International Journal of Pediatric Otorhinolaryngology, Journal Year: 2024, Volume and Issue: 187, P. 112175 - 112175
Published: Nov. 22, 2024
Language: Английский
Journal of Robotic Surgery, Journal Year: 2025, Volume and Issue: 19(1)
Published: March 13, 2025
Language: Английский
Citations
0
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(8), P. 2698 - 2698
Published: April 15, 2025
Background/Objectives: This study comprehensively examines how artificial intelligence (AI) technologies are transforming clinical practice in plastic and reconstructive surgery across the entire patient care continuum, with specific objective of identifying evidence-based applications, implementation challenges, emerging opportunities that will shape future specialty. Methods: A comprehensive narrative review was conducted analyzing integration AI surgery, including preoperative planning, intraoperative postoperative monitoring, quality improvement. Challenges related to implementation, ethics, regulatory frameworks were also examined, along technological trends practice. Results: applications demonstrate significant potential multiple domains. In enhances risk assessment, outcome prediction, surgical simulation. Intraoperatively, AI-assisted robotics enables increased precision technical capabilities beyond human limitations, particularly microsurgery. Postoperatively, improves complication detection, pain management, outcomes assessment. Despite these benefits, faces challenges data privacy concerns, algorithmic bias, liability questions, need for appropriate frameworks. Future directions include multimodal systems, federated learning approaches, extended reality regenerative medicine technologies. Conclusions: The into represents a opportunity enhance precision, improve expand boundaries what is surgically possible. However, successful requires addressing ethical considerations maintaining elements care. Plastic surgeons must actively engage development ensure address genuine needs while aligning specialty’s core values restoring form function, alleviating suffering, enhancing life.
Language: Английский
Citations
0
Journal of Biomedical Optics, Journal Year: 2024, Volume and Issue: 30(02)
Published: Nov. 13, 2024
SignificanceAccurate identification between pathologic (e.g., tumors) and healthy brain tissue is a critical need in neurosurgery. However, conventional surgical adjuncts have significant limitations toward achieving this goal image guidance based on pre-operative imaging becomes inaccurate up to 3 cm as surgery proceeds). Hyperspectral (HSI) has emerged potential powerful adjunct enable surgeons accurately distinguish from normal tissues.AimWe review HSI techniques neurosurgery; categorize, explain, summarize their technical clinical details; present some promising directions for future work.ApproachWe performed literature search methods neurosurgery focusing hardware implementation classification, estimation, band selection methods; publicly available labeled unlabeled data; processing augmented reality visualization systems; study conclusions.ResultsWe detailed of results with discussion over 25 systems, 45 studies, 60 computational methods. We first provide short overview the main branches Then, we describe detail methods, using reflectance or fluorescence. Clinical implementations yield estimating perfusion mapping function, classifying tumors tissues fluorescence-guided tumor surgery, detecting infiltrating margins not visible systems), epileptogenic regions. Finally, discuss advantages disadvantages approaches interesting research means encourage development.ConclusionsWe number applications across every major branch believe these demonstrate neurosurgical more work continues rapid acquisition smaller footprints, greater spectral spatial resolutions, improved detection.
Language: Английский
Citations
3
Journal of Imaging, Journal Year: 2024, Volume and Issue: 10(8), P. 180 - 180
Published: July 24, 2024
Image-based 3D reconstruction enables laparoscopic applications as image-guided navigation and (autonomous) robot-assisted interventions, which require a high accuracy. The review’s purpose is to present the accuracy of different techniques label most promising. A systematic literature search with PubMed google scholar from 2015 2023 was applied by following framework “Review articles: purpose, process, structure”. Articles were considered when presenting quantitative evaluation (root mean squared error absolute error) (Euclidean distance between real reconstructed surface). provides 995 articles, reduced 48 articles after applying exclusion criteria. From these, data set could be generated for stereo vision, Shape-from-Motion, Simultaneous Localization Mapping, deep-learning, structured light. varies below one millimeter higher than ten millimeters—with deep-learning Mapping delivering best results under intraoperative conditions. variance emerges experimental In conclusion, submillimeter challenging, but promising image-based identified. For future research, we recommend computing comparison purposes use ex/in vivo organs reference objects realistic experiments.
Language: Английский
Citations
2
SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Language: Английский
Citations
0
Human Cell, Journal Year: 2024, Volume and Issue: 37(5), P. 1355 - 1377
Published: July 31, 2024
Language: Английский
Citations
0
Medicina, Journal Year: 2024, Volume and Issue: 60(8), P. 1340 - 1340
Published: Aug. 18, 2024
Patients with advanced head and neck tumors require salvage surgery as a last resort. These extensive surgeries pose the challenge of complex reconstructions. The surgeon undertaking such cases needs to master different flaps. team managing these patients input from various specialists, along otorhinolaryngologists, plastic surgeons, maxillofacial vascular experienced radiologists, dedicated pathologists, oncologists radiation therapists. We focus on optimum solution between oncologic resections future quality life overall survival. Each case requires personalized medicine approach. This scoping review aims assess efficacy outcomes reconstructions using flaps for tumors, free emerging techniques.
Language: Английский
Citations
0
Published: Jan. 1, 2024
Language: Английский
Citations
0
Algorithms, Journal Year: 2024, Volume and Issue: 17(11), P. 515 - 515
Published: Nov. 7, 2024
Echocardiography is a widely used, non-invasive imaging technique for diagnosing and monitoring heart conditions. However, accurate segmentation of cardiac structures, particularly the left ventricle, remains complex task due to inherent variability noise in echocardiographic images. Current supervised models have achieved state-of-the-art results but are highly dependent on large, annotated datasets, which costly time-consuming obtain depend quality data. These limitations motivate need unsupervised methods that can generalize across different image conditions without relying In this study, we propose an approach segmenting 2D By combining customized objective functions with convolutional neural networks (CNNs), our method effectively segments addressing challenges posed by low-resolution gray-scale Our leverages techniques traditionally used outside medical imaging, optimizing feature extraction through CNNs data-driven manner new smaller network design. Another key contribution work introduction post-processing algorithm refines isolate ventricle both diastolic systolic positions, enabling calculation ejection fraction (EF). This serves as benchmark evaluating performance method. demonstrate potential learning improve echocardiogram analysis overcoming approaches, settings where labeled data scarce or unavailable.
Language: Английский
Citations
0
International Journal of Pediatric Otorhinolaryngology, Journal Year: 2024, Volume and Issue: 187, P. 112175 - 112175
Published: Nov. 22, 2024
Language: Английский
Citations
0