Categories
AI clinical

WCPT poster: Introduction to machine learning in healthcare

It’s a bit content-heavy and not as graphic-y as I’d like but c’est la vie.

I’m quite proud of what I think is a novel innovation in poster design; the addition of the tl;dr column before the findings. In other words, if you only have 30 seconds to look at the poster then that’s the bit you want to focus on. Related to this, I’ve also moved the Background, Methods and Conclusion sections to the bottom and made them smaller so as to emphasise the Findings, which are placed first.

Here is the tl;dr version. Or, my poster in 8 tweets:

  • Aim: The aim of the study was to identify the ways in which machine learning algorithms are being used across the health sector that may impact physiotherapy practice.
  • Image recognition: Millions of patient scans can be analysed in seconds, and diagnoses made by non-specialists via mobile phones, with lower rates of error than humans are capable of.
  • Video analysis: Constant video surveillance of patients will alert providers of those at risk of falling, as well as make early diagnoses of movement-related disorders.
  • Natural language processing: Unstructured, freeform clinical notes will be converted into structured data that can be analysed, leading to increased accuracy in data capture and diagnosis.
  • Robotics: Autonomous robots will assist with physical tasks like patient transportation and possibly even take over manual therapy tasks from clinicians.
  • Expert systems: Knowing things about conditions will become less important than knowing when to trust outputs from clinical decision support systems.
  • Prediction: Clinicians should learn how to integrate the predictions of machine learning algorithms with human values in order to make better clinical decisions in partnership with AI-based systems.
  • Conclusion: The challenge we face is to bring together computers and humans in ways that enhance human well-being, augment human ability and expand human capacity.
My full-size poster on machine learning in healthcare for the 2019 WCPT conference in Geneva.

Reference list (download this list as a Word document)

