{"id":106286,"date":"2026-10-28T11:14:36","date_gmt":"2026-10-28T10:14:36","guid":{"rendered":"https:\/\/xitaso.com\/?page_id=106286"},"modified":"2026-10-29T13:54:47","modified_gmt":"2026-10-29T12:54:47","slug":"ai-for-surgical-decisions","status":"publish","type":"page","link":"https:\/\/xitaso.com\/en\/projects\/ai-for-surgical-decisions\/","title":{"rendered":"AI for surgical decisions"},"content":{"rendered":"

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MDR-compliant surgery recommendations based on neural networks<\/div>\n

Reliable AI for better surgical decisions<\/h1>\n<\/div>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” css=”.vc_custom_1700000002222{background-color: #e8e0e0 !important;}” z_index=””][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/2″][vc_empty_space height=”60″][vc_column_text]<\/p>\n

The challenge<\/h2>\n

Personalised medical care offers enormous potential for better patient treatment. Our customer set out to use AI<\/strong> to provide reliable individual surgery recommendations<\/strong> that lead to better surgical outcomes and lower risks for patients. The challenge was to enable the use of neural networks for surgery recommendations in line with the high quality standards of the Medical Device Regulation (MDR)<\/strong>.[\/vc_column_text][vc_empty_space height=”30″][vc_column_text]<\/p>\n

Our customer<\/h2>\n

A leading manufacturer of medical devices<\/strong> with strong innovative capability and high standards for the quality of its own products.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_empty_space height=”30px”][vc_empty_space height=”30″ el_class=”not-on-mobile”][vc_column_text]<\/p>\n

How we helped<\/h2>\n

Together with the customer, XITASO developed and implemented a development and quality assurance process<\/strong> for the use of neural networks in surgery recommendations, enabling certification of the product under MDR<\/strong>. Multi-stage analysis and testing procedures were applied at both the data and model level.<\/p>\n

The training processes of the neural networks were optimised for deterministic prediction performance<\/strong> in order to achieve reliable results. By using a suitable training architecture together with a comprehensive continuous delivery pipeline<\/strong>, full traceability<\/strong> was ensured throughout the ongoing development of the system.<\/p>\n

On this basis, the documentation required for successful certification<\/strong> of the product could also be generated.<\/p>\n

[\/vc_column_text][vc_column_text][\/vc_column_text][vc_empty_space height=”50″][vc_column_text]<\/p>\n

Technologies<\/h2>\n

[\/vc_column_text][vc_empty_space height=”15″][vc_column_text]
\nPython<\/span> C#<\/span> Neural Networks<\/span> PyTorch<\/span> scipy<\/span> numpy<\/span> Azure Functions<\/span> Azure Blob Storage<\/span> Azure LogAnalytics<\/span> MongoDB<\/span> Terraform<\/span> SBOM<\/span>
\n[\/vc_column_text][vc_empty_space height=”40″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” el_class=”two-column-with-heading-on-top” z_index=””][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_empty_space height=”50″ el_class=”not-on-mobile”][vc_column_text]<\/p>\n

Other projects<\/h2>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”40″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”three-column-references”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/3″][vc_raw_html]JTNDYSUyMGhyZWYlM0QlMjIlMkZlbiUyRnByb2plY3RzJTJGcmVpbnN1cmFuY2UtZGlnaXRhbC1wbGF0Zm9ybSUyRiUyMiUzRQ==[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”96901″][vc_column_text]<\/p>\n

Customer project<\/div>\n

Digital platform for the reinsurance business<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html]JTNDYSUyMGhyZWYlM0QlMjIlMkZlbiUyRnByb2plY3RzJTJGc3dhLWN1c3RvbWVyLXBvcnRhbCUyRiUyMiUzRQ==[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”96488″][vc_column_text]<\/p>\n

swa<\/div>\n

Digital customer and sales platform for Stadtwerke Augsburg<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html]JTNDYSUyMGhyZWYlM0QlMjIlMkZlbiUyRnByb2plY3RzJTJGaWNjYXMlMkYlMjIlM0U=[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”78631″][vc_column_text]<\/p>\n

ICCAS<\/div>\n

Pioneering medical technology with the digital twin<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern”][vc_column][vc_empty_space height=”30″][vc_column_text]<\/p>\n

View all projects<\/a><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern”][vc_column][vc_empty_space height=”50″][vc_empty_space height=”50″ el_class=”not-on-mobile”][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” css=”.vc_custom_1700000003333{background-color: #e8e0e0 !important;}” z_index=”” el_class=”your-contact-person”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text]<\/p>\n

Interested in a project, a service, or have another question?<\/h2>\n

[\/vc_column_text][vc_single_image image=”76287″ img_size=”120×120″ style=”vc_box_circle_2″ alignment=”center” qode_css_animation=””][vc_column_text]<\/p>\n

Dr. Andreas Angerer<\/strong><\/p>\n

Phone +49 821 885 882-94
\nandreas.angerer@xitaso.com<\/a><\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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css_animation=””][vc_column_inner][vc_column_text] MDR-compliant surgery recommendations based on neural…<\/p>\n","protected":false},"author":16,"featured_media":106293,"parent":22122,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full_width.php","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-106286","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nReliable AI for better surgical decisions | XITASO<\/title>\n<meta name=\"description\" content=\"AI-powered surgery recommendations under MDR: how XITASO developed neural networks ready for certification in medical technology.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/xitaso.com\/en\/projects\/ai-for-surgical-decisions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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