2026 7th International Symposium on Artificial Intelligence for Medical Sciences(ISAIMS2026)
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About this event
2026 7th International Symposium on Artificial Intelligence for Medical Sciences (ISAIMS 2026)
About ISAIMS 2026
The emergence of artificial intelligence (AI) in healthcare has been groundbreaking, reshaping the way we diagnose, treat, and monitor patients. This technology is drastically improving healthcare research and outcomes by producing more accurate diagnoses and enabling more personalized treatments.
The 2026 7th International Symposium on Artificial Intelligence for Medical Sciences (ISAIMS 2026) will be held from October 23–25, 2026 in Shanghai, China. As an annual conference successfully held for six years, ISAIMS has attracted over 1,000 scholars and experts globally. The symposium focuses on cutting-edge topics such as frontier AI technologies, biometrics, intelligent medical robots, intelligent image recognition, intelligent diagnosis and treatment, medical AI in the post-epidemic era, and more.
This event serves as an invaluable platform for networking, knowledge exchange, and fostering innovative ideas in the realm of intelligent healthcare. Participants are invited to contribute to discussions that promise to be both enriching and inspiring.
Key Highlights
- Dates: October 23–25, 2026
- Location: Shanghai, China (Venue details to be confirmed)
- Audience: Scholars, researchers, healthcare professionals, AI developers, industry leaders, and policymakers.
- Scope: Topics include intelligent diagnosis, precision medicine, medical imaging, healthcare big data, smart medical devices, robotics, hospital management, and AI in traditional medicine.
Call for Papers
ISAIMS 2026 invites submissions on, but not limited to, the following tracks:
- Track 1: Intelligent Diagnosis and Clinical Decision-Making
- Track 2: Precision Medicine and Biomedical Informatics
- Track 3: Medical Imaging and Medical NLP
- Track 4: Healthcare Big Data and AI Technologies
- Track 5: Smart Medical Devices and Robotics
- Track 6: Smart Health Management and Nursing
- Track 7: Hospital Management and Data Security
- Track 8: AI in Traditional Medicine (Including TCM)
- Track 9: Other Emerging Topics
Note: All submissions must report original, unpublished research. Plagiarism or misconduct is strictly prohibited.
Important Dates
- Full Paper Submission: July 6, 2026
- Final Paper Submission: June 24, 2026
- Registration Deadline: October 12, 2026
- Conference Dates: October 23–25, 2026
Publication
All accepted full papers will be published in the ACM International Conference Proceedings Series and submitted to EI Compendex/Scopus for indexing. Past editions (ISAIMS 2020–2025) are available in the ACM Digital Library.
Submission Guidelines
- Papers must not be under consideration elsewhere.
- Submit full papers (Word + PDF) via the online system.
- Full papers are required for publication; abstracts are accepted for presentation only.
- Download templates here.
- Contact isaims2020@163.com for inquiries.
Organized By
Details about organizing institutions and partners will be provided on the official website: https://www.isaims.org/
Contact Us
For more information, visit ISAIMS 2026 Official Website or email isaims2020@163.com.
Data sheet
2026 7th International Symposium on Artificial Intelligence for Medical Sciences (ISAIMS 2026) – Event Attendee & Buyer Profile Analysis
Event date: October 23–25, 2026
Location: Shanghai, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 7th International Symposium on Artificial Intelligence for Medical Sciences (ISAIMS 2026) |
| Event Date | October 23–25, 2026 |
| Event Status | Upcoming |
| Venue | Venue not publicly confirmed on the official website content provided. |
| City | Shanghai |
| State / Region | Shanghai Municipality |
| Country | China |
| Organizer | Organizer name not clearly specified in the official website content provided. |
| Official Event Website | www.isaims.org |
| Event Type | International academic symposium / conference |
| Primary Category | Medical & Pharma |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | International / Global scholarly and professional reach |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer for the 2026 edition. |
| Attendance Data Reliability | Low for current-year volume; historical website statement indicates the conference series has attracted more than 1,000 scholars and experts across prior editions. |
| Main Purpose of Event | Research exchange, paper presentation, publication, academic networking, and industry discussion around AI applications in medical sciences, diagnostics, imaging, health data, robotics, and hospital management. |
About the Event
ISAIMS 2026 is an international symposium focused on artificial intelligence in medical sciences, scheduled for October 23–25, 2026 in Shanghai, China. Based on the official event website, the conference covers intelligent diagnosis and clinical decision-making, precision medicine, biomedical informatics, medical imaging, medical NLP, healthcare big data, smart medical devices, robotics, smart health management, hospital management, and data security.
