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Artificial Intelligence coupled with Web-based information systems is revolutionizing health care into a data-driven, interconnected ecosystem. This workshop will concentrate on state-of-the-art research at the crossroads of AI, Web technologies and healthcare applications, with a focus on trustworthy, scalable and interoperable solutions. It aims at tackling key challenges like the integration of heterogeneous health data sources, the deployment of AI models into real-world clinical workflows, explainability and fairness, and the use of Web-based infrastructures for largescale healthcare intelligence.<\/p>\n
The workshop will not address traditional AI-for-health venues, but will focus on Web-centric paradigms such as linked health data, semantic interoperability, Web services, and distributed AI systems. It will promote collaborations between disciplines of researchers, clinicians and industry practitioners for the design of next generation intelligent healthcare systems that are reliable, ethical and accessible.<\/p>\n
At the end, the workshop seeks to fill the gap between advanced AI models and their safe and effective adoption in real-world healthcare ecosystems.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_tta_accordion][vc_tta_section title=”Topics of Interest (But not limited to)” tab_id=”1669785090648-608172ee-d777″][vc_column_text]<\/p>\n
[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Paper Submission Guidelines” tab_id=”1778952201377-56c357f8-bbb9″][vc_column_text]All submissions for this workshop must be written in English and conform to the Springer proceedings format with the following page limits: 12 pages for papers including references. Submitted papers will undergo a \u201cdouble-blind\u201d review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors\u2019 names, affiliations, funding, and any other identifying information of authorship do not appear on the title page or elsewhere in the paper. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.<\/p>\n
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines<\/a><\/span>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Publication” tab_id=”1699374020537-eb707e08-cc9a”][vc_column_text]<\/p>\n [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Submissions” tab_id=”1706778996934-13a2f3b1-4aa1″][vc_column_text]All paper submissions for this workshop will be via Microsoft CMT<\/strong><\/a> (under \u201cWorkshop on Web-Enabled Trustworthy AI for Healthcare: From Data Ecosystems to Clinical Impact”).<\/p>\n The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Important Dates” tab_id=”1669785352215-8e3485c4-ec7d”][vc_column_text]<\/p>\n *All deadlines are 23:59 Anywhere on Earth.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Organizers” tab_id=”1778952435278-66ec2e42-1a43″][vc_column_text]<\/p>\n\n\n
\n Submission Deadline (extended)<\/td>\n 17 June 2026<\/s>\u00a031 July 2026<\/strong><\/td>\n<\/tr>\n\n Authors Notification (revised)<\/td>\n 20 July 2026<\/s>\u00a012 August 2026<\/td>\n<\/tr>\n\n Final Manuscript Due<\/td>\n 25 August 2026<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n