He analysed the flow of blood around the heart, makingthe world’s first post-mortem diagnosis of arteriosclerosis, and worked outhow the aortic valve manages the turbulence of rushing blood.
46 Matching Annotations
- Jul 2025
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Local file Local file
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- May 2025
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www.cmarix.com www.cmarix.com
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AI skin analysis technology provides deeply personalized customer journeys that traditional approaches simply cannot recreate. With its ability to analyze various skin parameters at the same time, Haut.AI is able to identify specific concerns and recommend targeted products or treatment processes.
Unlock smarter beauty tech with Haut.AI integration services. From AI skin analysis to AI dermatology technology and skin condition detection, empower your health and beauty app with personalized, data-driven skincare insights. Partner with CMARIX to lead in AI-powered wellness solutions.
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- Mar 2024
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www.russellbeattie.com www.russellbeattie.com
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The problem is that HTML can now do so much, that any attempts to create a consumer-focused app to edit it soon get unfocused and unusable.
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- Feb 2024
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academic.oup.com academic.oup.com
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This was the stethoscope, the invention of R. T. H. Laennec (1781–1826), one of the most complex and gifted of the French clinicians.
Essentially hearing and speaking are replaced by instruments/tools.
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- Apr 2023
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inflecthealth.medium.com inflecthealth.medium.com
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My experiment illustrated how the vast majority of any medical encounter is figuring out the correct patient narrative. If someone comes into my ER saying their wrist hurts, but not due to any recent accident, it could be a psychosomatic reaction after the patient’s grandson fell down, or it could be due to a sexually transmitted disease, or something else entirely. The art of medicine is extracting all the necessary information required to create the right narrative.
This is where complexity comes in, teasing out narratives and recombine them into probes, probing actions that may changes the weights of narratives and mental models held about a situation. Not diagnostics, but building the path towards diagnostics. Vgl [[Probe proberend handelen 20201111162752]] [[Vertelpunt 20201111170556]]
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- Apr 2022
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twitter.com twitter.com
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Nick Brown [@sTeamTraen]. (2022, January 7). RT with a better screenshot. Https://t.co/kYVXpmAC3t [Tweet]. Twitter. https://twitter.com/sTeamTraen/status/1479417464157093888
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- Jan 2022
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www.psychiatrictimes.com www.psychiatrictimes.com
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Differentiating PGD from MDD
differentiating PGD from MDD
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- Sep 2021
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www.nature.com www.nature.com
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Lee, J. W., Su, Y., Baloni, P., Chen, D., Pavlovitch-Bedzyk, A. J., Yuan, D., Duvvuri, V. R., Ng, R. H., Choi, J., Xie, J., Zhang, R., Murray, K., Kornilov, S., Smith, B., Magis, A. T., Hoon, D. S. B., Hadlock, J. J., Goldman, J. D., Price, N. D., … Heath, J. R. (2021). Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19. Nature Biotechnology, 1–11. https://doi.org/10.1038/s41587-021-01020-4
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- Jul 2021
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www.newscientist.com www.newscientist.com
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Roberts, M. (n.d.). Artificial intelligence has been of little use for diagnosing covid-19. New Scientist. Retrieved 24 May 2021, from https://www.newscientist.com/article/mg25033350-100-artificial-intelligence-has-been-of-little-use-for-diagnosing-covid-19/
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- May 2021
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twitter.com twitter.com
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Ashish K. Jha, MD, MPH. (2020, December 1). There is something funny happening with COVID hospitalizations Proportion of COVID pts getting hospitalized falling A lot Just recently My theory? As hospitals fill up, bar for admission rising A patient who might have been admitted 4 weeks ago may get sent home now Thread [Tweet]. @ashishkjha. https://twitter.com/ashishkjha/status/1333636841271078912
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- Apr 2021
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www.thelancet.com www.thelancet.com
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Østergaard, S. D., Schmidt, M., Horváth-Puhó, E., Thomsen, R. W., & Sørensen, H. T. (2021). Thromboembolism and the Oxford–AstraZeneca COVID-19 vaccine: Side-effect or coincidence? The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(21)00762-5
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- Mar 2021
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www.medrxiv.org www.medrxiv.org
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Levine-Tiefenbrun, M., Yelin, I., Uriel, H., Kuint, J., Schreiber, L., Herzel, E., Katz, R., Ben-Tov, A., Patalon, T., Chodick, G., & Kishony, R. (2020). Association of COVID-19 RT-qPCR test false-negative rate with patient age, sex and time since diagnosis. MedRxiv, 2020.10.30.20222935. https://doi.org/10.1101/2020.10.30.20222935
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- Feb 2021
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www.forbes.com www.forbes.com
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Cytokine storms also can be indicated by liver enzyme abnormalities.