From a business-intelligence perspective, the event is primarily an academic and professional knowledge-exchange conference rather than a conventional buyer-heavy trade exhibition. It is still relevant for B2B outreach in healthcare AI, medical devices, hospital technology, clinical software, imaging analytics, data platforms, and research partnerships because it attracts scholars, experts, healthcare professionals, AI developers, and industry stakeholders. The strongest value lies in thought-leadership targeting, partnership development, research collaboration, and pipeline-building among innovation-led decision-makers.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and principal investigators | Universities, medical schools, research institutes | Influence technology evaluation, collaborations, grants, and pilot studies | High for AI platforms, analytics tools, datasets, imaging software, and co-research partnerships |
| Hospital clinicians and healthcare professionals | Hospitals, specialty clinics, academic medical centers | End-user influence on diagnosis tools, workflow systems, and clinical adoption | High for clinical AI, decision support, medical imaging, nursing systems, and smart devices |
| Healthcare AI developers and product teams | Healthtech companies, AI startups, software vendors | Evaluate integration tools, cloud infrastructure, model deployment, and data partnerships | High for B2B technology sales, integration services, APIs, MLOps, and data security offerings |
| Hospital IT and digital transformation leaders | Hospital information departments, digital health offices | Influence procurement of AI systems, data platforms, cybersecurity, and interoperability tools | Very relevant for enterprise healthcare software and deployment partners |
| Medical imaging and diagnostics specialists | Radiology departments, diagnostics labs, imaging research groups | Shape evaluation and purchase recommendations for AI-assisted imaging tools | High relevance for imaging AI, PACS add-ons, annotation tools, and validation datasets |
| Biomedical informatics and health data leaders | Research hospitals, public health institutions, informatics centers | Influence data governance, analytics, infrastructure, and interoperability decisions | High for data management, privacy, cloud, and AI governance solutions |
| Smart medical device and robotics teams | Device manufacturers, robotics labs, medtech companies | Evaluate component suppliers, software partners, sensor systems, and validation services | Relevant for medtech suppliers, software partners, and embedded AI solution providers |
| Policy, standards, and healthcare administration stakeholders | Healthcare administrators, policy bodies, hospital management groups | Influence adoption frameworks, data security, compliance, and implementation priorities | Relevant for governance, compliance, and hospital operations offerings |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Shanghai | Local hospitals, universities, AI labs, healthtech firms, and clinical researchers | High | Strong base for digital health, tertiary hospitals, research institutes, and technology companies |
| Shanghai Municipality | Regional medical, academic, and technology professionals | High | Convenient for hospitals, medical schools, innovation parks, and enterprise R&D teams |
| Yangtze River Delta | Attendees from Jiangsu, Zhejiang, and nearby advanced manufacturing and healthcare hubs | High | Likely catchment for medtech, AI, hospital systems, and university research communities |
| National China | Scholars, clinicians, and AI professionals from major Chinese research and healthcare centers | Medium to High | Conference paper submissions and publication incentives support nationwide participation |
| International | Global scholars and experts, based on official conference description | Medium | Best suited to research partnerships, publication-driven attendance, and specialist knowledge exchange |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website states the conference has attracted more than 1,000 scholars and experts and positions the event as an international symposium. Topics and publication pathways support international academic reach. |
| National | Secondary reach | China is likely the strongest practical attendee base due to host location, language accessibility, and domestic research participation. |
| Regional | Secondary reach | Shanghai and the Yangtze River Delta should represent the densest concentration of hospital, university, and healthtech attendees. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Current-year buyer organizations not publicly released | N/A | The official website content provided does not include a current attendee list, sponsor list, exhibitor directory, or speaker-organization roster that would support named buyer-side participation. | N/A | Hospital CIO, Director of Medical Informatics, AI Research Lead, Digital Health Director, Clinical Innovation Director | No public current-year list available |
Buyer-side named-company targeting cannot be responsibly confirmed from the supplied official materials. For prospecting, this event is better approached through role-based and institution-type targeting rather than claiming specific company attendance.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Medical Information Officer | Clinical Informatics / IT | C-Level | Bridges clinical priorities with digital transformation and AI adoption |
| 2 | CIO / IT Director | Information Technology | Director / Executive | Owns healthcare systems, deployment feasibility, security, and integration |
