1. Dunn B, Pierobon M, Wei Q. Automated Classification of Lung Cancer Subtypes Using Deep Learning and CT-Scan Based Radiomic Analysis. Bioengineering 2023; 10: 690, doi: 10.3390/bioengineering10060690.
2.
Chen R, Yu Y, Xie S, et al. Rewritable and Sustainable 2D Barcode for Traceability Application in Smart IoT Based Fault-Tolerant Mechanism. Sustainability 2020; 12: 7192, doi: 10.3390/su12177192.
3.
Amponsah A, Adekoya A, Weyori B. Improving the financial security of national health insurance using Cloud-based blockchain technology application. Int J Inf Manag Data Insights 2022; 2: 100081, doi: 10.1016/j.jjimei.2022.100081.
4.
Flessa S, Huebner C. Innovations in Health Care – A Conceptual Framework. Int J Environ Res Public Health 2021; 18: 10026, doi: 10.3390/ijerph181910026.
5.
Lewandrowski K, Elfar J, Li Z, et al. The Changing Environment in Postgraduate Education in Orthopedic Surgery and Neurosurgery and Its Impact on Technology-Driven Targeted Interventional and Surgical Pain Management: Perspectives from Europe, Latin America, Asia, and The United States. J Pers Med 2023; 13: 852, doi: 10.3390/jpm13050852.
6.
Mahdi S, Battineni G, Khawaja M, et al. How Does Artificial Intelligence Impact Digital Healthcare Initiatives? A Review of AI Applications in Dental Healthcare. Int J Inf Manag Data Insights 2023; 3: 100144, doi: 10.1016/j.jjimei.2022.100144.
7.
Susło R, Trnka J, Drobnik J. Current threats to medical data security in family doctors’ practices. Fam Med Prim Care Rev 2017; 19(3): 313–318, doi: 10.5114/fmpcr.2017.69297.
8.
Alanazi A, Alshatri I, Aldosari B. A Framework and System Design for Medicines Resources Allocation: A Multi-Stakeholder Assessment of Processes and Electronic Platform Needs. Int J Environ Res Public Health 2023; 20: 3846, doi: 10.3390/ijerph20053846.
9.
Obermeyer Z, Emanuel E. Predicting the Future – Big Data, Machine Learning, and Clinical Medicine. N Engl J Med 2016; 375(13): 1216–1219, doi: 10.1056/NEJMp1606181.
10.
Susło R, Paplicki M, Kozakiewicz M, et al. Dokumentacja medyczna elementem bezpieczeństwa pracy ratownika medycznego. Acta Universitatis Wratislaviensis. Prawo 2017; 323: 151–160, doi: 10.19195/0524-4544.323.14 (in Polish).
11.
Susło R, Drobnik J, Mastalerz-Migas A. Remote medical diagnostics, health-state monitoring systems, and point-of-care tests as tools reinforcing the patient’s subject role in an ageing society. Lekarz POZ 2017; 3(4): 269–273.
12.
Susło R, Paplicki, M, Dopierała K, et al. Fostering digital literacy in the elderly as a means to secure their health needs and human rights in the reality of the twenty-first century. Fam Med Prim Care Rev 2018; 20: 271–275, doi: 10.5114/fmpcr.2018.78273.
13.
Martins M, Baptista L, Luís H, et al. Machine Learning in X-ray Diagnosis for Oral Health: A Review of Recent Progress. Computation 2023; 11: 115, doi: 10.3390/computation11060115.
14.
Cabitza F, Locoro A, Banfi G. Machine Learning in Orthopedics: A Literature Review. Front Bioeng Biotechnol 2018; 6: 75, doi: 10.3389/fbioe.2018.00075.
15.
Rajkomar A, Oren E, Chen K, et al. Scalable and accurate deep learning with electronic health records. npj Digital Med 2018; 1: 18. doi: 10.1038/s41746-018-0029-1.
16.
Aleid A, Alhussaini K, Alanazi R, et al. Artificial Intelligence Approach for Early Detection of Brain Tumors Using MRI Images. Appl Sci 2023; 13: 3808, doi: 10.3390/app13063808.
17.
