The Next Frontier for Autonomous Surgery: Lung Cancer
Autonomous surgical robots have spent their short history operating below the neck.
The STAR system sutured bowel tissue in 2022.
The SRT-H system removed a gallbladder in 2025.
Neither system has touched the chest.
A commentary published in the International Journal of Surgery in 2026 argues that gap is about to close.
Researchers from Peking Union Medical College Hospital, Renmin University's AI school, and Stanford's cardiothoracic surgery department make the case that lung surgery is a stronger candidate for autonomy than general surgery has been.
Autonomy Has Avoided the Chest Until Now
Two systems already operate with reduced human input in hard-tissue procedures near the chest.
CyberKnife performs autonomous radiosurgery on tumors in the brain and spine.
TSolution One drills bone autonomously during hip and knee replacement.
Both sit at Levels 3 to 4 on the Surgical Autonomy Ladder, but both work on tissue that does not move or bleed the way lungs do.
Soft-tissue autonomy only reached that threshold with SRT-H in 2025.
Why Lung Surgery Fits the Pattern
Lung cancer accounted for roughly 2.5 million new cases worldwide in 2022, ranking first among all cancers.
That figure comes from the Global Cancer Burden Report the World Health Organization's cancer agency released in December 2024.
Two Japanese trials, JCOG0802 and JCOG0804, found that small subsolid nodules can often be treated with sublobar resection instead of removing an entire lobe.
Sublobar resection depends on precisely locating the nodule and controlling the surgical margin around it.
Both of those tasks are exactly what image-guided software is built to do well.
The authors argue this gives autonomous systems a natural opening in pulmonary surgery that general surgery never offered as clearly.
The Anatomy Working Against It
The chest cavity holds the heart, the aorta, the venae cavae, and the phrenic nerves within a few centimeters of the surgical field.
A software error near any of those structures is not a recoverable mistake.
The commentary is explicit that accurate real-time recognition of anatomy is the paramount software requirement before autonomy can move into this space.
Augmented reality and virtual bronchoscopy tools already exist to help surgeons localize nodules, but folding that capability into an autonomous system is a different engineering problem entirely.
What Autonomy Would Actually Solve
The authors frame the payoff in economic and quality terms, not just technical ones.
Even partial automation of lung cancer surgery would reduce clinical workload as case volumes keep rising.
It could also narrow the variation in outcomes that comes from differences in individual surgeons' skill, fatigue, or judgment on a given day.
That framing matters because it is the same argument now being made across every soft-tissue specialty edging toward autonomy: consistency, not speed, is the sell.
Source: International Journal of Surgery
