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While contemporary image-guided lung puncture has attained mature clinical application, ongoing medical innovation keeps pushing technical boundaries. Next-generation pulmonary puncture is advancing toward intelligence, automation and multifunctional integration centered on deep fusion between biopsy needles, surgical robotics, artificial intelligence (AI) and biosensing modules, eventually establishing an innovative theranostic paradigm marked by ultra-precision, enhanced safety and full digital informatization.

1. Robot-Assisted Puncture: From Manual Hand–Eye Coordination to Millimeter-Level Robotic Manipulation

Manual puncture is inherently susceptible to positional deviation triggered by physiological hand tremor and spontaneous respiratory organ displacement. Robotic puncture platforms deliver disruptive improvements: clinicians formulate optimal access trajectories and target coordinates via preoperative three-dimensional imaging at the master console, and robotic manipulators perform steady needle advancement by eliminating human hand shivering while dynamically compensating target drift induced by respiratory excursion. Future biopsy needles will evolve into dedicated robotic end-effectors embedded with miniature force sensors that capture varying tissue resistance across pulmonary parenchyma, vascular walls and tumor capsules to prevent forced over-penetration and enable gentle manipulation via real-time haptic feedback.

2. AI Empowerment: Automated Lesion Recognition and Full-Cycle Clinical Decision Support

AI functions as an intelligent auxiliary throughout the whole puncture workflow spanning preoperation, intraoperative navigation and postoperative assessment:

• Preoperative planning: AI algorithms automatically segment key anatomical structures including nodules, blood vessels, bronchi and ribs on CT scans, generating multiple optimized puncture routes within seconds with quantified risk scoring based on penetration depth, anatomical hazards and insertion angles for clinician reference.
• Intraoperative real-time navigation: Combined with intraoperative cone-beam CT, AI enables automatic spatial registration and continuous tracking between target lesions and needle tips, dynamically highlighting spatial separation from hazardous vasculature; automatic early-warning alerts are triggered once the cannula deviates from preplanned trajectory.
• Post-procedure specimen evaluation: Instant AI-assisted gross examination of harvested tissue cores verifies specimen adequacy and tumor cellular content, with auxiliary rapid frozen-slice pathological interpretation lowering repeat-biopsy incidence caused by insufficient sampling.

3. Smart Biopsy Needles: Evolving from Sampling Instruments to In-Situ Analytical Platforms

This pioneering development endows conventional puncture needles with real-time analytical capability. Miniature biosensors embedded at needle tips or lateral walls instantly detect in-situ biochemical biomarkers including local tissue pH, hypoxic status and specific oncoprotein concentrations upon reaching target lesions to realize instant diagnosis concurrent with puncture. Furthermore, optical biopsy needles equipped with Raman spectroscopy or optical coherence tomography (OCT) execute in-vivo spectral characterization without tissue extraction to differentiate inflammatory lesions, benign nodules and malignant tumors, accomplishing label-free non-invasive instant pathology assessment.

4. Ultimate Integrated Theranostic Implementation

Integrating all aforementioned technologies creates streamlined one-stop intervention: robotic arms carry sensor-equipped intelligent needles to pulmonary nodules along AI-calculated safest pathways; built-in biosensors validate target localization and tissue properties; the identical cannula or auxiliary probes delivered via coaxial sheath immediately implement localized thermal ablation (radiofrequency, microwave or cryoablation) or targeted intralesional drug infusion for confirmed malignant lesions, completing diagnostic biopsy and radical minimally invasive treatment in a single puncture session.

In conclusion, future lung puncture will break away from experience-dependent manual operation and develop into a closed-loop intelligent system driven by multimodal imaging datasets, AI decision-making algorithms, stable robotic execution and real-time in-vivo feedback from smart sensing needles. Such technological leap reshapes the landscape of early screening and minimally invasive management of pulmonary diseases especially lung cancer, lifting the standard of precision and minimal invasiveness to unprecedented levels.