| 3 | Director of Medical Informatics | Medical Informatics | Director | Key buyer/influencer for data platforms, AI workflows, and clinical analytics |
| 4 | Head of AI / AI Research Lead | R&D / Innovation | Head / Director | Relevant for partnership, tooling, model development, and research collaboration |
| 5 | Clinical Innovation Director | Clinical Operations / Innovation | Director | Evaluates solutions that improve patient pathways and clinical efficiency |
| 6 | Radiology Director / Imaging Informatics Lead | Radiology / Imaging | Director / Manager | Highly relevant for imaging AI, diagnostics, and workflow automation |
| 7 | Biomedical Engineering Director | Biomedical Engineering | Director | Important for smart devices, robotics, sensors, and system integration |
| 8 | Hospital Operations Director | Operations | Director | Relevant for smart health management, workflow optimization, and process automation |
| 9 | Data Security / Information Security Director | Security / Compliance | Director / Head | Critical for hospital management and data security track relevance |
| 10 | Professor / Principal Investigator | Research / Academic Department | Senior | Strong influence on pilots, collaborations, publications, and technology validation |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Hospital & Health Care | Core end-user segment for medical AI adoption | Hospital systems, AI diagnosis, digital care workflows |
| 2 | Medical Devices | Relevant to smart devices, robotics, and intelligent medical equipment | Device partnerships, embedded AI, sensor technology |
| 3 | Biotechnology | Supports precision medicine and biomedical informatics themes | Research AI, biomarker analysis, translational medicine |
| 4 | Pharmaceuticals | Relevant for AI-enabled R&D and health data applications | Clinical analytics, drug discovery support, evidence platforms |
| 5 | Information Technology & Services | Covers healthcare IT vendors, integrators, and digital transformation providers | Implementation, consulting, integration, managed services |
| 6 | Computer Software | Relevant for AI platforms, analytics, imaging tools, and clinical software | SaaS, AI applications, workflow automation |
| 7 | Research | Strong fit for academic and scientific institutions | Research collaborations, data partnerships, pilot studies |
| 8 | Higher Education | Universities and medical schools are likely major attendees | Lab tools, research software, collaboration platforms |
| 9 | Government Administration | Relevant where public hospitals or health systems influence adoption | Public health modernization and hospital digital policy support |
| 10 | Computer & Network Security | Aligned with hospital management and data security themes | Healthcare cybersecurity, privacy, data protection |
| 11 | Industrial Automation | Applicable to robotics and smart medical systems | Automation components, robotics integration, process control |
| 12 | Health, Wellness & Fitness | Relevant to smart health management and preventive care applications | Remote monitoring, wellness analytics, care engagement |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer | Not Confirmed | Official website content provided | No 2026 attendance forecast was published in the supplied official materials |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website content provided | Event appears conference-led rather than exhibition-led |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website content provided | No hosted-buyer or procurement program was identified in the supplied materials |
| Speaker count | Not publicly confirmed from supplied text | Not Confirmed | Official website content provided | Website navigation includes a speakers page, but no numerical count was provided in the supplied content |
| Sponsor count | Not publicly confirmed | Not Confirmed | Official website content provided | Supported by / organized by fields were present but not populated in the supplied text |
| Historical participation | More than 1,000 scholars and experts | Historical / prior-year evidence | Official about page statement | This appears to describe cumulative or series-level attendance across six years, not a confirmed 2026 headcount |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Intelligent diagnosis and clinical decision-making | Faster, more accurate diagnosis and care-path decision support | Clinical validation conversations and pilot program outreach | Diagnostic AI, CDS tools, clinical workflow software |
| Precision medicine and biomedical informatics | Integration of genomic, patient, and research data for personalized care | Partnerships with research centers and advanced healthcare institutions | Data platforms, analytics engines, interoperability solutions |
| Medical imaging and medical NLP | Image analysis, reporting automation, and insight extraction | Radiology and imaging-informatics targeting | Imaging AI, annotation tools, NLP engines, reporting assistants |
| Healthcare big data and AI technologies | Scalable data management, model deployment, governance | IT and informatics leadership outreach | Cloud data stacks, MLOps, analytics infrastructure, integration services |
| Smart medical devices and robotics | Intelligent devices, automation, and advanced care delivery systems | Device and engineering partnership development | Embedded AI, robotics software, sensors, device analytics |
| Smart health management and nursing | Operational efficiency, patient monitoring, and care coordination | Hospital operations and nursing informatics targeting | Remote monitoring, workflow software, care management platforms |
