This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Arbabshirani, M. R., Fornwalt, B. K., Mongelluzzo, G. J., Suever, J. D., Geise, B. D., Patel, A. A., & Moore, G. J. (2018). Advanced machine learning in action: Identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. npj Digital Medicine, 1, 9. https://doi.org/10.1038/s41746-017-0015-zArbabshiraniM. R.FornwaltB. K.MongelluzzoG. J.SueverJ. D.GeiseB. D.PatelA. A.MooreG. J.2018Advanced machine learning in action: Identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration19https://doi.org/10.1038/s41746-017-0015-zSearch in Google Scholar
Auwal, F. I., Copeland, C., Clark, E. J., Naraynassamy, C., & McClelland, G. R. (2023, September). A systematic review of models of patient engagement in the development and life cycle management of medicines. Drug Discovery Today, 28(9), 103702. https://doi.org/10.1016/j.drudis.2023.103702AuwalF. I.CopelandC.ClarkE. J.NaraynassamyC.McClellandG. R.2023SeptemberA systematic review of models of patient engagement in the development and life cycle management of medicines289103702https://doi.org/10.1016/j.drudis.2023.103702Search in Google Scholar
Ayad, N., Schwendicke, F., Krois, J., S. van den Bosch, Bergé, S., Bohner, L., Hanisch, M., & Vinayahalingam, S. (2023, December). Patients’ perspectives on the use of artificial intelligence in dentistry: A regional survey. Head & Face Medicine, 19, Article 23. https://doi.org/10.1186/s13005-023-00368-zAyadN.SchwendickeF.KroisJ.van den BoschS.BergéS.BohnerL.HanischM.VinayahalingamS.2023DecemberPatients’ perspectives on the use of artificial intelligence in dentistry: A regional survey19Article 23. https://doi.org/10.1186/s13005-023-00368-zSearch in Google Scholar
Białowolski, P., Grabowska, I., Kotowska, I., Strzelecki, P. &Węziak-Białowolska, D. (2012). Social Diagnosis 2011: The objective and subjective quality of life in Poland. Ed. Czapiński, J., & Panek, T. The Council for Social Monitoring Warsaw.BiałowolskiP.GrabowskaI.KotowskaI.StrzeleckiP.Węziak-BiałowolskaD.2012Ed.CzapińskiJ.PanekT.The Council for Social MonitoringWarsawSearch in Google Scholar
Bokolo, A. Jnr. (2020). Application of telemedicine and eHealth technology for clinical services in response to the COVID-19 pandemic. Health and Technology, 11, 359–366. https://doi.org/10.1007/s12553-020-00516-4BokoloA. Jnr.2020Application of telemedicine and eHealth technology for clinical services in response to the COVID-19 pandemic11359366https://doi.org/10.1007/s12553-020-00516-4Search in Google Scholar
Bukowska-Piestrzyńska, A. (2013). Zmiany w systemie opieki zdrowotnej a dostępność usług stomatologicznych w Polsce w XXI wieku [Changes in the healthcare system and the availability of dental services in Poland in the 21st century]. Vol. XIV(10), pt. I. [in Polish]Bukowska-PiestrzyńskaA.2013Zmiany w systemie opieki zdrowotnej a dostępność usług stomatologicznych w Polsce w XXI wieku [Changes in the healthcare system and the availability of dental services in Poland in the 21st century]XIV10pt. I. [in Polish]Search in Google Scholar
Char, D. S., Shah, N. H., & Magnus, D. (2018). Implementing machine learning in health care — Addressing ethical challenges. New England Journal of Medicine, 378(11), 981–983. https://doi.org/10.1056/NEJMp1714229CharD. S.ShahN. H.MagnusD.2018Implementing machine learning in health care — Addressing ethical challenges37811981983https://doi.org/10.1056/NEJMp1714229Search in Google Scholar
Chronaki, C. E., Lelis, P., Chiarugi, F., Trypakis, D., Moumouris, K., Stavrakis, H., Kavlentakis, G., Stathiakis, N., Tsiknakis, M., & Orphanoudakis, S. C. (2004). An open eHealth platform for health management using adaptable service profiles. International Congress Series, 1268. https://doi.org/10.1016/j.ics.2004.03.201ChronakiC. E.LelisP.ChiarugiF.TrypakisD.MoumourisK.StavrakisH.KavlentakisG.StathiakisN.TsiknakisM.OrphanoudakisS. C.2004An open eHealth platform for health management using adaptable service profiles1268https://doi.org/10.1016/j.ics.2004.03.201Search in Google Scholar
