BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260107T225647Z UID:53823E22-FA0F-415D-95B6-728E8CEB7653 DTSTART;TZID=Europe/Berlin:20260425T090000 DTEND;TZID=Europe/Berlin:20260427T150000 DESCRIPTION:IEEE ISSATK'2026\n\nInternational Symposium of Systems\, Advanc ed Technologies and Knowledge\n\nhttp://Issatk2026.sciencesconf.org\n\nApr il 25-27\, 2026\n\nHammamet\, Tunisia\n\nIEEE ISSATK (International Sympos ium of Systems\, Advanced Technologies\, and Knowledge) is a multidiscipli nary conference that serves as a platform for knowledge sharing about the recent trends and advancements in computer science\, electrical engineerin g\, and mechanical engineering. ISSATK brings researchers and students to participate with original papers not submitted to another journal or confe rence.\n\nCall for Papers & Participation – Special Session on Intellige nt E-Health (IEEE ISSATK 2026)\n\nWe are pleased to invite you to particip ate and submit your research work to the Special Session on Intelligent E- Health: Leveraging Data for Digital Health Transformation and eXplainabili ty\, to be held as part of IEEE ISSATK 2026.\nThis special session aims to bring together researchers\, healthcare professionals\, and industry expe rts to discuss recent advances in data-driven digital health\, with a stro ng focus on explainable AI\, trustworthy deep learning\, multimodal data i ntegration\, Generative AI\, and Large Language Models (LLMs) for healthca re applications.\nSpecial Session Chairs\n• Pr. Ketan Kotecha\, Symbiosi s international university\, India\n• Dr. Raouia Mokni\, University of G abes\, Tunisia\n• Dr. Boudour Ammar\, University of Sfax\, Tunisia\n• Dr. Amal Jlassi\, University of Tunis ElManar\, Tunisia\n\nTopics of inter est include (but are not limited to):\n\n- Data science techniques for exp lainable healthcare models\n- Interpretable machine learning for clinical decision support\n- Transparent AI in medical imaging and diagnostics\n- L LM applications in healthcare documentation and knowledge systems\n- Ethic al and privacy-preserving frameworks for healthcare data\n- LLM and multim odal AI for clinical reasoning and diagnosis\n- Federated and privacy-pres erving learning for distributed clinical data\n- Real-time clinical decisi on support using multimodal streaming data\n- Human-centered design for tr ustworthy health AI\n- Regulatory compliance and validation of explainable AI solutions\n\nImportant Dates\n\n- Full paper submission: 20 January 20 26\n- Notification of acceptance: 10 February 2026\n- Camera-ready submiss ion & registration: 20 February 2026\n- [📧]Contact: IntelligentEhealth@ gmail.com\n- [🌐] https://issatk2026.sciencesconf.org/\n\n[📌] Submiss ion Guidelines\nPapers should be submitted via the EasyChair system and as signed to the track: “Intelligent E-Health: Leveraging Data for Digital Health Transformation and eXplainability”\nAll submitted papers must be formatted in the standard 2-column IEEE Proceedings format. The standard p age limit for each paper is 6 pages. Fee for extra pages will be added to the registration fees. Each paper will be reviewed by at least three revie wers. Papers will be selected based on their originality\, relevance\, tec hnical clarity\, and presentation. The proceedings will be submitted to IE EE Xplore. Paper format and styles are available for download: https://www .ieee.org/conferences/publishing/templates.html\n\n[🔗] EasyChair submis sion link:https://easychair.org/conferences?conf=issatk2026\n\nWe warmly e ncourage your participation and look forward to your valuable contribution s to this special session.