machine learning

From Aaushi
Jump to navigation Jump to search

Clinical significance

  • machine learning algorithms detected diabetic retinopathy from retinal fundus photographs with > 87% sensitivity & specificity[1]
  • some of the ethical challenges inherent in implementing machine learning in health care may be straightforward, whereas others may have less obvious risks but raise broader ethical concerns
  • machine learning can be useful for developing disease models from big data when it is not known in advance which variables are important[3]
  • a large-scale screen employing machine learning yielded 8 potential antibiotics with new mechanisms of action[4]

More general terms

References

  1. 1.0 1.1 Gulshan V, Peng L,Coram M et al Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. Published online November 29, 2016. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/27898976 <Internet> http://jamanetwork.com/journals/jama/fullarticle/2588763
    Wong TY, Bressler NM Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening. JAMA. Published online November 29, 2016. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/27898977 <Internet> http://jamanetwork.com/journals/jama/fullarticle/2588762
    Beam AL, Kohane IS. Translating Artificial Intelligence Into Clinical Care. JAMA. Published online November 29, 2016. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/27898974 <Internet> http://jamanetwork.com/journals/jama/fullarticle/2588761
    Jha S, Topol EJ Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists. JAMA. Published online November 29, 2016. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/27898975 <Internet> http://jamanetwork.com/journals/jama/fullarticle/2588764
  2. Char DS, Shah NH, Magnus D. Implementing Machine Learning in Health Care - Addressing Ethical Challenges. N Engl J Med 2018; 378:981-983. March 15, 2018 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/29539284 <Internet> http://www.nejm.org/doi/full/10.1056/NEJMp1714229
  3. 3.0 3.1 Beam AL, Kohane IS Big Data and Machine Learning in Health Care. JAMA. 2018;319(13):1317-1318. April 3, 2018 PMID: https://www.ncbi.nlm.nih.gov/pubmed/29532063 https://jamanetwork.com/journals/jama/fullarticle/2675024
  4. 4.0 4.1 Stokes JM et al. A deep learning approach to antibiotic discovery. Cell 2020 Feb 20; 180:688 PMID: https://www.ncbi.nlm.nih.gov/pubmed/32084340