Full
Outline
In view of the characteristics of context dependence and practical operation emphasized in the training of minimally invasive surgery talents, as well as the problem that the traditional teaching model is unable to meet the standardized and homogeneous training needs of various medical institutions, this study explores the supporting role of the information platform in the application demonstration of domestic innovative high-end minimally invasive surgical medical devices on the talent training system.
Relying on the national collaborative application demonstration comprehensive information platform, a video teaching module reflecting the core functions of the platform—the laparoscopic surgery video image big data platform and intelligent analysis and processing system was constructed. The former realizes the standardized collection, transcoding and management of surgical videos; the latter, based on deep learning algorithms, realizes functions such as image smoke removal enhancement, surgical scene behavior recognition, workflow sequence analysis, image long-text description generation and synthetic image generation with semantic information. Both are jointly embedded in the training content construction process.
As of October 2025, the platform has cumulatively collected and covered 1,045 clinical surgical videos of 13 surgical types; the supporting user center for trainees has gathered the learning archives of about 500 registered trainees from approximately 300 medical institutions across the country. During the demonstration period, the total learning time reached 2,924 hours, and the total number of video accesses reached 7,565 times; the intelligent analysis function has been applied to representative surgical procedures such as cholecystectomy and partial nephrectomy.
The standardized image data platform can provide information support for the training of minimally invasive surgery talents, and the intelligent analysis function has application value in assisting video observation learning, which can provide practical support for the training of minimally invasive surgery talents, but its efficacy still needs further verification.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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