\n\nAgenda: \n\n\nhammamet\, Tunisia\, Nabeul\, Tunisia LOCATION:hammamet\, Tunisia\, Nabeul\, Tunisia ORGANIZER:cis@ieee.tn SEQUENCE:17 SUMMARY:Call for Papers & Participation – Special Session on Intelligent E-Health (IEEE ISSATK 2026) URL;VALUE=URI:https://events.vtools.ieee.org/m/531745 X-ALT-DESC:Description: <br /><div id="section1" class="text-section"></div >\n<div id="section2" class="text-section active">\n<div class="elementor- element elementor-element-1b82cf7 elementor-widget elementor-widget-headin g" data-id="1b82cf7" data-element_type="widget" data-widget_type="heading. default">\n<div class="elementor-widget-container">\n<h1 class="title" sty le="text-align: center\;"><span style="color: rgb(35\, 111\, 161)\;">IEEE ISSATK'2026</span></h1>\n<h2 class="subtitle" style="text-align: center\;" ><span style="color: rgb(35\, 111\, 161)\;">International Symposium of Sys tems\, Advanced Technologies and Knowledge</span></h2>\n<p style="text-ali gn: center\;"><span style="color: rgb(35\, 111\, 161)\;"><a href="http://I ssatk2026.sciencesconf.org">http://Issatk2026.sciencesconf.org</a></span>< /p>\n<h2 class="subtitle" style="text-align: center\;">April 25-27\, 2026< /h2>\n<h2 class="subtitle" style="text-align: center\;">Hammamet\, Tunisia </h2>\n<div class="xdj266r x11i5rnm xat24cr x1mh8g0r x1vvkbs x126k92a">\n< div dir="auto">&nbsp\;</div>\n<div dir="auto">IEEE ISSATK (International S ymposium of Systems\, Advanced Technologies\, and Knowledge) is a multidis ciplinary conference that serves as a platform for knowledge sharing about the recent trends and advancements in computer science\, electrical engin eering\, and mechanical engineering. ISSATK brings researchers and student s to participate with original papers not submitted to another journal or conference.</div>\n<div dir="auto">&nbsp\;</div>\n<h4 dir="auto" style="te xt-align: center\;">&nbsp\;<span style="color: rgb(53\, 152\, 219)\;"><str ong>Call for Papers &amp\; Participation &ndash\; Special Session on Intel ligent E-Health (IEEE ISSATK 2026)</strong></span></h4>\n<div id="wp_59288 " class="widget"></div>\n</div>\n</div>\n</div>\n</div>\n<div style="all: initial !important\;">\n<div>We are pleased to invite you to participate a nd submit your research work to the&nbsp\;<strong>Special Session on&nbsp\ ;<em>Intelligent E-Health: Leveraging Data for Digital Health Transformati on and eXplainability</em></strong>\, to be held as part of&nbsp\;<strong> IEEE ISSATK 2026</strong>.</div>\n<div>This special session aims to bring together researchers\, healthcare professionals\, and industry experts to discuss recent advances in data-driven digital health\, with a strong focu s on explainable AI\, trustworthy deep learning\, multimodal data integrat ion\, Generative AI\, and Large Language Models (LLMs) for healthcare appl ications.</div>\n<div><strong>Special Session Chairs</strong><br><span sty le="font-family: Aptos\, Aptos_EmbeddedFont\, Aptos_MSFontService\, Calibr i\, Helvetica\, sans-serif\;">&bull\; Pr. Ketan Kotecha\,&nbsp\;&nbsp\;</s pan><span style="font-family: arial\, sans-serif\;">Symbiosis internationa l university</span><span style="font-family: Aptos\, Aptos_EmbeddedFont\, Aptos_MSFontService\, Calibri\, Helvetica\, sans-serif\;">\, India</span>< br><span style="font-family: Aptos\, Aptos_EmbeddedFont\, Aptos_MSFontServ ice\, Calibri\, Helvetica\, sans-serif\;">&bull\; Dr. Raouia Mokni\, Unive rsity of Gabes\, Tunisia</span><br><span style="font-family: Aptos\, Aptos _EmbeddedFont\, Aptos_MSFontService\, Calibri\, Helvetica\, sans-serif\;"> &bull\; Dr. Boudour Ammar\, University of Sfax\, Tunisia</span><br><span s tyle="font-family: Aptos\, Aptos_EmbeddedFont\, Aptos_MSFontService\, Cali bri\, Helvetica\, sans-serif\;">&bull\; Dr. Amal Jlassi\, University of Tu nis&nbsp\;</span>ElManar<span style="font-family: Aptos\, Aptos_EmbeddedFo nt\, Aptos_MSFontService\, Calibri\, Helvetica\, sans-serif\;">\, Tunisia< /span></div>\n<div><span style="font-family: Aptos\, Aptos_EmbeddedFont\, Aptos_MSFontService\, Calibri\, Helvetica\, sans-serif\;">&nbsp\;</span></ div>\n<div><strong>Topics of interest include (but are not limited to):</s trong></div>\n<div>\n<ul>\n<li>Data science techniques for explainable hea lthcare models</li>\n<li>Interpretable machine learning for clinical decis ion support</li>\n<li>Transparent AI in medical imaging and diagnostics</l i>\n<li>LLM applications in healthcare documentation and knowledge systems </li>\n<li>Ethical and privacy-preserving frameworks for healthcare data</ li>\n<li>LLM and multimodal AI for clinical reasoning and diagnosis</li>\n <li>Federated and privacy-preserving learning for distributed clinical dat a</li>\n<li>Real-time clinical decision support using multimodal streaming data</li>\n<li>Human-centered design for trustworthy health AI</li>\n<li> Regulatory compliance and validation of explainable AI solutions</li>\n</u l>\n</div>\n<div><strong>Important Dates</strong></div>\n<div>\n<ul>\n<li> Full paper submission: 20 January 2026</li>\n<li>Notification of acceptanc e: 10 February 2026</li>\n<li>Camera-ready submission &amp\; registration: 20 February 2026</li>\n<li><img class="an1" draggable="false" src="https: //fonts.gstatic.com/s/e/notoemoji/16.0/1f4e7/72.png" alt="📧" width="19" height="19" loading="lazy" data-emoji="📧" aria-label="📧">Contact:&n bsp\;&nbsp\;<a href="mailto:IntelligentEhealth@gmail.com" target="_blank" rel="noopener">IntelligentEhea<wbr>lth@gmail.com</a></li>\n<li><img class= "an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/ 1f310/72.png" alt="🌐" width="13" height="13" loading="lazy" data-emoji= "🌐" aria-label="🌐">&nbsp\;<a href="https://issatk2026.sciencesconf.o rg/" target="_blank" rel="noopener" data-saferedirecturl="https://www.goog le.com/url?q=https://issatk2026.sciencesconf.org/&amp\;source=gmail&amp\;u st=1767905651981000&amp\;usg=AOvVaw1cUK8xLYgnyQXTBAZjkWuj">https://issatk2 026.<wbr>sciencesconf.org/</a></li>\n</ul>\n</div>\n<div><img class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4cc/ 72.png" alt="📌" width="20" height="20" loading="lazy" data-emoji="📌" aria-label="📌">&nbsp\;<strong>Submission Guidelines</strong><br>Papers should be submitted via the&nbsp\;<strong>EasyChair system</strong>&nbsp\ ;and assigned to the track: &ldquo\;<strong>Intelligent E-Health: Leveragi ng Data for Digital Health Transformation and eXplainability</strong>&rdqu o\;<br>All submitted papers must be formatted in the standard 2-column IEE E Proceedings format. The standard page limit for each paper is 6 pages. F ee for extra pages will be added to the registration fees. Each paper will be reviewed by at least three reviewers. Papers will be selected based on their originality\, relevance\, technical clarity\, and presentation. The proceedings will be submitted to IEEE Xplore. Paper format and styles are available for download:&nbsp\;<strong><a id="m_4446157058307785228m_69005 89966366010786gmail-OWA525c7eec-ee8e-43d5-f7ed-369d0c7b86f1" href="https:/ /www.ieee.org/conferences/publishing/templates.html" target="_blank" rel=" nofollow noopener noreferrer noreferrer" data-saferedirecturl="https://www .google.com/url?q=https://www.ieee.org/conferences/publishing/templates.ht ml&amp\;source=gmail&amp\;ust=1767905651981000&amp\;usg=AOvVaw0KwXr_7lQU29 ieiFrHYP5g">https://www.ieee.<wbr>org/conferences/publishing/<wbr>template s.html</a></strong></div>\n<div>&nbsp\;</div>\n<div><img class="an1" dragg able="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f517/72.pn g" alt="🔗" width="17" height="17" loading="lazy" data-emoji="🔗" aria -label="🔗">&nbsp\;EasyChair submission link:<a id="m_444615705830778522 8m_6900589966366010786gmail-OWA19561768-3a96-aaa0-feae-50463ec18dd7" href= "https://easychair.org/conferences?conf=issatk2026" target="_blank" rel="n oopener" data-saferedirecturl="https://www.google.com/url?q=https://easych air.org/conferences?conf%3Dissatk2026&amp\;source=gmail&amp\;ust=176790565 1981000&amp\;usg=AOvVaw033Ant4hW5VgPo337Hi7UX">https://easychair.org/<wbr> conferences?conf=issatk2026</a></div>\n<div>&nbsp\;</div>\n<div>We warmly encourage your participation and look forward to your valuable contributio ns to this special session.</div>\n</div><br /><br />Agenda: <br /><p>&nbs p\;</p>\n<div style="all: initial !important\;">&nbsp\;</div>\n<div style= "all: initial !important\;">&nbsp\;</div>\n<div style="all: initial !impor tant\;">&nbsp\;</div>\n<div style="all: initial !important\;">&nbsp\;</div > END:VEVENT END:VCALENDAR