Inteligencia artificial al servicio de la salud del futuro

Revista Médica Clínica Las Condes - Tập 34 - Trang 84-91 - 2023
Rocío B. Ruiz1, Juan D. Velásquez1
1Departamento de Ingeniería Industrial, Facultad de Ciencias Físicas y Matemáticas, Instituto Sistemas Complejos de Ingeniería (ISCI), Universidad de Chile, Santiago, Chile

Tài liệu tham khảo

Turing, 1950, Computing machinery and intelligence, Mind., LIX, 433, 10.1093/mind/LIX.236.433 McCarthy, 2006, A proposal for the dartmouth summer research project on artificial intelligence, August 31, 1955, AI magazine, 27 Thorndike, 1921, Intelligence and its measurement: A symposium–I, J Educ Psychol., 12, 124, 10.1037/h0064596 Terman, 1921, Intelligence and its measurement: A symposium–II, J Educ Psychol., 12, 127, 10.1037/h0064940 Anastasi, 1992, What counselors should know about the use and interpretation of psychological tests, J Couns Dev., 70, 610, 10.1002/j.1556-6676.1992.tb01670.x Garain, 2021, Detection of COVID-19 from CT scan images: A spiking neural network-based approach, Neural Comput Appl., 33, 12591, 10.1007/s00521-021-05910-1 Dihlac M, Mai V, Mörch C, Noiseau P, Voarino N. Pensar la inteligencia artificial responsable: una guía de deliberación. Disponible en: https://opendialogueonai.com/wp-content/uploads/2020/07/ES_ Delib.pdf. Subbarayappa, 2001, The roots of ancient medicine: an historical outline, J Biosci., 26, 135, 10.1007/BF02703637 Hood, 2011, Predictive, personalized, preventive, participatory (P4) cancer medicine, Nat Rev Clin Oncol., 8, 184, 10.1038/nrclinonc.2010.227 Koteluk, 2021, How Do Machines Learn? Artificial Intelligence as a New Era in Medicine, J Pers Med., 11, 32, 10.3390/jpm11010032 Thrun, 2012 Mitchell, 1997 Samuel, 1959, Machine learning, Technol Rev., 62, 42 Ray, 2019, A quick review of machine learning algorithms, 35 Janiesch, 2021, vol. 31, 685 Gudivada, 2017, Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations, Int J Adv Softw., 10, 1 Velásquez, 2008, vol. 170 Awaysheh, 2019, Review of Medical Decision Support and Machine-Learning Methods, Vet Pathol., 56, 512, 10.1177/0300985819829524 Garg, 2021, Role of machine learning in medical research: A survey, Comput Sci Rev., 40, 100370, 10.1016/j.cosrev.2021.100370 Das, 2021, Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images, Big Data Research., 25, 100233, 10.1016/j.bdr.2021.100233 Tao, 2022, Multi-source information fusion for smart health with artificial intelligence, Inf Fusion., 93, 10.1016/j.inffus.2022.03.010 Lee, 2017, Medical big data: promise and challenges, Kidney Res Clin Pract., 36, 3, 10.23876/j.krcp.2017.36.1.3 Buch, 2018, Artificial intelligence in medicine: current trends and future possibilities, Br J Gen Pract., 68, 143, 10.3399/bjgp18X695213 CB Insights Research Healthcare remains the hottest AI category for deals. 2017. Disponible en: https://www.cbinsights.com/research/artificial-intelligence-healthcare-startups-investors/. Chan, 2010, Review: electronic health records and the reliability and validity of quality measures: a review of the literature, Med Care Res Rev., 67, 503, 10.1177/1077558709359007 Guiñazú, 2020, Employing online social networks in precision-medicine approach using information fusion predictive model to improve substance use surveillance: A lesson from twitter and marijuana consumption, Inform Fusion., 55, 150, 10.1016/j.inffus.2019.08.006 González, 2020, Kefuri: A novel technological tool for increasing organ donation in chile, 470 Knoppers, 2017, Ethics and big data in health, Curr. Opin Syst Biol., 4, 53, 10.1016/j.coisb.2017.07.001 Morley, 2020, The ethics of AI in health care: A mapping review, Soc Sci Med., 260, 113172, 10.1016/j.socscimed.2020.113172 Mann, 1994, Health and human rights, Health Hum Rights., 1, 6, 10.2307/4065260 Douali, 2012, Genomic and personalized medicine decision support system, 1 Hood, 2012, A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory, N Biotechnol., 29, 613, 10.1016/j.nbt.2012.03.004 Gifari, 2021, Artificial intelligence toward personalized medicine, Pharm Sci Res., 8, 65 Lin, 2022, Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things, OMICS., 26, 77, 10.1089/omi.2021.0037 Zellweger, 2018, A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine, EPMA J, 9, 235, 10.1007/s13167-018-0142-x Flores, 2013, P4 medicine: how systems medicine will transform the healthcare sector and society, Per Med., 10, 565, 10.2217/pme.13.57 Taylor, 1999, Predictive medicine: computational techniques in therapeutic decision-making, Comput Aided Surg., 4, 231, 10.3109/10929089909148176 Xue, 2019, Predicting ICU readmission using grouped physiological and medication trends, Artif Intell Med., 95, 27, 10.1016/j.artmed.2018.08.004 Yang, 2015, Using Health-Consumer-Contributed Data to Detect Adverse Drug Reactions by Association Mining with Temporal Analysis, ACM Trans Intell Syst Technol., 6, 1, 10.1145/2700482 Krieg, 2020, Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter Martinez-Ríos, 2021, A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data, Biomed Signal Process Control, 68, 102813, 10.1016/j.bspc.2021.102813 Swan, 2012, Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen, J Pers Med., 2, 93, 10.3390/jpm2030093 deBronkart, 2015, From patient centred to people powered: autonomy on the rise, BMJ., 350, h148, 10.1136/bmj.h148 Millenson, 2017, When “patient centred” is no longer enough: the challenge of collaborative health: an essay by Michael L Millenson, BMJ., 358, j3048, 10.1136/bmj.j3048 Martínez-Pernía, 2017, Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury, J Biomed Inform., 74, 71, 10.1016/j.jbi.2017.08.012 Coughlin, 2018, Looking to tomorrow's healthcare today: a participatory health perspective, Intern Med J., 48, 92, 10.1111/imj.13661 Gonzalez-Hernandez, 2017, Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text, Yearb Med Inform., 26, 214, 10.15265/IY-2017-029 Wright, 2018, What is participatory health research?, 3 Denecke, 2019, Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications, Yearb Med Inform., 28, 165, 10.1055/s-0039-1677902 Almalki, 2015, The use of self-quantification systems for personal health information: big data management activities and prospects, Health Inf Sci Syst., 3, S1, 10.1186/2047-2501-3-S1-S1 Bates, 2010, Progress towards personalized medicine, Drug Discov Today., 15, 115, 10.1016/j.drudis.2009.11.001 Schork, 2015, Personalized medicine: Time for one-person trials, Nature, 520, 609, 10.1038/520609a Bollati, 2020, Personalised Medicine: implication and perspectives in the field of occupational health, Med Lav., 111, 425 Orlando, 2020, At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care, BMC Health Serv Res., 20, 1015, 10.1186/s12913-020-05868-1 Clarke, 1974, What is Preventive Medicine?, Can Fam Physician., 20, 65 Chang, 2020, The role of artificial intelligence in digital health, 71 Schwalbe, 2020, Artificial intelligence and the future of global health, Lancet., 395, 1579, 10.1016/S0140-6736(20)30226-9