Synho Do, PhD
@SynhoDo
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Director Lab of Medical Imaging and Computation, Assistant Professor MGH and Harvard Medical School, Affiliated Faculty Kempner Institute, Harvard University
Boston, MA
Joined December 2013
Microbiome research is a sea of data. We built a map. MINERVA—microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations https://t.co/nWBQvN2xKH Platform:
academic.oup.com
Abstract. Bacterial pathogens contribute significantly to the global burden of disease. Understanding their complex interactions with human health is essen
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Commentary on risk score thresholds to evaluate performance of a commercial #AI system for breast cancer detection and diagnosis https://t.co/GDJZcjZZNM
@SynhoDo @MGHImaging #MammoRad #cancer #ML
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Trade-offs between sensitivity and specificity when deploying a #BreastCancer AI system in clinical practice https://t.co/GDJZcjZZNM
@SynhoDo @MGHImaging #cancer #DeepLearning #ML
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Trade-offs between sensitivity and specificity when deploying a #BreastCancer AI system in clinical practice https://t.co/GDJZcjZZNM
@SynhoDo @MGHImaging #MammoRad #DeepLearning #AI
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Fuel your passion for healthcare innovation at Mass General Brigham MESH Core! Join us in Boston May 20-21 for two days of learning, networking, and key insights in our peer-reviewed innovation course. @MGBInnovation @MassGenBrigham Learn more:
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#AI needs to be safe for clinical care. @SynhoDo talks about novel approaches and challenges to making AI in medicine a reality now in @MGBInnovation Grand Rounds @MGHImaging @mgbmeshnetwork
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Join us on Sept 13 for Mass General Brigham Innovation Grand Rounds. @SynhoDo will share his journey through research & commercial translation of several #ArtificialIntelligence-based products for clinical care @MassGenBrigham and beyond! Register: https://t.co/DYhEv9Rp4M
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📅 Join @Radiology_AI for the Sept. #RadAIchat this Wed. Sept. 6th at 8 PM ET on "Quantifying uncertainty in #radiology #AI" moderated by @bcalvesnatlia and featuring @ShahriarFaghani @MDohopolski @SynhoDo #radiomics #AI #ML #DL #radres @RSNA @cekahn @HElhalawaniMD
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When the previously developed #Cryptographic technologies are tested and implemented in the healthcare data flow, value generation through AI algorithm will become possible. #AI #cloud #cloudsecurity @SynhoDo @harvardmed
https://t.co/njUVJI6tH8
healthtechmagazines.com
he advantage of the cloud is its easy scalability. Users do not have to worry about hardware problems. There are also various models of the
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Congrats DSO members @SynhoDo, Ph.D., Ramon Gonzalez, MD, Ph.D. + @MichaelLevMD, MD, for receiving a US patent for explainable artificial intelligence that accurately diagnoses brain hemorrhage even with a small dataset developed at Mass General Hospital! https://t.co/8Eu3hHmlOn
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Fantastic talk by @SynhoDo at the #WMIF on SafeAI, and AI to reduce medical errors @MGBInnovation @MGHImaging
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At #WMIF2023, Synho Do, PhD @SynhoDo @MGHImaging shares a First Look at SafeAI, and the potential for #AI to improve #healthcare, enhance decision-making and stremline provider workflow. #ArtificialIntelligence #AIinHealthcare
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Our perspective on the following questions was published in #NatureBME. 1. Can we develop AI that doesn't make mistakes? 2. Can we find cases where AI is not confident? 3. Could we be aware of the weaknesses of AI in advance? https://t.co/CvH60hFb9D
#MGB #HMS #AI
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Congratulations to the @MassGenBrigham team for their recent publication in Nature Scientific Reports! @SynhoDo Read article here: https://t.co/4jULHFeATZ
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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
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Congratulations to @SynhoDo + coauthors for their new paper in @NatureComms! Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model #machinelearning @MGH_RI @MGHImaging
Read my latest #research on #ExplainableAI,#Autolabeling, and #qSim, published with @SpringerNature in @NatureComms. Read here: https://t.co/bBJmwRJcUt
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Read my latest #research on #ExplainableAI,#Autolabeling, and #qSim, published with @SpringerNature in @NatureComms. Read here: https://t.co/bBJmwRJcUt
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AddThis | Home https://t.co/gOMu2ZMNhb How can AI effectively handle diagnosing CNVs with genomic sequencing results that take an incredibly long time? "CNV extraction, transformation, and loading AI (CNV-ETLAI)"
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