| Hospital management and data security | Secure AI deployment, compliance, and governance | Security-led and administrator-led outreach | Cybersecurity, identity management, compliance software, audit tooling |
| AI in traditional medicine and emerging topics | Novel research use cases and differentiated local-market applications | Specialized academic collaboration and localization opportunities | Custom AI models, research services, specialized data tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Highly relevant for healthcare AI, medical software, data, imaging, and research suppliers, though less procurement-centric than a trade expo. |
| Decision-maker availability | Medium | Senior researchers and specialist leaders are likely present; pure procurement officers are less certain from available evidence. |
| Data collection potential | Medium | Good for role-based lead capture and collaboration contacts, but public attendee transparency is limited in the supplied materials. |
| Apollo targeting potential | Very High | Strong fit for account- and title-based targeting across hospitals, medtech, software, universities, and research institutions. |
| Geographic targeting potential | High | Shanghai and broader China provide practical targeting anchors, with international expansion possible for research-centric outreach. |
| Best outreach approach | High | Use thought leadership, publication relevance, pilot-case discussions, and use-case-led outreach rather than hard-sell procurement messaging. |
| Overall lead quality | High | Best for innovation-driven B2B pipeline, partnerships, and institutional targeting in healthcare AI. |
| Best use case | High | Ideal for targeted outreach to hospitals, research institutions, medtech innovators, and digital health solution teams. |
| Limitations / risks | Medium | Limited public confirmation of named buyers, venue, organizer detail, and 2026 volume metrics. Not ideal for claiming a verified attendee list. |
B2B attendee list building suitability: Moderately suitable for institution-level and role-based lead generation; not currently suitable for a fully verified named attendee list sale based on the public materials supplied.
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Hospital & Health Care; Medical Devices; Biotechnology; Pharmaceuticals; Information Technology & Services; Computer Software; Research; Higher Education; Computer & Network Security; Government Administration | Capture the core healthcare, medtech, research, and digital infrastructure audience segments |
| Departments | Information Technology; Engineering; Research; Operations; Medical / Clinical; Product Management; Innovation; Security | Align outreach with AI adoption, implementation, and evaluation roles |
| Seniority | C-Level; VP; Director; Head; Manager; Owner for smaller healthtech firms; Partner/Professor-equivalent where available | Focus on decision-makers and influential evaluators |
| Job titles | Chief Medical Information Officer, CIO, IT Director, Director of Medical Informatics, Head of AI, Clinical Innovation Director, Radiology Director, Imaging Informatics Lead, Biomedical Engineering Director, Data Security Director, Research Director, Principal Investigator | Target the most event-relevant profiles |
| Geography | Shanghai; China; East China; optional expansion to APAC and global academic medical centers | Mirror likely participation footprint while keeping the list practical |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture hospitals, mature healthtech firms, universities, and enterprise vendors |
| Keywords | artificial intelligence, medical AI, healthcare AI, clinical decision support, medical imaging, NLP, biomedical informatics, precision medicine, smart hospital, digital health, hospital data security, robotics | Improve relevance where titles and industries alone are too broad |
| Technologies | AI/ML tools, cloud platforms, imaging systems, cybersecurity stacks, hospital information systems, data platforms | Useful if technology filters are available in the workflow |
| Revenue range | Mid-market to enterprise where available | Prioritize organizations with budget and infrastructure for adoption |
| Company type | Hospitals, academic medical centers, universities, research institutes, medtech firms, health software vendors, public health bodies | Match the event’s practical attendee ecosystem |
Suggested Apollo Search Logic: ("artificial intelligence" OR "medical AI" OR "healthcare AI" OR "clinical decision support" OR "medical imaging" OR "biomedical informatics" OR "precision medicine" OR "smart hospital") AND (hospital OR university OR research institute OR medical device OR digital health OR radiology OR informatics).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ISAIMS Official Website | Official event website | Event name, dates, city, country, conference scope, important dates, publication pathway, topic tracks, historical statement that the series has attracted more than 1,000 scholars and experts | High |
| Official website content supplied in user prompt | Primary source extract | Confirmed that the authoritative conference dates are October 23–25, 2026 in Shanghai, China; venue and organizer name were not clearly provided in the supplied text | High |
| Research assessment based on available official materials only | Analyst note | No public current-year attendee list, buyer list, exhibitor directory, venue confirmation, or named organizer entity was available in the supplied source text; therefore named buyer-company attendance could not be responsibly verified | High methodological reliability |
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