artificial intelligence (AI)

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Principle

  • each problem requires some degree of understanding of the problem
  • big data are too large & heterogeneous, & change too quickly, to be stored, analyzed, & used
  • interactions between physicians & data scientists are needed to enable clinically meaningful automated & predictive data analysis
  • computer program able to classify skin lesions as benign or malignant, & whether they would need biopsy as well as board-certified dermatologists[3]

Notes

More general terms

More specific terms

References

  1. ↑ Krittanawong C. The rise of artificial intelligence and the uncertain future for physicians. Eur J Intern Med. 2017 Jun 23. pii: S0953-6205(17)30261-3. PMID: https://www.ncbi.nlm.nih.gov/pubmed/28651747
  2. ↑ Krittanawong C, Zhang H, Wang Z, Aydar M, Kitai T. Artificial Intelligence in Precision Cardiovascular Medicine. J Am Coll Cardiol. 2017 May 30;69(21):2657-2664. Review. PMID: https://www.ncbi.nlm.nih.gov/pubmed/28545640
  3. ↑ 3.0 3.1 Hilton L The Artificial Brain as Doctor. AI equals dermatologists in identifying lesions. MedPage Today. Dermatology Times. January 15, 2018 https://www.medpagetoday.com/dermatology/generaldermatology/70513
    Esteva A et al Dermatologist-level classification of skin cancer with deep neural networks. Nature 2017; 542: 115-118 PMID: https://www.ncbi.nlm.nih.gov/pubmed/28117445
  4. ↑ 4.0 4.1 4.2 Davenport TH, Glover WJ. Artificial Intelligence and the Augmentation of Health Care Decision-Making. NEJM Catalyst. June 19, 2018 https://catalyst.nejm.org/ai-technologies-augmentation-healthcare-decisions/
  5. ↑ Liu X, Faes L, Kale AU et al A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health. Sept 25, 2019 Not indexed in PubMed https://www.thelancet.com/journals/landig/article/PIIS2589-7500(19)30123-2/fulltext
    Cook TS Human versus machine in medicine: can scientific literature answer the question?. The Lancet Digital Health. Sept 25, 2019 Not indexed in PubMed https://www.sciencedirect.com/science/article/pii/S2589750019301244
  6. ↑ 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
  7. ↑ Vaishampayan U Using Artificial Intelligence to Personalize Therapy and Individual Level of Outcome Prediction. Investigations like these will improve the accuracy of our predictions and strengthen optimal therapeutic decisions. MedPage Today. ASCO Reading Room. June 10, 2021 https://www.medpagetoday.com/reading-room/asco/immunotherapy/93023
  8. ↑ 8.0 8.1 8.2 Tunyasuvunakool K, Adler J, Wu Z et al. Highly accurate protein structure prediction for the human proteome. Nature 2021 Jul 22; [e-pub]. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34293799 https://www.nature.com/articles/s41586-021-03828-1
    Jumper J, Evans R, Pritzel A et al. Highly accurate protein structure prediction with AlphaFold. Nature 2021 Jul 15; [e-pub]. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34265844 https://www.nature.com/articles/s41586-021-03819-2
    Callaway E. Deepmind's AI predicts structures for a vast trove of proteins. Nature 2021 Jul 29; 595:635. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34294928 https://www.nature.com/articles/d41586-021-02025-4
    The Editors. Artificial intelligence in structural biology is here to stay. Nature 2021 Jul 29; 595:625. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34316055 https://www.nature.com/articles/d41586-021-02037-0
  9. ↑ Cao L et al. Design of protein-binding proteins from the target structure alone. Nature 2022 May; 605:551. PMID: https://www.ncbi.nlm.nih.gov/pubmed/35332283 PMCID: PMC9117152 Free PMC article https://www.nature.com/articles/s41586-022-04654-9
    Service RF. Software-designed miniproteins could create new class of drugs. Science 2022 Apr; 376:17. PMID: https://www.ncbi.nlm.nih.gov/pubmed/35357932 https://www.science.org/content/article/software-designed-miniproteins-could-create-new-class-drugs
  10. ↑ Cutler DM What Artificial Intelligence Means for Health Care. JAMA Health Forum. 2023;4(7):e232652 PMID: https://www.ncbi.nlm.nih.gov/pubmed/37410474 Free article https://jamanetwork.com/journals/jama-health-forum/fullarticle/2807176
  11. ↑ Voelker R. The Promise and Pitfalls of AI in the Complex World of Diagnosis, Treatment, and Disease Management. JAMA. Published online September 27, 2023 PMID: https://www.ncbi.nlm.nih.gov/pubmed/37755919 https://jamanetwork.com/journals/jama/fullarticle/2810236
  12. ↑ Voelker R, Hswen Y Medical News & Perspectives | AI in Medicine Clinical AI Tools Must Be Fed the Right Data, Stanford Health Care's Chief Data Scientist Says. JAMA. Published online November 15, 2023 PMID: https://www.ncbi.nlm.nih.gov/pubmed/37966811 https://jamanetwork.com/journals/jama/fullarticle/2812191
  13. ↑ 13.0 13.1 Weiss J, et al. Deep learning to estimate cardiovascular risk from chest radiographs: A risk prediction study. Ann Intern Med 2024 Mar 26; [e-pub] PMID: https://www.ncbi.nlm.nih.gov/pubmed/38527287 https://www.acpjournals.org/doi/10.7326/M23-1898
  14. ↑ 14.0 14.1 Marshall L New Transparent AI Predicts Breast Cancer 5 Years Out. Medscape. March 21, 2024 https://www.medscape.com/viewarticle/new-transparent-ai-predicts-breast-cancer-5-years-out-2024a100059l
    Donnelly J, Moffett L, Barnett AJ et al AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction. Radiology 2024 Mar;310(3):e232780 PMID: https://www.ncbi.nlm.nih.gov/pubmed/38501952 https://pubs.rsna.org/doi/10.1148/radiol.232780
  15. ↑ 15.0 15.1 Tian F, Liu D, Wei N et al. Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning. Nat Med 2024 Apr 16; [e-pub]. PMID: https://www.ncbi.nlm.nih.gov/pubmed/38627559 https://www.nature.com/articles/s41591-024-02915-w
  16. ↑ Daneshvar N, Pandita D, Erickson S et al Artificial Intelligence in the Provision of Health Care: An American College of Physicians Policy Position Paper. Ann Intern Med. 2024. June 4 PMID: https://www.ncbi.nlm.nih.gov/pubmed/38830215 https://www.acpjournals.org/doi/10.7326/M24-0146
  17. ↑ Hirani R, Noruzi K, Khuram H et al. Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities. Life (Basel). 2024;14(5):557. PMID: https://www.ncbi.nlm.nih.gov/pubmed/38792579 PMCID: PMC11122160 Free PMC article https://psnet.ahrq.gov/issue/artificial-intelligence-and-healthcare-journey-through-history-present-innovations-and-future
  18. ↑ Castelvecchi D Researchers built an 'AI Scientist' - what can it do? Nature News. Aug 30, 2024 https://www.nature.com/articles/d41586-024-02842-3
    Lu C et al The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. arXiv:2408.06292v2 https://arxiv.org/abs/2408.06292
  19. ↑ 19.0 19.1 Ouanes K, Farhah N. Effectiveness of artificial intelligence (AI) in clinical decision support systems and care delivery. J Med Syst. 2024;48(1):74. PMID: https://www.ncbi.nlm.nih.gov/pubmed/39133332 https://psnet.ahrq.gov/issue/effectiveness-artificial-intelligence-ai-clinical-decision-support-systems-and-care-delivery
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