[vc_row][vc_column][vc_column_text]As Artificial Intelligence (AI) is drastically reshaping industries globally, its impact on healthcare and medical informatics is particularly vital. By moving beyond traditional approaches, AI facilitates faster and more accurate diagnostics, optimized treatment plans, and intelligent healthcare management and consequently enhancing patient outcomes and quality of care. This special track aims to bring together researchers, clinicians, data scientists, and industry experts to present and discuss the latest research in AI-powered healthcare systems.<\/p>\n
The scope of this track covers deep learning applications in medical images, intelligent diagnostic systems, and predictive modeling for early disease detection. It covers more than just those subjects; it also looks at how machine learning, neural networks, and generative AI models help advance genomics and drug discovery. AI-enabled customized treatment plans based on patient data are also present in this track and are considered as important field in personalized medicine. The track will also highlight the growing expanding use of AI in public health surveillance, including effective healthcare resource management, pandemic preparedness, and outbreak prediction.<\/p>\n
This track promotes interdisciplinary collaboration by connecting computer science (AI and ML), medical research, and clinical practice. It aims to address key challenges in healthcare by showcasing innovative solutions and highlighting the impact of cutting-edge technologies through real-world healthcare applications.<\/p>\n
Topics<\/strong> Important dates :<\/strong><\/p>\n Program Committee<\/strong><\/p>\n Paper Submission Details<\/strong><\/p>\n Manuscripts must be prepared in 10-point font using the IEEE 8.5\u2033 x 11\u2033 two-column conference format. Special Track Organizers<\/strong>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/4″][vc_single_image image=”5378″ style=”vc_box_circle”][\/vc_column][vc_column width=”3\/4″][vc_column_text]Dr. Samia Kouki [vc_row][vc_column][vc_column_text]As Artificial Intelligence (AI) is drastically reshaping industries globally, its impact on healthcare and medical informatics is particularly vital. By moving beyond traditional approaches, AI facilitates faster and more accurate diagnostics, optimized treatment plans, and intelligent healthcare management and consequently…<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5343","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/5343","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/comments?post=5343"}],"version-history":[{"count":35,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/5343\/revisions"}],"predecessor-version":[{"id":5401,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/5343\/revisions\/5401"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/media?parent=5343"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n1. AI-based Clinical Decision Support Systems
\n2. Deep Learning in Medical Imaging
\n3. Natural Language Processing in Electronic Health Records
\n4. Machine Learning for Disease Prediction and Risk Assessment
\n5. AI in Genomic Data Analysis
\n6. Drug Discovery using Computational Models
\n7. Personalized and Precision Medicine
\n8. Wearable Devices and Health Monitoring
\n9. AI for Epidemic and Pandemic Forecasting
\n10. Federated Learning in Healthcare
\n11. Ethical and Legal Aspects of AI in Medicine
\n12. AI-Enabled Robotics in Surgery and Rehabilitation<\/p>\n\n
August 15, 2025<\/s> 05 September 2025.<\/b><\/li>\n\n
\nThe papers must be submitted electronically via EasyChair at:\u00a0https:\/\/easychair.org\/conferences\/?conf=inista2025<\/a><\/p>\n
\nHigher Colleges of Technology, UAE
\nEmail: samia.kouki@hct.ac.ae<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/4″][vc_single_image image=”5380″ style=”vc_box_circle_2″][\/vc_column][vc_column width=”3\/4″][vc_column_text]Dr. Majed Bouchahma
\nHigher Colleges of Technology, UAE
\nEmail: mbouchahma@hct.ac.ae<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/4″][vc_single_image image=”5379″ style=”vc_box_circle_2″][\/vc_column][vc_column width=”3\/4″][vc_column_text]Dr. Nacim Yanes
\nUniversity of Gabes, ISGGB, Tunisia
\nUMA, RIADI (LR99ES26), Tunisia
\nEmail: Nacim.yanes@ensi-uma.tn<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/4″][vc_single_image image=”5381″ style=”vc_box_circle_2″][\/vc_column][vc_column width=”3\/4″][vc_column_text]Dr. Malika Charrad
\nUniversity of Paris-Panth\u00e9on-Assas, France
\nEmail: malika.charrad@efrei.fr<\/a>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"