All 2022 FAI presentations
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TH-A T-Track 1 Medical Imaging in the Era of Artificial Intelligence
Medical Imaging in the Era of Artificial IntelligencePresented by Curtis Langlotz, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16513

TH-A T-Track 1 Medical Imaging in the Era of Artificial Intelligence Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16514

TH-B T-Track 1 Challenges in AI and its Practical Application
Challenges in AI and its Practical ApplicationPresented by Ceferino Obcemea, NIH/NCI/RRP
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16515

TH-B T-Track 1 Challenges in AI and its Practical Application Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16516

TH-C T-Track 1 Medical Physics and Radiation Oncology in the Age of AI
Medical Physics and Radiation Oncology in the Age of AIPresented by Lei Xing, Stanford University School of Medicine
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16517

TH-C T-Track 1 Medical Physics and Radiation Oncology in the Age of AI Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16518

TH-D T-Track 1 Explainable AI in Biomedicine
Explainable AI in BiomedicinePresented by Su-in Lee, University Of Washington - Seattle
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16519

TH-D T-Track 1 Explainable AI in Biomedicine Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16520

TH-E T-Track 1 AI Infrastructure Needs for Biomedical Research
AI Infrastructure Needs for Biomedical ResearchPresented by David Jaffray, UT MD Anderson Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16521

TH-E T-Track 1 AI Infrastructure Needs for Biomedical Research Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16522

TH-F T-Track 1 Recent Advances in Deep Learning and Big Data
Recent Advances in Deep Learning and Big DataPresented by Matei Zaharia, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16523

TH-F T-Track 1 Recent Advances in Deep Learning and Big Data Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16524

TH-G T-Track 1 The Role of Data in Medical Imaging AI
The Role of Data in Medical Imaging AIPresented by Akshay Chaudhari, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16525

TH-G T-Track 1 The Role of Data in Medical Imaging AI Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16526

TH-H T-Track 1 AI in MRI-guided Radiation Therapy
AI in MRI-guided Radiation TherapyPresented by James Dempsey, ViewRay Incorporated
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16527

TH-H T-Track 1 AI in MRI-guided Radiation Therapy Q & A
Q & APresented by
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VLID: 16528

TH-I T-Track 1 Clinical Perspective of AI: Opportunities and Challenges
Clinical Perspective of AI: Opportunities and ChallengesPresented by Clifton Fuller, MD Anderson Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16529

TH-I T-Track 1 Clinical Perspective of AI: Opportunities and Challenges Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16530

TH-QAA-Track 1 Open Q&A with Speakers
Q&APresented by Curtis Langlotz, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16538

TH-QAA-Track 1 Open Q&A with Speakers
Q&APresented by Ceferino Obcemea, NIH/NCI/RRP
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16539

TH-QAA-Track 1 Open Q&A with Speakers Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16540

TH-QAB-Track 1 Open Q&A with Speakers
Q&APresented by Lei Xing, Stanford University School of Medicine
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16541

TH-QAB-Track 1 Open Q&A with Speakers
Q&APresented by Su-in Lee, University Of Washington - Seattle
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16542

TH-QAB-Track 1 Open Q&A with Speakers
Q&APresented by David Jaffray, UT MD Anderson Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16543

TH-QAB-Track 1 Open Q&A with Speakers Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16544

TH-QAC-Track 1 Open Q&A with Speakers
Q&APresented by Matei Zaharia, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16545

TH-QAC-Track 1 Open Q&A with Speakers
Q&APresented by Akshay Chaudhari, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16546

TH-QAC-Track 1 Open Q&A with Speakers Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16547

FR-A F-Track 1 Data-driven Image Reconstruction
Data-driven Image ReconstructionPresented by Guang-Hong Chen, University of Wisconsin
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16562

FR-A F-Track 1 Data-driven Image Reconstruction Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16563

FR-B F-Track 1 Clinical Implementation of Deep Learning for RT Auto Segmentation
Clinical Implementation of Deep Learning for RT Auto SegmentationPresented by Yi Wang, Massachusetts General Hospital
This presentation has an average satisfaction 5.0 (higher is better), with 1 responding
VLID: 16560

FR-B F-Track 1 Clinical Implementation of Deep Learning for RT Auto Segmentation Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16561

FR-C F-Track 1 Deep Learning for RT Treatment Planning
Deep Learning for RT Treatment PlanningPresented by Xun Jia, The University of Texas Southwestern Medical Ctr
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16558

FR-C F-Track 1 Deep Learning for RT Treatment Planning Q & A
Q & APresented by
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VLID: 16559

FR-D F-Track 1 Deep Learning for IGRT
Deep Learning for IGRTPresented by Xuejun Gu, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16548

FR-D F-Track 1 Deep Learning for IGRT Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16549

FR-E F-Track 1 Outcome and AI Modeling
Outcome and AI ModelingPresented by Issam El Naqa, Moffitt Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16550

FR-E F-Track 1 Outcome and AI Modeling Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16551

FR-G F-Track 1 Data and Data Processing in AI Healthcare
Data and Data Processing in AI HealthcarePresented by Rodney Wiersma, University of Pennsylvania
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16564

FR-G F-Track 1 Data and Data Processing in AI Healthcare Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16565

FR-H F-Track 1 AI for QA and Risk Management
AI for QA and Risk ManagementPresented by Gilmer Valdes, University of California San Francisco
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16566

FR-H F-Track 1 AI for QA and Risk Management Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16567

FR-J F-Track 1 Ethical and Fair AI for Healthcare
Ethical and Fair AI for HealthcarePresented by David Magnus, Stanford University
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16568

FR-J F-Track 1 Ethical and Fair AI for Healthcare Q & A
Q & APresented by
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VLID: 16569