PRODUCT USE
FuDali™ uses AI to assist physicians in automatically labeling and
analyzing minimally invasive surgical imaging.
By integrating salient visual cues from different organs and tissues into meaningful information, FuDali™ helps physicians rapidly identify and annotate key structures, accelerating the preparation of whole-body surgical execution, and supporting the development of image-guided clinical decision-making for surgical applications.
PRODUCT PERFORMANCE
PRODUCT PERFORMANCE
Artificial Intelligence Gynecological Surgery Auto-Contouring
Clinical Decision Support System
Leveraging our intelligent annotation platform, we adapted the ScribbleSup concept to endoscopic imaging to streamline and standardize the labeling process.
With integrated visual markers, the system can reliably distinguish and segment key anatomical structures, including:
01
Uterus
02
Ovary
03
Uterine Tube
04
Colon
05
Myoma
06
Ovarian Tumor
PRODUCT USE SCENARIOS
PRODUCT USE SCENARIOS
FuDali™
•Primarily supports gynecologic minimally invasive surgery by providing endoscopic image recognition and analysis services. Through endoscopic and optical imaging technologies, it assists gynecologic specialists in applying image-guided techniques during Da Vinci–assisted surgical procedures.
•Integrates with hospital PACS via medical imaging storage and communication protocols, enabling seamless access to endoscopic images and clinical records. This streamlines the workflow and accelerates the consolidation and collection of surgical data for body-mapping development.
•Provides gynecologic specialists with enhanced visualization tools, offering enriched diagnostic information, supporting multi-angle and multi-modal image presentation, and enabling automated organ/tumor annotation. This functionality helps physicians accurately distinguish anatomical structures and identify lesions during optical imaging workflows.
