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 5.0 (higher is better), with 1 responding
VLID: 16513
![](//assets.vl.aapm.org/vl/2022/FAI/0-16514-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16515-Obcemea.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16516-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16517-Xing.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16518-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16519-Lee.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16520-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16521-Jaffray.jpg)
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 3.0 (higher is better), with 1 responding
VLID: 16521
![](//assets.vl.aapm.org/vl/2022/FAI/0-16522-Q&A.jpg)
TH-E T-Track 1 AI Infrastructure Needs for Biomedical Research Q & A
Q & APresented by
This presentation has an average satisfaction 3.0 (higher is better), with 1 responding
VLID: 16522
![](//assets.vl.aapm.org/vl/2022/FAI/0-16523-Zaharia.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16524-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16525-Chaudhari.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16526-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16527-Dempsey.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16528-Q&A.jpg)
TH-H T-Track 1 AI in MRI-guided Radiation Therapy Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16528
![](//assets.vl.aapm.org/vl/2022/FAI/0-16529-Fuller.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16530-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16538-Langlotz.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16539-Obcemea.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16540-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16541-Xing.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16542-Lee.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16543-Jaffray.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16544-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16545-Zaharia.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16546-Chaudhari.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16547-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16562-Chen.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16563-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16560-Wang.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16561-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16558-Jia.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16559-Q&A.jpg)
FR-C F-Track 1 Deep Learning for RT Treatment Planning Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16559
![](//assets.vl.aapm.org/vl/2022/FAI/0-16548-Gu.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16549-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16550-El Naqa.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16551-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16564-Wiersma.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16565-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16566-Valdes.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16567-Q&A.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16568-Magnus.jpg)
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
![](//assets.vl.aapm.org/vl/2022/FAI/0-16569-Q&A.jpg)
FR-J F-Track 1 Ethical and Fair AI for Healthcare Q & A
Q & APresented by
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 16569