Stafford H, Buell J, Chiang E, et al. Non-Melanoma Skin Cancer Detection in the Age of Advanced Technology: A Review. Cancers 2023; 15: 3094, doi: 10.3390/cancers15123094.
18.
Ho I, Weldon A, Yong J, et al. Using Machine Learning Algorithms to Pool Data from Meta-Analysis for the Prediction of Countermovement Jump Improvement. Int J Environ Res Public Health 2023; 20: 5881, doi: 10.3390/ijerph20105881.
19.
Bas T, Astudillo P, Rojo D, et al. Opinions Related to the Potential Application of Artificial Intelligence (AI) by the Responsible in Charge of the Administrative Management Related to the Logistics and Supply Chain of Medical Stock in Health Centers in North of Chile. Int J Environ Res Public Health 2023; 20: 4839, doi: 10.3390/ijerph20064839.
20.
Banjar H, Alrowithi R, Alhadrami S, et al. An Intelligent System for Proper Management and Disposal of Unused and Expired Medications. Int J Environ Res Public Health 2022; 19: 2875, doi: 10.3390/ijerph19052875.
21.
Jamil F, Hang L, Kim K, et al. A Novel Medical Blockchain Model for Drug Supply Chain Integrity Management in a Smart Hospital. Electronics 2019; 8: 505, doi: 10.3390/electronics8050505.
22.
European Union. Regulation (EC) N°141/2000 of the European Parliament and of the Council of 16 December 1999 on Orphan Medicinal Products. 2000 [cited 18.08.2023]. Available from URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32000R0141.
23.
Visibelli A, Roncaglia B, Spiga O, et al. The Impact of Artificial Intelligence in the Odyssey of Rare Diseases. Biomedicines 2023; 11: 887, doi: 10.3390/biomedicines11030887.
24.
Alkim E, Gürbüz E, Kiliç E. A fast and adaptive automated disease diagnosis method with an innovative neural network model. Neur Networks 2012; 33: 88–96, doi: 10.1016/j.neunet.2012.04.010.
25.
Amato F, López A, Peña-Méndez E, et al. Artificial Neural Networks in Medical Diagnosis. J Appl Biomed 2013; 11: 47–58, doi: 10.2478/v10136-012-0031-x.
26.
Barwad A, Dey P, Susheilia S. Artificial neural network in diagnosis of metastatic carcinoma in effusion cytology. Cytometry B Clyn Cytom 2012; 82: 107–111, doi: 10.1002/cyto.b.20632.
27.
Barbosa D, Roupar D, Ramos J, et al. Automatic small bowel tumor diagnosis by using multi-scale wavelet-based analysis in wireless capsule endoscopy images. Biomed Eng Online 2012; 11: 3, doi: 10.1186/1475-925X-11-3.
28.
Atkov O, Gorokhova S, Sboev A, et al. Coronary heart disease diagnosis by artificial neural networks including genetic polymorphisms and clinical parameters. J Cardiol 2012; 59: 190–194, doi: 10.1016/j.jjcc.2011.11.005.
29.
Er O, Temurtas F, Tanrikulu A. Tuberculosis Disease Diagnosis Using Artificial Neural Networks. J Med Syst 2008; 34: 299–302, doi: 10.1007/s10916-008-9148-6.
30.
Chioma R, Sbordone A, Patti M, et al. Applications of Artificial Intelligence in Neonatology. Appl Sci 2023; 13: 3211, doi: 10.3390/app13053211.
31.
Jayakumar P, Moore M, Bozic K. Value-based healthcare: Can artificial intelligence provide value in orthopaedic surgery? Clin Orthop Relat Res 2019; 477: 1777.
32.
Roganović J, Radenković M, Miličić B. Responsible Use of Artificial Intelligence in Dentistry: Survey on Dentists’ and Final-Year Under-graduates’ Perspectives. Healthcare 2023; 11: 1480, doi: 10.3390/healthcare11101480.
33.
Ahmed Kamal M, Ismail Z, Shehata I, et al. Telemedicine, E-Health, and Multi-Agent Systems for Chronic Pain Management. Clin Pract 2023; 13: 470–482, doi: 10.3390/clinpract13020042.
