ReviewFrontiers in surgery2026
Emerging technologies in thoracic surgery: artificial intelligence, robotic-assisted surgery, and telesurgery.
Review in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Emerging technologies are increasingly reshaping thoracic surgery across the continuum of care, from imaging-based diagnosis and risk stratification to operative planning, minimally invasive intervention, postoperative monitoring, and remote surgical delivery. Artificial intelligence, robotic-assisted thoracic surgery, and telesurgery represent three major domains with the potential to improve precision, personalization, and access to specialized thoracic care. Objective: This review aims to synthesize current evidence on the applications, clinical value, limitations, and future directions of artificial intelligence, robotic-assisted surgery, and telesurgery in thoracic surgical practice. Methods: A narrative review of recent literature was conducted, focusing on studies and reviews addressing artificial intelligence-enabled thoracic imaging, pulmonary nodule assessment, radiomics, three-dimensional reconstruction, intraoperative navigation, perioperative risk prediction, robotic thoracic procedures, and 5G-enabled telesurgical systems. Findings: Artificial intelligence has demonstrated increasing utility in pulmonary nodule detection, malignancy risk estimation, automated segmentation, surgical planning, augmented intraoperative visualization, and prediction of postoperative complications. Robotic-assisted thoracic surgery has expanded the scope of minimally invasive thoracic surgery by providing enhanced three-dimensional visualization, articulated instrumentation, improved dexterity, and favorable perioperative outcomes across lung, mediastinal, and esophageal procedures. Telesurgery, particularly when supported by ultra-low-latency 5G connectivity, has shown early feasibility in extending expert surgical care across long distances and enabling remote collaboration. Conclusion: Artificial intelligence, robotic-assisted surgery, and telesurgery are redefining thoracic surgery toward a more precise, data-driven, minimally invasive, and globally connected discipline. Responsible integration will be essential to ensure that technological innovation translates into safer procedures, improved outcomes, and equitable access to advanced thoracic surgical care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.