8:00 - 8:45
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Entry & Registration
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8:45 - 10:50
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Session 1: Opening session (Recording)
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Khahlil Louisy, Institute for Technology and Global Health, MIT/Harvard
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"Introduction to the ITU/WHO Focus Group on AI for Health": Thomas Wiegand, FG-AI4H Chair, Fraunhofer HHI
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"ITU/WHO Global Initiative of AI for Health": Sameer Pujari, WHO [Presentation]
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Keynote: Susan Blumenthal, MIT Media Lab; Former Assistant US Surgeon General
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"(Differential) Privacy in Medical Setings": Cynthia Dwork, Professor of Computer Science, Harvard University
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11:10 - 12:05
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Session 2: Future of AI for public health
Moderator: Khahlil Louisy, Institute for Technology and Global Health, MIT/Harvard
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"Web3 and Decentralized AI (DecAI)": Ramesh Raskar, MIT Media Lab [Presentation]
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"(Differential) Privacy in Medical Settings": Cynthia Dwork, Professor of Computer Science, Harvard University [Presentation]
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Susan Blumenthal, Former Assistant US Surgeon General
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Marcelo D'Agostino, Senior Advisor Digital Health PAHO
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12:05 - 13:00
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Session 3: Future of AI and smart cities for health
Moderator: Sylvia Hartmann, Harvard Chan School of Public Health
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Stephen Goldsmith, Former Mayor - Indianapolis I Deputy Mayor New York I Professor, HKS
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Ann Forsyth, Program Director, Harvard Graduate School of Design/ Healthy Places Lab
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Monique Kuglitsch, Chair FG-AI4NDM, Fraunhofer HHI
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13:00 - 13:45
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Lunch Break |
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13:45 - 15:30
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Session 4: Regulatory concepts workshop
Moderator: Sameer Pujari, WHO
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"Overview of Regulatory Concepts of AI for Health": Shada Alsalamah, WHO [Presentation]
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David Vidal, Mayo Clinic
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Shubhanan Upadhyay, Ada Health
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Andreas Reis, WHO
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Bastiaan Quast, ITU
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Junaid Nabi, Harvard University
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15:30 - 15:50
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Session 5: Young Researchers MIT + Harvard
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"AI + Mental Health": Morgan Moncada, Harvard Business School MBA Candidate; Willow Health [Presentation]
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15:55 - 17:05
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Session 6: Challenges of development & deployment of AI in clinical settings
Moderation:
Kassandra Karpathakis, Harvard University &
Alastair Denniston, University of Birmingham
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"Intro WG clinical evaluation, setting intent & purpose of the workshop": Shubs Upadhyay, Ada Health &
Eva Weicken, Fraunhofer HHI [Presentation]
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"Development and Deployment of AI in the UK NHS": Xiao Liu, University of Birmingham [Presentation]
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Mark Sendak, Duke University & Duke Institute for Health Innovation
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"The promise of AI in healthcare in LMICs": Zahra Hoodbhoy, The Aga Khan University [Presentation]
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"Organizational Ethics of AI integration in Health Institutions": Melissa McCradden, Hospital of Sick Children [Presentation]
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"Challenges of development & deployment of digitized malaria detection in Uganda": Rose Nakasi, Makerere University, Uganda [Presentation]
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17:05 - 17:35
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Session 7: Advancing Digital Health through Cross-Sector Collaborations
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Spectra Asala
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Christy Fernandez Cull
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Ngasuma Kanyeka
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17:35 - 17:45
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Closing Remarks
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Khahlil Louisy, Institute for Technology and Global Health, MIT/Harvard
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AI for Dentistry Symposium
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8:00 - 8:30 |
Entry & Registration
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8:30 - 8:40
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Session 1: Opening session
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8:40 - 10:20
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Session 2:
Keynote address:
"AI in dentistry: What shall we focus on in research?": Falk Schwendicke,
Charité&Dentalxr.ai
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"Data sharing for AI in dentistry": Johannes Tanne, Johannes Tanne Consulting [Presentation]
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"How can we review the availability of scientific evidence of the commercially available artificial intelligence (AI) products?": Olga Tryfonos, ACTA, Netherlands
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"Machine learning for classification of oral epithelial dysplasia and diagnosis of squamous cell carcinoma - a progress report": Parul Khare, SDS Sharda University, India [Presentation]
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"Gaze pattern analysis and AI in dentistry":
Lubaina T. Arsiwala-Scheppach, Charité Universitätsmedizin Berlin [Presentation]
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"AI research in a resource-capped work environment a case study of impediments and recommendations":
Fahad Umer, Aga Khan University Hospital [Presentation]
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11:00 - 11:15
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Coffee Break
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11:15 - 13:00
| Session 3:
- "SUNYCell: A Collaborative Computational Pathology Project Framework": Scott Doyle,
University at Buffalo, State University of New York
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13:00 - 13:45
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Lunch Break
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13:45 - 15:30
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Session 4:
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"Overcoming current challenges in dental deep learning":
Martha Büttner,
Charité Universitätsmedizin Berlin [Presentation]
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"AI in pediatric dentistry": Rata Rokhshad, Department of Medicine, Boston University Medical Center [Presentation]
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"AI based software for dentistry - a brief market overview": Janet Brinz, LMU Munich [Presentation]
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"Crowdsourcing for AI-assisted dental disease detection": Yunpeng Li, University of Surrey, UK [Presentation]
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"Prediction of post-traumatic neuropathy following impacted mandibular third molar removal based on dental macroanatomy using machine learning": Balazs Feher, Harvard School of Dental Medicine [Presentation]
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"The effect of a deep-learning tool on dentist’s performance in detecting apical radiolucencies": Manal Hamdan, Marquette University School of Dentistry [Presentation]
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"How to determine the sample-size for machine learning in dental imaging":Nielsen Pereira [Presentation]
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15:30 - 15:50 | Closing remarks
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