  1. Yang, C. C., & Veltri, P. (2015). Intelligent healthcare informatics in big data era. Artificial Intelligence in Medicine, 65(2), 75–77. https://doi.org/10.1016/j.artmed.2015.08.002
  2. Qayyum, A., Anwar, S. M., Awais, M., & Majid, M. (2017). Medical image retrieval using deep convolutional neural network. Neurocomputing, 266, 8–20. https://doi.org/10.1016/j.neucom.2017.05.025
  3. Li, Z., Zhang, X., Müller, H., & Zhang, S. (2018). Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Analysis, 43, 66–84. https://doi.org/10.1016/j.media.2017.09.007
  4. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118. https://doi.org/10.1038/nature21056
  5. Pratt, H., Coenen, F., Broadbent, D. M., Harding, S. P., & Zheng, Y. (2016). Convolutional Neural Networks for Diabetic Retinopathy. Procedia Computer Science, 90, 200–205. https://doi.org/10.1016/j.procs.2016.07.014
  6. Ramzan, M., Shafique, A., Kashif, M., & Umer, M. (2017). Gait Identification using Neural Network. International Journal of Advanced Computer Science and Applications, 8(9). https://doi.org/10.14569/IJACSA.2017.080909
  7. Kidziński, Ł., Delp, S., & Schwartz, M. (2019). Automatic real-time gait event detection in children using deep neural networks. PLOS ONE, 14(1), e0211466. https://doi.org/10.1371/journal.pone.0211466
  8. Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2019). Explaining the Unique Nature of Individual Gait Patterns with Deep Learning. Scientific Reports, 9(1), 2391. https://doi.org/10.1038/s41598-019-38748-8
  9. Cai, T., Giannopoulos, A. A., Yu, S., Kelil, T., Ripley, B., Kumamaru, K. K., … Mitsouras, D. (2016). Natural Language Processing Technologies in Radiology Research and Clinical Applications. RadioGraphics, 36(1), 176–191. https://doi.org/10.1148/rg.2016150080
  10. Jackson, R. G., Patel, R., Jayatilleke, N., Kolliakou, A., Ball, M., Gorrell, G., … Stewart, R. (2017). Natural language processing to extract symptoms of severe mental illness from clinical text: The Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project. BMJ Open, 7(1), e012012. https://doi.org/10.1136/bmjopen-2016-012012
  11. Kreimeyer, K., Foster, M., Pandey, A., Arya, N., Halford, G., Jones, S. F., … Botsis, T. (2017). Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review. Journal of Biomedical Informatics, 73, 14–29. https://doi.org/10.1016/j.jbi.2017.07.012
  12. Montenegro, J. L. Z., Da Costa, C. A., & Righi, R. da R. (2019). Survey of Conversational Agents in Health. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2019.03.054
  13. Carrell, D. S., Schoen, R. E., Leffler, D. A., Morris, M., Rose, S., Baer, A., … Mehrotra, A. (2017). Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings. Journal of the American Medical Informatics Association, 24(5), 986–991. https://doi.org/10.1093/jamia/ocx039
  14. Oña, E. D., Cano-de la Cuerda, R., Sánchez-Herrera, P., Balaguer, C., & Jardón, A. (2018). A Review of Robotics in Neurorehabilitation: Towards an Automated Process for Upper Limb. Journal of Healthcare Engineering, 2018, 1–19. https://doi.org/10.1155/2018/9758939
  15. Krebs, H. I., & Volpe, B. T. (2015). Robotics: A Rehabilitation Modality. Current Physical Medicine and Rehabilitation Reports, 3(4), 243–247. https://doi.org/10.1007/s40141-015-0101-6
  16. Leng, M., Liu, P., Zhang, P., Hu, M., Zhou, H., Li, G., … Chen, L. (2019). Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials. Psychiatry Research, 271, 516–525. https://doi.org/10.1016/j.psychres.2018.12.032
  17. Jennifer Piatt, P., Shinichi Nagata, M. S., Selma Šabanović, P., Wan-Ling Cheng, M. S., Casey Bennett, P., Hee Rin Lee, M. S., & David Hakken, P. (2017). Companionship with a robot? Therapists’ perspectives on socially assistive robots as therapeutic interventions in community mental health for older adults. American Journal of Recreation Therapy, 15(4), 29–39. https://doi.org/10.5055/ajrt.2016.0117
  18. Troccaz, J., Dagnino, G., & Yang, G.-Z. (2019). Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation. Annual Review of Biomedical Engineering, 21(1). https://doi.org/10.1146/annurev-bioeng-060418-052502
  19. Riek, L. D. (2017). Healthcare Robotics. ArXiv:1704.03931 [Cs]. Retrieved from http://arxiv.org/abs/1704.03931
  20. Kappassov, Z., Corrales, J.-A., & Perdereau, V. (2015). Tactile sensing in dexterous robot hands — Review. Robotics and Autonomous Systems, 74, 195–220. https://doi.org/10.1016/j.robot.2015.07.015
  21. Choi, C., Schwarting, W., DelPreto, J., & Rus, D. (2018). Learning Object Grasping for Soft Robot Hands. IEEE Robotics and Automation Letters, 3(3), 2370–2377. https://doi.org/10.1109/LRA.2018.2810544
  22. Shortliffe, E., & Sepulveda, M. (2018). Clinical Decision Support in the Era of Artificial Intelligence. Journal of the American Medical Association.
  23. Attema, T., Mancini, E., Spini, G., Abspoel, M., de Gier, J., Fehr, S., … Sloot, P. M. A. (n.d.). A new approach to privacy-preserving clinical decision support systems. 15.
  24. Castaneda, C., Nalley, K., Mannion, C., Bhattacharyya, P., Blake, P., Pecora, A., … Suh, K. S. (2015). Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of Clinical Bioinformatics, 5(1). https://doi.org/10.1186/s13336-015-0019-3
  25. Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018). Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data. JAMA Internal Medicine, 178(11), 1544. https://doi.org/10.1001/jamainternmed.2018.3763
  26. Kliegr, T., Bahník, Š., & Fürnkranz, J. (2018). A review of possible effects of cognitive biases on interpretation of rule-based machine learning models. ArXiv:1804.02969 [Cs, Stat]. Retrieved from http://arxiv.org/abs/1804.02969
  27. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. https://doi.org/10.1371/journal.pone.0174944
  28. Suresh, H., Hunt, N., Johnson, A., Celi, L. A., Szolovits, P., & Ghassemi, M. (2017). Clinical Intervention Prediction and Understanding using Deep Networks. ArXiv:1705.08498 [Cs]. Retrieved from http://arxiv.org/abs/1705.08498
  29. Vayena, E., Blasimme, A., & Cohen, I. G. (2018). Machine learning in medicine: Addressing ethical challenges. PLOS Medicine, 15(11), e1002689. https://doi.org/10.1371/journal.pmed.1002689
  30. Verghese, A., Shah, N. H., & Harrington, R. A. (2018). What This Computer Needs Is a Physician: Humanism and Artificial Intelligence. JAMA, 319(1), 19. https://doi.org/10.1001/jama.2017.19198
Categories
conference open access physiotherapy