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Luckily, the tests to diagnose cytokine storms are often cheap and readily available in hospitals.
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www.bmj.com www.bmj.com
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Group, B. M. J. P. (2021). Update to living systematic review on prediction models for diagnosis and prognosis of covid-19. BMJ, 372, n236. https://doi.org/10.1136/bmj.n236
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- Jan 2021
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covid-19.iza.org covid-19.iza.org
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Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
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- Oct 2020
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13749/
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- Sep 2020
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www.scientificamerican.com www.scientificamerican.com
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Daley, J. (n.d.). Millions of Rapid COVID-19 Antigen Tests May Help Fill the Testing Gap. Scientific American. Retrieved September 30, 2020, from https://www.scientificamerican.com/article/millions-of-rapid-covid-19-antigen-tests-may-help-fill-the-testing-gap/
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www.thelancet.com www.thelancet.com
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Wilkinson, Jack, Kellyn F. Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel Sippy, Marc de Kamps, et al. ‘Time to Reality Check the Promises of Machine Learning-Powered Precision Medicine’. The Lancet Digital Health 0, no. 0 (16 September 2020). https://doi.org/10.1016/S2589-7500(20)30200-4.
Tags
- machine learning powered precision medicine
- is:report
- clinical science
- prediction of individual responses
- lang:en
- revolution
- collaboration
- challenges
- clinical practice
- machine learning
- electronic health database
- improved diagnosis
- personalised medical approach
- algorithmic complexity
Annotators
URL
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www.thelancet.com www.thelancet.com
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Williams, R., Jenkins, D. A., Ashcroft, D. M., Brown, B., Campbell, S., Carr, M. J., Cheraghi-sohi, S., Kapur, N., Thomas, O., Webb, R. T., & Peek, N. (2020). Diagnosis of physical and mental health conditions in primary care during the COVID-19 pandemic: A retrospective cohort study. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30201-2
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twitter.com twitter.com
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Graham Cooke on Twitter. (n.d.). Twitter. Retrieved September 23, 2020, from https://twitter.com/grahamscooke/status/1308132497822281728
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www.nature.com www.nature.com
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Parthasarathy, S. (2020). More testing alone will not get us out of this pandemic. Nature, 585(7823), 8–8. https://doi.org/10.1038/d41586-020-02495-y
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www.scientificamerican.com www.scientificamerican.com
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Barber, C. (n.d.). COVID-19 Can Wreck Your Heart, Even if You Haven’t Had Any Symptoms. Scientific American. Retrieved September 1, 2020, from https://www.scientificamerican.com/article/covid-19-can-wreck-your-heart-even-if-you-havent-had-any-symptoms/
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- Aug 2020
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bjgp.org bjgp.org
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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www.thelancet.com www.thelancet.com
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Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., … Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: A modelling study. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30288-6
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psyarxiv.com psyarxiv.com
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Ophir, Yaakov, and Yaffa Shir Raz. ‘Manipulations and Spins in Attention Disorders Research: The Case of ADHD and COVID-19’. Preprint. PsyArXiv, 20 August 2020. https://doi.org/10.31234/osf.io/dmu4j.
