Copeland, B. J. (2008, Oct. 07). Dendral – Expertsystem. [BlogPost] Retrieved from: https://www.britannica.com/technology/DENDRAL

Takács, A., Nagy, D. Á., Rudas, I., & Haidegger, T. (2016). Origins of surgical robotics: From space to the operating room. Acta Polytechnica Hungarica, 13(1), 13-30.

Copeland, B. J. (2008, Oct. 07). Mycin – Artificial Intelligence Program. [BlogPost] Retrieved from: https://www.britannica.com/technology/MYCIN

Maclin, P. S., Dempsey, J., Brooks, J., & Rand, J. (1991). Using neural networks to diagnose cancer. Journal of medical systems, 15(1), 11-19.

Simon, S. R., Kaushal, R., Cleary, P. D., Jenter, C. A., Volk, L. A., Orav, E. J., … & Bates, D. W. (2007). Physicians and electronic health records: a statewide survey. Archives of internal medicine, 167(5), 507-512.

Nelson, B. J., Kaliakatsos, I. K., & Abbott, J. J. (2010). Microrobots for minimally invasive medicine. Annual review of biomedical engineering, 12, 55-85.

Stumpe, M. & Peng, L. (2017, March 03). Assisting Pathologists in Detecting Cancer with Deep Learning. [BlogPost] Retrieved from: https://ai.googleblog.com/2017/03/assisting-pathologists-in-detecting.html

Phaneuf, A. (2019, July 19). Latest trends in medical monitoring devices and wearable health technology. [BlogPost] Retrieved from: https://www.businessinsider.com/wearable-technology-healthcare-medical-devices

Tech giants will battle over your health data

[1] See for example https://www.aidence.com/blogs/early-lung-cancer-detection-with-ai-a-guide-for-patients/

[2] https://ascension.org/about

[3] https://www.theguardian.com/technology/2019/nov/12/google-medical-data-project-nightingale-secret-transfer-us-health-information

[4] https://www.dhcs.ca.gov/formsandpubs/laws/hipaa/Pages/1.00WhatisHIPAA.aspx

[5] https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790

[6] https://www.nytimes.com/2019/11/11/business/google-ascension-health-data.html

[7] https://www.nationalreview.com/news/google-gathering-health-care-data-on-millions-of-americans-with-secret-project-nightingale/

[8] https://edition.cnn.com/2019/11/12/tech/google-project-nightingale-federal-inquiry/index.html

[9] https://www.theguardian.com/technology/2017/may/16/google-deepmind-16m-patient-record-deal-inappropriate-data-guardian-royal-free

[11] Nissenbaum, Helen. (2010). Privacy in Context – Technology, Policy, and the Integrity of Social Life.

[12] Zuiderveen Borgesius, F. J., Möller, J., Kruikemeier, S., Ó Fathaigh, R., Irion, K., Dobber, T., … de Vreese, C. (2018). Online Political Microtargeting: Promises and Threats for Democracy. Utrecht Law Review, 14(1), 82–96. DOI: http://doi.org/10.18352/ulr.420

[13] https://www.spiegel.de/netzwelt/netzpolitik/donald-trump-und-die-daten-ingenieure-endlich-eine-erklaerung-mit-der-alles-sinn-ergibt-a-1124439.html

[14] https://gdpr-info.eu/art-5-gdpr/

[15] See page 77 of Chris Jay Hoofnagle, Bart van der Sloot & Frederik Zuiderveen Borgesius (2019) The European Union general data protection regulation: what it is and what it means, Information & Communications Technology Law, 28:1, 65-98, DOI: 10.1080/13600834.2019.1573501

[16] Sharon, T. (2016). The Googlization of health research: From disruptive innovation to disruptive ethics. Personalized Medicine, 13(6), 563-574. DOI: https://doi.org/10.2217/pme-2016-0057

[17] https://www.theverge.com/2019/11/1/20943318/google-fitbit-acquisition-fitness-tracker-announcement

[18] Turow, Joseph & Hennessy, Michael. (2015). The Tradeoff Fallacy: How Marketers are Misrepresenting American Consumers and Opening Them Up to Exploitation. SSRN Electronic Journal. 10.2139/ssrn.2820060.

[19] https://www.faz.net/aktuell/feuilleton/debatten/ueberwachung/information-consumerism-the-price-of-hypocrisy-12292374-p1.html

[20] https://www.asr.nl/vitality/

Mapping the linguistic decline in dementia patients with Machine Learning

[1] Kemper S, Thompson M, Marquis J. Longitudinal change in language production: Effects of aging and dementia on grammatical complexity and propositional content. Psychology and Aging. 2001;16:600–614

[2] For more details, see http://www.tappastudie.nl/

[3] Pakhomov, S. V. S., Smith, G. E., Chacon, D., Feliciano, Y., Graff-Radford, N., Caselli, R., & Knopman, D. S. (2010). Computerized analysis of speech and language to identify psycholinguistic correlates of frontotemporal lobar degeneration. Cognitive and Behavioral Neurology?: Official Journal of the Society for Behavioral and Cognitive Neurology, 23(3), 165–77

Bodylanguage – how AI can help tell the story of a deceased

Additional Info

1 Mean segmentation accuracy as measured by Dice-coefficient
2 Cells that produce mucus and other fluids
3 Mainly used frameworks: VGG, ResNet, Inception

Turning attends

Pictures: Thirza Dado





Isaac Godfried

Towards Data Science article of ML in Health by Isaac Godfried

A curated list of AI in healthcare by Isaac Godfried: GitHub

MIT course


AI/Data Science Podcast by Cassie Kozyrkov

Fruitpunch Hackathon

Deep Medicine – Eric Topol (Book)


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