• Comparing adenoma and polyp miss rates for total underwater colonoscopy versus standard CO2: a randomized controlled trial using a tandem colonoscopy approach 

  Anderson, Joseph C.; Kahi, Charles J.; Sullivan, Andrew; MacPhail, Margaret; Garcia, Jonathan; Rex, Douglas K. (Elsevier, 2018)

  Background and Aims Although water exchange may improve adenoma detection when compared to CO2, it is unclear whether water is a better medium to fill the lumen during withdrawal and visualize the mucosa. Total underwater ...
• RADIANS: A Multidisciplinary Central Nervous System Clinic Model for Radiation Oncology and Neurosurgery Practice 

  McClelland, Shearwood, III; Mitin, Timur; Jaboin, Jerry J.; Ciporen, Jeremy N. (Elsevier, 2019-02)

  Background Radiation therapy for central nervous system disease commonly involves collaboration between Radiation Oncology and Neurosurgery. We describe our early experience with a multidisciplinary clinic model. Methods In ...
• Leveraging the power of partnerships: spreading the vision for a population health care delivery model in western Kenya 

  Mercer, Tim; Gardner, Adrian; Andama, Benjamin; Chesoli, Cleophas; Christoffersen-Deb, Astrid; Dick, Jonathan; Einterz, Robert; Gray, Nick; Kimaiyo, Sylvester; Kamano, Jemima; Maritim, Beryl; Morehead, Kirk; Pastakia, Sonak; Ruhl, Laura; Songok, Julia; Laktabai, Jeremiah (BMC, 2018-05-08)

  BACKGROUND: The Academic Model Providing Access to Healthcare (AMPATH) has been a model academic partnership in global health for nearly three decades, leveraging the power of a public-sector academic medical center and ...
• Beyond Cans and Capacity Nonprofit Roles and Service Network Objectives in an Emergency Food Network 

  Levine Daniel, Jamie; Moulton, Stephanie (Wiley, 2017)

  Many essential public services are provided through networks of community‐based nonprofit organizations. Previous research has demonstrated that simply providing additional resources to these organizations is insufficient ...
• Review of constraints on vision-based gesture recognition for human–computer interaction 

  Chakraborty, Biplab Ketan; Sarma, Debajit; Bhuyan, M. K.; MacDorman, Karl F. (IEEE, 2018-01)

  The ability of computers to recognise hand gestures visually is essential for progress in human-computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. ...

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