Tags
- attention disorders
- over-diagnosis
- spins
- raise awareness
- poor methodologies
- bogus results
- over-medication
- over-treatment
- stimulants reduce risk
- adverse effects of medication
- ADHD
- COVID-19
- increased risk of infection
- biases
- transparent
- healthy scientific scepticism
- omissions
- lang:en
- attention disorders research
- in-depth inspection
- reliable
- is:preprint
- misrepresentations
- pharmaceutical industry
- inappropriate operational definitions
- manipulations
Annotators
URL
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www.cdc.gov www.cdc.gov
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Godfred-Cato, S. (2020). COVID-19–Associated Multisystem Inflammatory Syndrome in Children—United States, March–July 2020. MMWR. Morbidity and Mortality Weekly Report, 69. https://doi.org/10.15585/mmwr.mm6932e2
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Collins, G. S., & Wilkinson, J. (n.d.). Statistical issues in the development a COVID-19 prediction models. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.26390
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psyarxiv.com psyarxiv.com
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Patalay, P., & Fried, E. I. (2020, July 29). Prescribing measures: Unintended negative consequences of mandating standardized mental health measurement. https://doi.org/10.31234/osf.io/kfj5z
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- Jul 2020
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twitter.com twitter.com
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Maarten van Smeden on Twitter: “Let’s talk about the ‘risk factors’ for COVID-19 for a moment 1/n” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/maartenvsmeden/status/1249702560442785794
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- Jun 2020
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twitter.com twitter.com
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Hironori Funabiki on Twitter
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jamanetwork.com jamanetwork.com
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Chou, S.-C., Gondi, S., Baker, O., Venkatesh, A. K., & Schuur, J. D. (2018). Analysis of a Commercial Insurance Policy to Deny Coverage for Emergency Department Visits With Nonemergent Diagnoses. JAMA Network Open, 1(6), e183731. https://doi.org/10.1001/jamanetworkopen.2018.3731
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- May 2020
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annals.org annals.org
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Restrepo, D., Armstrong, K. A., & Metlay, J. P. (2020). Annals Clinical Decision Making: Avoiding Cognitive Errors in Clinical Decision Making. Annals of Internal Medicine. https://doi.org/10.7326/M19-3692
Tags
- is:article
- cognitive
- lang:en
- clinical
- diagnosis
- therapeutic option
- psychology
- misdiagnosis
- morbidity
- error
- decision-making
Annotators
URL
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www.bbc.com www.bbc.com
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“Thousands missing out on cancer diagnosis.” (2020, April 22). BBC News. https://www.bbc.com/news/health-52382303
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Mei, X., Lee, H.-C., Diao, K., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., Bernheim, A., Mani, V., Calcagno, C., Li, K., Li, S., Shan, H., Lv, J., Zhao, T., Xia, J., … Yang, Y. (2020). Artificial intelligence for rapid identification of the coronavirus disease 2019 (COVID-19). MedRxiv, 2020.04.12.20062661. https://doi.org/10.1101/2020.04.12.20062661
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thebulletin.org thebulletin.org
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Kim, H. (2020, March 20). South Korea learned its successful Covid-19 strategy from a previous coronavirus outbreak: MERS. Bulletin of the Atomic Scientists. https://thebulletin.org/2020/03/south-korea-learned-its-successful-covid-19-strategy-from-a-previous-coronavirus-outbreak-mers/
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www.thelancet.com www.thelancet.com
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Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579–1586. https://doi.org/10.1016/S0140-6736(20)30226-9
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www.apaservices.org www.apaservices.org
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Banks, G.G. & Butcher, C. (2020 April 17). Telehealth testing with children: Important factors to consider. American Psychological Association. https://www.apaservices.org/practice/legal/technology/telehealth-testing-children-covid-19
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Shweta, F., Murugadoss, K., Awasthi, S., Venkatakrishnan, A., Puranik, A., Kang, M., Pickering, B. W., O’Horo, J. C., Bauer, P. R., Razonable, R. R., Vergidis, P., Temesgen, Z., Rizza, S., Mahmood, M., Wilson, W. R., Challener, D., Anand, P., Liebers, M., Doctor, Z., … Badley, A. D. (2020). Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.04.19.20067660
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- Apr 2020
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www.bmj.com www.bmj.com
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Wynants, L., Van Calster, B., Bonten, M. M. J., Collins, G. S., Debray, T. P. A., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G. M., Riley, R. D., Schuit, E., Smits, L. J. M., Snell, K. I. E., Steyerberg, E. W., Wallisch, C., & van Smeden, M. (2020). Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. BMJ, m1328. https://doi.org/10.1136/bmj.m1328
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eppi.ioe.ac.uk eppi.ioe.ac.uk
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Evidence Tracker: COVID-19
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Janiaud, P., Axfors, C., Saccilotto, R., & Hemkens, L. (2020). COVID-evidence: A living database of trials on interventions for COVID-19. https://doi.org/10.17605/OSF.IO/GEHFX
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www.cambridge.org www.cambridge.org
Tags
- rule
- Korea
- is:article
- community
- control
- lang:en
- involvement
- diagnosis
- risk
- response
- communication
- outbreak
- COVID-19
- preparation
Annotators
URL
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- Mar 2020
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thehorse.com thehorse.com
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an abnormal noise from the upper airway might be audible during galloping, which usually is a sign that there is something amiss with the upper airway
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- Aug 2018
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www.numbeo.com www.numbeo.com
- Dec 2017
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mattheneus-healthcare.com mattheneus-healthcare.com
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G-DRG ( German Diagnosis Related Groups )
"Since patients within each category are clinically similar and are expected to use the same level of hospital resources"
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