review DOI Creative Commons
Mansour Alasiri

Frontiers in Dental Medicine, Journal Year: 2024, Volume and Issue: 5

Published: Nov. 14, 2024

Dental implants have a high success rate but face challenges such as improper positioning, implant fracture, and tissue damage, often due to the lack of surgical proficiency. Virtual reality (VR) technology has emerged transformative solution in dentistry, offering three-dimensional (3D), immersive environment for both educational clinical applications. Initially used teaching aid, VR now facilitates comprehensive preoperative planning precise placement, minimizing procedural errors. systems enhance student novice surgeon training by providing risk-free platform skill development. Clinically, aids accurate positioning through computer-guided stents simulation fields, improving patient outcomes reducing complications. Furthermore, enhances education communication, visual representations treatment plans, thereby increasing satisfaction understanding. Despite its benefits, integration faces challenges, including costs, steep learning curves experienced surgeons, potential disruption patient-clinician interactions. Developing affordable, compact integrating early dental curricula will facilitate widespread adoption revolutionize dentistry care. The review covers historical development current progress with an overview applications benefits future perspectives.

Language: Английский

Citations

0

Transforming abdominal reconstruction-impact of artificial intelligence algorithms and advanced technologies on the efficiency of vascularized flaps and postoperative functional restoration: a systematic review DOI

Luis Aleman Romero,

Claudia Hernandez,

Bryan Andrés Andrade Veloz

et al.

Salud Ciencia y Tecnología, Journal Year: 2024, Volume and Issue: 5, P. 1227 - 1227

Published: Dec. 14, 2024

Abdominal Reconstruction shows the progress created by artificial intelligence and machine learning AI & ML, especially those involving vascularized flaps. Therefore, this systematic review seeks to find out how incorporating can transform surgical accuracy, minimize post-surgical complications, as well improve recovery process. is already being used for planning surgery forecasting failure of flaps minimizing SSI. Machine models like neural networks demonstrate impressive accuracy in identifying high-risk patients such with obesity, chemotherapy exposure, or large fascial defects. Real-time data analytics, remote monitoring through ML have improved decision-making process led efficient surgeries better functional outcomes reducing post-operative complications. Integrating into complex environments requires carefully balancing recommendations human expertise yet ethical concerns surrounding transparency, bias, patient privacy these need critical consideration must be addressed. We conducted systematically evaluate existing studies, revealing that while promising outcomes, its real-world applications are still their infancy, we will has transformed abdominal reconstruction procedures, plastic surgeries, breast wall hernias, other oncological resections

Language: Английский

Citations

0