34.
Sallam M. ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare 2023; 11: 887, doi: 10.3390/healthcare11060887.
35.
Zhai K, Yousef M, Mohammed S, et al. Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics. Processes 2023; 11: 939, doi: 10.3390/pr11030939.
36.
Arena F, Collotta M, Pau G, et al. An Overview of Augmented Reality. Computers 2022; 11: 28, doi: 10.3390/computers11020028.
37.
Ende E, von, Ryan S, Crain M, et al. Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology. Diagnostics 2023; 13: 892, doi: 10.3390/diagnostics13050892.
38.
Baashar Y, Alkawsi G, Wan Ahmad W, et al. Towards Wearable Augmented Reality in Healthcare: A Comparative Survey and Analysis of Head-Mounted Displays. Int J Environ Res Public Health 2023; 20: 3940, doi: 10.3390/ijerph20053940.
39.
Riccardo F, Suk J, Espinosa L, et al. Key Dimensions for the Prevention and Control of Communicable Diseases in Institutional Settings: A Scoping Review to Guide the Development of a Tool to Strengthen Preparedness at Migrant Holding Centres in the EU/EEA. Int J Environ Res Public Health 2018; 15: 1120, doi: 10.3390/ijerph15061120.
40.
Susło R, Trnka J, Drobnik J. Current threats to medical data security in family doctors’ practices. Fam Med Prim Care Rev 2017; 19(3): 313–318.
41.
Susło R, Paplicki M, Beck B, et al. Wykorzystanie systemów informatycznych w działaniach zespołu kontroli zakażeń szpitalnych. In: Jakubaszko J, ed. Postępy medycyny ratunkowej 2019. Wrocław: Polskie Towarzystwo Medycyny Ratunkowej, SR-Poligrafia; 2019: 29–37.
42.
Thandar M, Rahman M, Haruyama R, et al. Effectiveness of Infection Control Teams in Reducing Healthcare-Associated Infections: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health 2022; 19: 17075, doi: 10.3390/ijerph192417075.
43.
[Act of 8 December 2008 on preventing and combating infections and infectious diseases in humans] (Dz.U. 2008 nr 234 poz. 1570 zm., t.j. Dz.U. 2022 poz. 1657). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20082341570/U/D20081570Lj.pdf (in Polish).
44.
[Regulation of the Minister of Health of 27 May 2010 on the qualifications of members of the hospital infection control team] (Dz.U. 2010 nr 108 poz. 706 zm., t.j. Dz.U. 2014 poz. 746). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20140000746/O/D20140746.pdf (in Polish).
45.
[Regulation of the Minister of Health of 27 May 2010 on the scope, method and frequency of internal control in the area of implemen-tation of activities preventing the spread of infections and infectious diseases] (Dz.U. 2010 nr 100 poz. 646). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20101000646/O/D20100646.pdf (in Polish).
46.
[Regulation of the Minister of Health of 27 May 2010 on the method of documenting the implementation of activities preventing the spread of infections and infectious diseases and the conditions and period of storage of this documentation] (Dz.U. 2010 nr 100 poz. 645). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20101000645/O/D20100645.pdf (in Polish).
47.
[Regulation of the Minister of Health of 23 December 2011 on the list of alarm factors, registers of nosocomial infections and alarm factors as well as reports on the current epidemiological situation of a hospital] (Dz.U. 2011 nr 294 poz. 1741 zm., t.j. Dz.U. 2021 poz. 240). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210000240/O/D20210240.pdf (in Polish).
48.
[Regulation of the Minister of Health of 24 June 2020 on the method of keeping the register of infectious diseases and the period of storage of data contained in this register] (Dz.U. 2020 poz. 1117). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20200001117/O/D20201117.pdf (in Polish).
49.
[Regulation of the Minister of Health of 25 March 2022 on infectious diseases resulting in the obligation of hospitalization, isolation at home, quarantine or epidemiological supervision] (Dz.U. 2022 poz. 680 zm., t.j. Dz.U. 2023 poz. 668). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20230000668/O/D20230668.pdf (in Polish).
50.
