International Conference on
Explainable AI in Cancer Diagnostics and Clinical Decision
June 2-3, 2025 | Tokyo, Japan
Theme: “Bridging the Gap Between AI Innovation and Clinical Practice: Enhancing Transparency, Trust, and Efficacy in Cancer Care”
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Expired on February 10, 2024
About Explainable AI in Cancer Diagnostics and Clinical Decision
Clinical Decision Conference in Cancer Diagnostics and Clinical Decision will be held on June 2-3, 2025, in Tokyo, Japan. This distinguished event aims to promote the application of explainable artificial intelligence (XAI) within the field of oncology. It will bring together researchers, clinicians, data scientists, and industry experts to delve into the latest advancements in AI-enhanced cancer diagnostics and clinical decision-making. Participants can look forward to keynote speeches, scientific presentations, and panel discussions that will focus on innovative research and techniques aimed at improving the interpretability and transparency of AI models in cancer treatment. Key topics will encompass explainable deep learning approaches for cancer imaging, AI-driven risk assessment, personalized treatment strategies, and the incorporation of XAI into clinical practices.
Additionally, the conference will tackle ethical and regulatory issues related to the implementation of AI in healthcare, the necessity for standardized validation frameworks, and methods to foster collaboration between AI developers and medical professionals. This event will provide a forum to examine the challenges and prospects within the domain, including the trade-off between model complexity and explainability, concerns regarding data privacy, and the evolving role of AI in precision oncology.
Scientific Sessions
01. Introduction to Explainable AI in Oncology
02. Fundamentals of Explainability in AI Models
03. AI for Early Cancer Detection: Explainability Challenges
04. Interpretable Models for Radiomics and Imaging
05. AI-Driven Pathology: Ensuring Interpretability
06. Clinical Decision Support Systems (CDSS) and Explainability
07. Explainability in AI for Prognostic Modeling
08. Ethical Considerations and Transparency in XAI
Who to attend AI in Cancer Diagnostics and Clinical Decision
- Research Scholars
- Professors
- Deans
- Scientist
- Experts Looking for Collaborative Work
- Management Bodies
- Product Developers
- Solution Providers
- Sales & Marketing
- Associations, Societies, & Professional Bodies
- Funding Agencies & Fund Raisers
Why to attend AI in Cancer Diagnostics and Clinical Decision
- Explore the latest developments in your field.
- Attend lectures by the world’s most prominent scientists.
- Speak with poster authors presenting their cutting-edge data.
- Network with colleagues from around the world.
- New Tips & Tactics
- Certification
Explainable AI in Cancer Diagnostics and Clinical Decision Venue - Tokyo, Japan
Tokyo, Japan’s bustling capital, is a mesmerizing blend of traditional and modern influences. Known for its skyscrapers, rich history, and vibrant culture, Tokyo offers a unique experience for visitors.
Highlights:
Shibuya Crossing: It is Known for chaos and attractive surroundings, this is one of the busiest Pedestrian junctions in the world.
Asakusa and senso-ji Temple: Which is encircled by traditional stores and the Old Nakamise Street that sell food and trinkets.
Tokyo Tower : It is a major landmark that features observation decks with breathtaking views and a lovely Parisian design.
Akihabara: The center of attraction is otaku culture, renowned for its electronics stores,shops selling manga and anime,cafes with a theme.
Ginza is a posh shopping area with upscale boutiques ,department stores and excellent restaurants.
Media Partners & Collaborations
Event Summary
Conferences serve as essential platforms for academic researchers and business executives alike. They encompass various elements, including numerous presentations, interactive breakout sessions, hands-on product demonstrations, and unparalleled networking opportunities.
We’ve extended invitations to globally renowned keynote speakers, experts, brand ambassadors, and industry leaders, who will graciously share their insights and ideas with our esteemed conference attendees.
Payment for Stripe conferences registrations can only be made by credit card or debit card online and the listed payment applications.
Attending the AI in Cancer Diagnostics and Clinical Decision Conference offers a unique opportunity for professionals in oncology, healthcare, and artificial intelligence to explore the cutting-edge intersection of AI and cancer care. With a focus on explainable AI (XAI), this event delves into the challenges and innovations in developing transparent and interpretable AI models that can be used in cancer detection, treatment, and decision-making. Attendees will gain valuable insights into the ethical considerations, clinical validation, and real-world applications of AI in oncology, as well as its role in personalized cancer treatment, prognostic modeling, and multi-omics integration. The conference will also highlight the practical integration of AI-driven tools into clinical workflows, improving patient stratification and risk assessment. By attending, participants can expand their knowledge of the transformative potential of AI in cancer care, foster collaborations, and contribute to the advancement of AI technologies that can improve clinical outcomes and revolutionize cancer diagnostics and treatment strategies.
The Stripe Conferences is organized by the Stripe journal AI in Cancer Diagnostics and Clinical Decision will take place virtually on June 2-3, 2025 | Tokyo, Japan
Conferences Scientific Sessions list :
- Introduction to Explainable AI in Oncology
- Fundamentals of Explainability in AI Models
- AI for Early Cancer Detection: Explainability Challenges
- Interpretable Models for Radiomics and Imaging
- Explainability in Genomic Data Analysis
- AI-Driven Pathology: Ensuring Interpretability
- Clinical Decision Support Systems (CDSS) and Explainability
- Explainability in AI for Prognostic Modeling
- Ethical Considerations and Transparency in XAI
- Explainable AI for Personalized Cancer Treatment
- AI Model Validation and Explainability
- Explainable AI in Multi-Omics Integration
- Explainability in AI for Drug Discovery and Development
- AI in Cancer Risk Assessment: Challenges and Solutions
- Explainable AI for Patient Stratification
- Integrating Explainable AI into Clinical Workflows
- Explainability in AI for Predictive Analytics
- Comparative Analysis of XAI Techniques in Oncology
- Future Directions in Explainable AI for Cancer Care
- Case Studies and Real-World Applications of XAI in Oncology.
Welcome to the Stripe Conferences on the Future of AI in Cancer Diagnostics and Clinical Decision which will be held on June 2-3, 2025 | Tokyo, Japan.
Join us at Stripe Conferences for AI in Cancer Diagnostics and Clinical Decision. Download the brochure to access essential information on speakers, guidelines, and the tentative program for this exciting event.
Upcoming Conferences 2024
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