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International Conference on Artificial Intelligence in Medicine

AIME 2022: Artificial Intelligence in Medicine pp 431–435Cite as

Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13263))

Abstract

It is challenging for programmers to build a mobile health app that is rich in AI features, and near impossible for non-technical users such as domain experts and patients. However, it is exactly these users that possess the domain knowledge and experience on how to best manage health conditions, and how AI features can help achieve that goal. End-user development environments, such as MIT Punya, can help lay users to better collaborate on mobile health apps; and even open the door for these users, given some training, to prototype their own mobile health apps. As a subfield of AI, Semantic Web technology can help with integrating online data sources with patient health data, and reasoning over the integrated data to issue smart health recommendations.

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Notes

  1. 1.

    https://punya.mit.edu/;http://punya.appinventor.mit.edu/.

  2. 2.

    https://community.appinventor.mit.edu/.

  3. 3.

    A video of a portion of the demo is available at https://www.youtube.com/watch?v=fFv-sPmd_G4.

References

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, 02139, USA

    Evan Patton & Lalana Kagal

  2. Dalhousie University, Halifax, NS, B3H 4R2, Canada

    William Van Woensel

  3. Rensselaer Polytechnic Institute, Troy, NY, 12180, USA

    Oshani Seneviratne

  4. LUM University “Giuseppe Degennaro”, 70010, Casamassima, BA, Italy

    Giuseppe Loseto

  5. Polytechnic University of Bari, 70125, Bari, BA, Italy

    Floriano Scioscia

Authors
  1. Evan Patton
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  2. William Van Woensel
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  3. Oshani Seneviratne
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  4. Giuseppe Loseto
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  5. Floriano Scioscia
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  6. Lalana Kagal
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Corresponding author

Correspondence to William Van Woensel .

Editor information

Editors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Martin Michalowski

  2. Dalhousie University, Halifax, NS, Canada

    Syed Sibte Raza Abidi

  3. Dalhousie University, Halifax, NS, Canada

    Samina Abidi

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Patton, E., Van Woensel, W., Seneviratne, O., Loseto, G., Scioscia, F., Kagal, L. (2022). Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes. In: Michalowski, M., Abidi, S.S.R., Abidi, S. (eds) Artificial Intelligence in Medicine. AIME 2022. Lecture Notes in Computer Science(), vol 13263. Springer, Cham. https://doi.org/10.1007/978-3-031-09342-5_45

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  • DOI: https://doi.org/10.1007/978-3-031-09342-5_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09341-8

  • Online ISBN: 978-3-031-09342-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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