[Regulation of the Minister of Health of 10 December 2019 on reporting suspected and diagnosed infections, infectious diseases and deaths due to them] (Dz.U. 2019 poz. 2430 zm., t.j. Dz.U. 2023 poz. 1045). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20230001045/O/D20231045.pdf (in Polish).
51.
[Regulation of the Minister of Health of 24 June 2020 on reporting the results of tests for biological pathogens in humans] (Dz.U. 2020 poz. 1118). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20200001118/O/D20201118.pdf (in Polish).
52.
WHO Guidelines on Hand Hygiene in Health Care: First Global Patient Safety Challenge Clean Care Is Safer Care. Geneva: World Health Organization; 2009. Available from URL: https://www.ncbi.nlm.nih.gov/books/NBK144013/pdf/Bookshelf_NBK144013.pdf.
53.
CDC and ICAN. Best Practices for Environmental Cleaning in Healthcare Facilities in Resource-Limited Settings. Atlanta, GA: US Depart-ment of Health and Human Services, CDC; Cape Town, South Africa: Infection Control Africa Network; 2019. Available from URL: https://www.cdc.gov/hai/pdfs/resource-limited/environmental-cleaning-RLS-H.pdf.
54.
Chartier Y, Emmanuel J, Pieper U, et al. Safe management of wastes from health-care activities. Geneva: World Health Organization, 2014. Available from URL: https://apps.who.int/iris/rest/bitstreams/304722/retrieve.
55.
[Act of 14 December 2012 on waste] (Dz.U. 2013 poz. 21 zm., t.j. Dz.U. 2022 poz. 699). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20130000021/U/D20130021Lj.pdf (in Polish).
56.
WHO best practices for injections and related procedures toolkit. Geneva: World Health Organization; 2010. Available from URL: https://apps.who.int/iris/rest/bitstreams/52712/retrieve.
57.
Field R. Mandatory vaccination of health care workers: whose rights should come first? P T 2009; 34(11): 615–618.
58.
[Act of 11 September 2015 on public health] (Dz.U. 2015 poz. 1916 zm., t.j. Dz.U. 2022 poz. 1608). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20150001916/U/D20151916Lj.pdf (in Polish).
59.
[Regulation of the Council of Ministers of 30 March 2021 on the National Health Program for 2021–2025] (Dz.U. 2021 poz. 642). Avail-able from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210000642/O/D20210642.pdf (in Polish).
60.
Doron S, Davidson L. Antimicrobial stewardship. Mayo Clin Proc 2011; 86(11): 1113–1123, doi: 10.4065/mcp.2011.0358.
61.
López Seguí F, Franch Parella J, Gironès García X, et al. A Cost-Minimization Analysis of a Medical Record-based, Store and Forward and Provider-to-provider Telemedicine Compared to Usual Care in Catalonia: More Agile and Efficient, Especially for Users. Int J Envi-ron Res Public Health 2020; 17: 2008, doi: 10.3390/ijerph17062008.
62.
Koruga N, Soldo Koruga A, Rončević R, et al. Telemedicine in Neurosurgical Trauma during the COVID-19 Pandemic: A Single-Center Experience. Diagnostics 2022; 12: 2061, doi: 10.3390/diagnostics12092061.
63.
Basile G, Accetta R, Marinelli S, et al. Traumatology: Adoption of the Sm@rtEven Application for the Remote Evaluation of Patients and Possible Medico-Legal Implications. J Clin Med 2022; 11: 3644, doi: 10.3390/jcm11133644.
64.
Cewe P, Burström G, Drnasin I, et al. Evaluation of a Novel Teleradiology Technology for Image-Based Distant Consultations: Applica-tions in Neurosurgery. Diagnostics 2021; 11: 1413, doi: 10.3390/diagnostics11081413.
65.
Susło R, Trnka J, Drobnik J, et al. Special conditions of data security in medical institutions. Fam Med Prim Care Rev 2006; 8(3): 778–780.
66.
Susło R, Trnka J, Drobnik J. Current threats to medical data security in family doctors’ practices. Fam Med Prim Care Rev 2017; 19: 313–318, doi: 10.5114/fmpcr.2017.69297.
