Laparoscopic Sleeve Gastrectomy for Morbid Obesity Dataset

Dataset Description    

Laparoscopic Sleeve Gastrectomy Dataset was developed on the basis of long-lasting partnerships with global medical entities, and data optimization by the experts in the field. All Medical Data Cloud data have been de-identified in accordance with regulatory standards.  

 

Annotation and Customization 

Medical Data Cloud has an extensive expertise in medical data annotation and can accurately, quickly and cost-effectively annotate this and other datasets to the customer’s requirements for Deep Learning Artificial Intelligence projects. 

 

Delivery    

Method: Typically via secure server and flexible 

Frequency: as needed by the customer and depending on the desired volume availability  

   

Format 

mp4 H265 Codec 

 

About the provider   

Medical Data Cloud is developing and commercializing high quality, custom Medical, Radiological and Surgical datasets, including video and imaging datasets, for ML/AI projects in Medtech and Healthcare. The company has the technological infrastructure and expertise to efficiently collect, verify and index medical data from various data sources and formats. The company’s experts in data science, artificial intelligence and medical domains specialize in creating high quality, custom datasets to the customer specifications. Medical Data Cloud has one the largest independent medical imaging databases and data networks globally with access to radiological tests (CT, MRI, PET/CT scan, Ultrasound, other), pathology and cytology tests, as well as laparoscopic, endoscopic and other procedural videos. Further, the company has extensive expertise in highly accurate, fast and cost-effective annotation of complex medical images, video, and other medical data for AI projects. Medical Data Cloud has a first-class quality control system and works with certified medical, radiological and surgical experts to deliver the required results. This allows Medical Data Cloud to provide for its customers one stop solution for all their dataset needs. The company serves large and medium enterprises, and medical technology start-ups.

To perform manipulations, it is necessary to provide access to all areas of the operation (esophageal-gastric junction, cardiac and antral sections of the stomach). At the initial stage, the gastrophrenic ligament is dissected to the left of the esophagus with an ultrasonic scalpel. To do this, you must first remove the edge of the liver and pull the fundus of the stomach with a clamp. After gaining access to the omental bag, mobilization of the stomach begins along big curvature. For this can be used a vessel sealing device or ultrasonic scalpel.

The greatest difficulty is the mobilization of the fundus of the stomach in the area of ​​the spleen. The short gastric vessels should be neatly divided near the gastric wall with the least tension between the stomach and spleen. The gastrosplenic ligament is transected. Mobilization is considered complete when the fundus of the stomach is completely released. At this stage, it is important to make sure that there is no expansion of the diaphragmatic opening and hiatal hernia.

After full mobilization of the stomach, we advance the gastric tube 34 Fr (11 mm) into gatekeeper. Resection is performed with a linear stapler with bendable head, which allows for the best tension of the stomach on calibration probe and a uniform diameter of the remaining gastric tube. The formed thin tube of the stomach stump has a volume of 100-120 ml.

Operations may have some features depending on the equipment used by surgeons, as well as the methods of surgical intervention.

Age group: 18 and older
Gender: All inclusive
Data type: Video
Format: mp4 H265 Codec
Organ: Stomach, esophagus
About

Medical Data Cloud is a leading Medical Data Marketplace for AI projects, which provides large, medium and small enterprises with an unparalleled access to extensive amount and variety of Medical Data.

Our customers In Radiology, Cardiology, Robotic Surgery, Telemedicine, and other healthcare areas need and use large amount of quality imaging and other medical data, which we deliver.

Medical Data Cloud actively invests in the on-going data security and privacy. The company works with the best on the market cybersecurity firms and data protection tools.

We understand that success of our customer’s ML/AI projects depends on the availability of right datasets. We, therefore, work tirelessly to deliver the right datasets for your ML/AI needs on time and budget to become your reliable data partner.

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