Lung Nodule Surveillance for Oncology Follow-up
How HaiLTH Delivered Consistent Monitoring for Lung Cancer Survivors
Client Overview
An advanced oncology center managing hundreds of lung cancer survivors required precise tracking of small pulmonary nodules. Manual reads were inconsistent and time-intensive, risking late intervention in recurrence cases.
Objective
Detect and quantify sub-millimetre nodules accurately.
Eliminate inter-reader variability in follow-up.
Streamline longitudinal surveillance across multiple visits.
Solution: HaiLTH’s CT Nodule Quantification AI
HaiLTH’s AI algorithm analyzed lung CT scans, automatically segmenting and measuring nodules down to 0.5mm. Each scan was compared against previous reads to highlight growth or changes in volume.
Results
Superhuman Precision
Detected nodules as small as 0.5 mm.
Consistency Boost
60% improvement in longitudinal read alignment.
Faster Monitoring
Automated reports reduced radiologist review time.
Better Outcomes
Enabled early flagging of aggressive recurrence.
Conclusion
HaiLTH empowered the oncology team with a trusted second set of eyes. By bringing AI consistency to a human-variable process, it ensured high-fidelity monitoring and more timely interventions.