67.
Drobnik J, Susło R, Pobrotyn P, et al. COVID-19 among Healthcare Workers in the University Clinical Hospital in Wroclaw, Poland. Int J Environ Res Public Health 2021; 18: 5600, doi: 10.3390/ijerph18115600.
68.
Paplicki M, Susło R, Benedikt A, et al. Effectively enforcing mandatory vaccination in Poland and worldwide. Fam Med Prim Care Rev 2020; 22(3): 252–256, doi: 10.5114/fmpcr.2020.98255.
69.
Paplicki M, Susło R, Najjar N, et al. Conflict of individual freedom and community health safety: legal conditions on mandatory vaccinations and changes in the judicial approach in the case of avoidance. Fam Med Prim Care Rev 2018; 20(4): 389–395, doi: 10.5114/fmpcr.2018.80081.
70.
Susło R, Trnka J, Drobnik J, et al. Influence of service, scientific and teaching activities of medical institutions on their information systems. Fam Med Prim Care Rev 2008; 10(3): 696–698.
71.
Susło R, Pobrotyn P, Mierzecki A, et al. Fear of Illness and Convenient Access to Vaccines Appear to Be the Missing Keys to Successful Vaccination Campaigns: Analysis of the Factors Influencing the Decisions of Hospital Staff in Poland concerning Vaccination against Influenza and COVID-19. Vaccines 2022; 10: 1026, doi: 10.3390/vaccines10071026.
72.
Blumenthal D, Glaser J. Information technology comes to medicine. N Engl J Med 2007; 356: 2527–2534, doi: 10.1056/nejmhpr066212.
73.
Bates D, Saria S, Ohno-Machado L, et al. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff 2014; 33: 1123–1131, doi: 10.1377/hlthaff.2014.0041.
74.
Ross C. Call it data liberation day: Patients can now access all their health records digitally. Statnews.com 6 October 2022 [cited 18.09.2023]. Available from URL: https://www.statnews.com/2022/10/06/health-data-information-blocking-records/.
75.
Smith H, Buller W, Piland N. Does information technology make a difference in health care organization performance? A multiyear study. Hospital Topics 2000; 78(2): 13–22, doi: 10.1080/00185860009596548.
76.
Jones S, Heaton P, Rudin R, et al. Unraveling the IT productivity paradox – lessons for health care. N Engl J Med 2012; 366: 2243–2245, doi: 10.1056/nejmp1204980.
77.
McCormick D, Bor D, Woolhandler S, et al. Giving office-based physicians electronic access to patients’ prior imaging and lab results did not deter ordering of tests. Health Affairs 2012; 31(3): 488–496, doi: 10.1377/hlthaff.2011.0876.
78.
Khatri N. Effective implementation of electronic medical records and health information technologies. Mo Med 2015; 112(1): 41–45.
79.
[Regulation of the Minister of Health of 6 April 6 2020 on the types, scope and templates of medical documentation and the method of its processing] (Dz.U. 2020 poz. 666 zm., t.j. Dz.U. 2022 poz. 1304). Available from URL: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20220001304/O/D20221304.pdf (in Polish).
80.
Klauer K. Meaningful use-propping up the EHR market without improving quality. Emergency Physicians Monthly 2013; 20(3): 22.
81.
Pines J. Making the most of your EHR. Emergency Physicians Monthly 2013; 20(3): 22.
82.
Black A, Car J, Pagliari C, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS MED 2011; 8(1): 1–15, doi: 10.1371/journal.pmed.1000387.
83.
Salathé M. Digital epidemiology: what is it, and where is it going? Life Sci Soc Policy 2018; 14(1): 1, doi: 10.1186/s40504-017-0065-7.
84.
Alimbayev A, Zhakhina G, Gusmanov A, et al. Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning. Sci Rep 2023; 13(1): 8412, doi: 10.1038/s41598-023-35551-4.
85.
Ginsberg J, Mohebbi M, Patel R, et al. Detecting influenza epidemics using search engine query data. Nature 2009; 457(7232): 1012–1014, doi: 10.1038/nature07634.
86.