WCPT course: Creating and running an open online course

I’m in Singapore for the 2015 World Confederation for Physical Therapy Congress, which is the largest gathering of physiotherapists in the world. I’ve never been to a WCPT Congress before, so I’ve really been looking forward to this for a while now.

Tomorrow I’m presenting a half day course with Tony and Rachael Lowe from Physiopedia, called “Creating open online courses“. We’re going to try and figure out, together with participants, if there’s a place for these kinds of online (or blended) courses in formal physiotherapy education. I believe that it was one of the first courses to sell out at the conference, so there’s definitely an interest in the topic.

Selection_002

We’ve set up our workshop so that the major concepts we’d like to cover are presented, not as PowerPoint slides but as an online course that anyone can work through (see image below). We included our topics, learning outcomes, content overviews and resources on the wiki at Physiopedia, as well as set up a shared online workspace in Google Drive. Course participants will work through the topics in small groups, using the topics in the online course as inputs for discussion, and then collaboratively document what they are thinking and learning during the course. We will act as facilitators and guides, presenting the initial concepts, adding a few thoughts from our own experiences and then facilitating group discussions. We thought that this might be an interesting approach (for this topic in particular) where instead of participants simply being introduced to the concepts involved in open online learning, they actually work in that space themselves.

Selection_004

It’s a bit of an experiment so we’d really like to hear comments and feedback, not only from course participants but anyone else at the Congress who thinks that this might be a useful way to run future workshops. The hashtag for the workshop is #wcptooc, so please feel free to send a comment or question, whether you’re signed up for the course or not. We’d love to be able to incorporate thoughts and ideas from people who aren’t in the room.

On a related but separate note, part of the reason for me being here is also a funded research visit to try and set up meetings with potential collaborators for our International Ethics Project. If you’re interested in collaborating on an international research project that aims to develop and run a course in professional ethics across multiple institutions, I’d love to hear from you (there’s a Contact page on the site).

Categories
conference physiotherapy research social media

Reflective blogging in an Evidence-based practice module

During 2010 a colleague and I studied the use of blogging to facilitate reflection among postgraduate physiotherapy students as it related to the process of learning evidence-based practice. We’re in the last stages of writing the article and have developed a poster that will be presented at the World Congress of Physical Therapy in Amsterdam during June.

Here’s the poster:

Frantz & Rowe – Blogging to Facilitate Reflection in EBP

Categories
twitter feed

Twitter Weekly Updates for 2011-01-31

  • @damianrice Not sure what you mean 🙂 #
  • @EranEyal no problem, talk sounds interesting, u know the URL? Would like to attend if possible #
  • @gavdavis Thanks man, now we just have to get funding so that everyone can go 🙂 #
  • 8 out of 9 abstracts submitted from UWC physio dept accepted for presentation at #WCPT congress. I’m just saying… #
  • Just found out my abstract was accepted for the #WCPT congress in Amsterdam in June http://bit.ly/fLzPms. Yay me! #
  • RT @daveduarte: RT @huddlemind: Blog post: “Your Tweets, Legalized”: http://bit.ly/gDvtVq #creativecommons /thanks @MaxKaizen @paulscott56 #
  • RT @eraneyal will be doing a TED talk @ TEDx Cape Town 26 March. A study on how our Internet Social anthropology mimics that of our species #
  • @mrgunn good point, will add a line to my bio mentioning the CC license. Not sure how else, unless u add to individual tweets? #
  • @sbestbier thanks man, much appreciated #
  • I have just licensed my tweet stream! Would you like to do the same? @ccsa http://tinyurl.com/4btb55f #
  • RT @paulscott56: @justinspratt I would like to invite you to license your tweets http://tinyurl.com/4nyw9hq <-Very cool, thanks #
  • @taravs84 Got back from writing retreat late yesterday afternoon. Back at work now. Will reply to email re. camping asap. #
  • @taravs84 You have mad chair building skills 🙂 #
  • What is it with researchers and peer review? http://ow.ly/1s0ebT #
  • Social presence supports cognitive presence http://ow.ly/1s0ebv. Saw evidence of this in a wiki-based assignment I ran last year #
  • A Future Without Personal History http://ow.ly/1s0e8u. Makes a good point re. self-archiving of personal digital communication #
  • World’s Med Students Declare for Open Access http://ow.ly/1s0e7M. Will someone tell management at SASP, cause they’re not listening to me #
  • Why Using 2 or 3 Simple Words May Be the Best Password Protection of All http://ow.ly/1s0e7p. Interesting #
  • How to Fund Open Educational Resources: Department of Education or Kickstarter? http://ow.ly/1s0e6X #
  • PHD comic: ‘Relationship status’ http://bit.ly/fg3kYF #
Categories
twitter feed

Twitter Weekly Updates for 2011-01-10

Categories
twitter feed

Twitter Weekly Updates for 2010-09-13

  • More on online learning & the visually impaired. Useful links 4 anyone working with learners who have visual impairments http://ow.ly/1qQGws #
  • Gilly Salmon’s 5 stage model http://ow.ly/1qQGsw #
  • Social Learning in the Positivist Paradigm http://ow.ly/2D2kT #
  • Presentation: A few minutes with John Cleese on creativity http://ow.ly/1qQDg5 #
  • Multitasking Lowers Academic Performance http://ow.ly/1qQDfL #
  • Dear Baby Boomers, Gen Xers, Gen Yers … Can We Please Move On? http://ow.ly/1qQDfa #
  • Documents and Data… http://ow.ly/1qQy7b #
  • As clinicians we tend 2 focus on results that are easy to measure e.g. ROM, & ignore ones that are hard e.g. learning, hope, quality of life #
  • Strange how some people’s first intuition re. open learning practices is that their colleagues will “steal from them”? #
  • Presentation on blended learning in clinical education for SASP went well, good discussion afterwards, some resistance from academics #
  • Reading Social Networks and Practice Knowlege (WCPT abstract) on Scribd http://scr.bi/cxhwWm #readcast #
  • Published Social Networks and Practice Knowlege (WCPT abstract) on Scribd http://scr.bi/cxhwWm #readcast #
  • RT @francesbell: 3 ALT Learning Technologisits of the Year 😉 http://flic.kr/p/8zx9ip #
  • @cristinacost Your colleagues…sure it’s them 🙂 in reply to cristinacost #
  • Reflections on Blogging | Virtual Canuck http://bit.ly/awblvh #
  • Is the Lecture Dead? http://ow.ly/1qQ0oP #
  • Can MOOCs make learning scale? Dont assume that learning comes from the teacher http://ow.ly/1qQ0nY #
  • IBM Helps Tennis Fans “See Through Walls” with Augmented Reality http://ow.ly/1qQ0hf #
  • ResearchGATE Offers Social Networking for Scholars and Scientists http://ow.ly/1qQ0gf #
  • RT @SalfordPGRs: Huge congratulations to Cristinacost on ALTC Learning Technologis award!! #
  • Was away the whole of last week planning for next year, making 2 big curricular changes, combining some theory subjects, and moving to OSCEs #
  • Just finished a week of assisting with clinical exams for #Stellenbosch good learning experience, one learns so much from colleagues #