Doll M, Pierce J. Electronic hand hygiene monitoring systems: Not worth the costs. Antimicrob Steward Healthc Epidemiol 2022; 2(1): e126, doi: 10.1017/ash.2022.264.
87.
Kaye K, Anderson D, Cook E, et al. Guidance for infection prevention and healthcare epidemiology programs: healthcare epidemiologist skills and competencies. Infect Control Hosp Epidemiol 2015; 36: 369–380, doi: 10.1017/ice.2014.79.
88.
Roth J, Battegay M, Juchler F, et al. Introduction to Machine Learning in Digital Healthcare Epidemiology. Infect Control Hosp Epidemiol 2018; 39(12): 1457–1462, doi: 10.1017/ice.2018.265.
89.
Bi Q, Goodman K, Kaminsky J, et al. What is Machine Learning? A Primer for the Epidemiologist. Am J Epidemiol 2019; 188(12): 2222–2239, doi: 10.1093/aje/kwz189.
90.
Pankhurst T, Evison F, Atia J, et al. Introduction of Systematized Nomenclature of Medicine-Clinical Terms Coding Into an Electronic Health Record and Evaluation of its Impact: Qualitative and Quantitative Study. JMIR Med Inform 2021; 9(11): e29532, doi: 10.2196/29532.
91.
Susło R, Paplicki M, Drobnik J. System Monitorowania Kształcenia pracowników medycznych SMK w Polsce jako przykład wdrożenia rozwiązań e-administracji w ochronie zdrowia. In: Mazurkiewicz J, Szymaniec P, eds. Legal and administrative aspects of electronic communication. Wałbrzych: Wydawnictwo Uczelniane Państwowej Wyższej Szkoły Zawodowej im. Angelusa Silesiusa; 2018: 105–119.
92.
Susło R, Drobnik J, Trnka J, et al. Potential risks related to keeping medical records in electronic form. Fam Med Prim Care Rev 2007; 9(3): 866–870.
93.
Xu N, Liu C, Feng Y, et al. Influence of the Internet of Things management system on hand hygiene compliance in an emergency intensive care unit. J Hosp Infect 2021; 109: 101–106, doi: 10.1016/j.jhin.2020.12.009.
94.
Meng M, Sorber M, Herzog A, et al. Technological innovations in infection control: a rapid review of the acceptance of behavior monitoring systems and their contribution to the improvement of hand hygiene. Am J Infect Control 2019; 47(4): 439–447, doi: 10.1016/j.ajic.2018.10.012.
95.
Guo H, Huang Z, Yeo J, et al. Psychosocial determinants of healthcare personnel’s willingness to carry real-time locating system tags during daily inpatient care in hospital managing COVID-19 patients: insights from a mixed-methods analysis. JAMIA Open 2021; 4(3): ooaa072, doi: 10.1093/jamiaopen/ooaa072.
96.
Wang C, Jiang W, Yang K, et al. Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology. J Med Internet Res 2021; 23(11): e27880, doi: 10.2196/27880.
97.
Griffin J, Hellmich T, Pasupathy K, et al. Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology. Mayo Clin Proc Innov Qual Outcomes 2020; 4(1): 90–98, doi: 10.1016/j.mayocpiqo.2019.10.007.
98.
Wright S, Ostrowsky B, Fishman N, et al. Expanding roles of healthcare epidemiology and infection control in spite of limited resources and compensation. Infect Control Hosp Epidemiol 2010; 31(2): 127–132, doi: 10.1086/650199.
99.
LeCun Y, Bengio Y, Hinton G. Deep learning. Nature 2015; 521(7553): 436–444, doi: 10.1038/nature14539.
100.
Wiens J, Shenoy E. Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology. Clin Infect Dis 2018; 66(1): 149–153, doi: 10.1093/cid/cix731.
101.
Bucci S, Schwannauer M, Berry N. The digital revolution and its impact on mental health care. Psychol Psychother 2019; 92(2): 277–297, doi: 10.1111/papt.12222.
102.
Bokor A, Halbert R, Joslyn K, et al. The preventive medicine manager: a new role for preventive medicine specialists in managed care. Am J Prev Med 1996; 12(3): 143–144.