Depeursinge, A., Chin, A. S., Leung, A. N., Terrone, D., Bristow, M., Rosen, G., & Rubin, D. L. (2015). Automated classification of usual interstitial pneumonia using regional volumetric texture analysis in high-resolution computed tomography. Investigative Radiology 50(4), 261–267. https://doi.org/10.1097/RLI.0000000000000127DepeursingeA.ChinA. S.LeungA. N.TerroneD.BristowM.RosenG.RubinD. L.2015Automated classification of usual interstitial pneumonia using regional volumetric texture analysis in high-resolution computed tomography504261267https://doi.org/10.1097/RLI.0000000000000127Search in Google Scholar
Etemadi, S., & Khashei, M. (2020). Data accuracy and reliability. Computers in Biology and Medicine, 141. https://doi.org/10.1016/j.compbiomed.2021.105138EtemadiS.KhasheiM.2020Data accuracy and reliability141https://doi.org/10.1016/j.compbiomed.2021.105138Search in Google Scholar
Fatima, A., & Colomo-Palacios, R. (2018). Security aspects in healthcare information systems: A systematic mapping. Procedia Computer Science, 138, 12–19. https://doi.org/10.1016/j.procs.2018.10.003FatimaA.Colomo-PalaciosR.2018Security aspects in healthcare information systems: A systematic mapping1381219https://doi.org/10.1016/j.procs.2018.10.003Search in Google Scholar
Hagiwara, A., Otsuka, Y., Hori, M., Tachibana, Y., Yokoyama, K., Fujita, S., Andica, C., Kamagata, K., Irie, R., Koshino, S., Maekawa, T., Chougar, L., Wada, A., Takemura, M., Hattori, N., & Aoki, S. (2019). Improving the quality of synthetic FLAIR images with deep learning using a conditional generative adversarial network for pixel-by-pixel image translation. American Journal of Neuroradiology, 40(2), 224–230.HagiwaraA.OtsukaY.HoriM.TachibanaY.YokoyamaK.FujitaS.AndicaC.KamagataK.IrieR.KoshinoS.MaekawaT.ChougarL.WadaA.TakemuraM.HattoriN.AokiS.2019Improving the quality of synthetic FLAIR images with deep learning using a conditional generative adversarial network for pixel-by-pixel image translation402224230Search in Google Scholar
Herrmann, M., Boehme, P., Mondritzki, T., Ehlers, J. P., Kavadias, S., Truebel, H. (2018). Digital transformation and disruption of the health care sector: Internet-based observational study. Journal of Medical Internet Research, 20, 104–112. https://doi.org/10.2196/jmir.9498HerrmannM.BoehmeP.MondritzkiT.EhlersJ. P.KavadiasS.TruebelH.2018Digital transformation and disruption of the health care sector: Internet-based observational study20104112https://doi.org/10.2196/jmir.9498Search in Google Scholar
Hunt, C. W. (2015). Technology and diabetes self-management: An integrative review. World Journal of Diabetes, 6(2), 225–33. https://doi.org/10.4239/wjd.v6.i2.225HuntC. W.2015Technology and diabetes self-management: An integrative review6222533https://doi.org/10.4239/wjd.v6.i2.225Search in Google Scholar
ICH Guidelines. (2016). Harmonized ICH Guidelines, Integrated Addendum to ICH E6(R1): Good Clinical Practice, E6(R2), version 4. International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH). https://database.ich.org/sites/default/files/E6_R2_Addendum.pdfICH Guidelines2016International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH)https://database.ich.org/sites/default/files/E6_R2_Addendum.pdfSearch in Google Scholar
Jankowski M., (2018). Sztuczna inteligencja jako narzędzie wspomagające proces diagnostyczno-terapeutyczny, Menadżer Zdrowia, październik – listopad 8–9, 66–67.JankowskiM.2018Sztuczna inteligencja jako narzędzie wspomagające proces diagnostyczno-terapeutyczny8–96667Search in Google Scholar
Jankowska-Polańska, B., Ilko, A., & Wleklik, M. (2014). Wpływ akceptacji choroby na jakość życia chorych z nadciśnieniem tętniczym [Influence of the acceptance of the disease on quality of life of patients with hypertension]. Nadciśnienie Tętnicze, 18(3), 143–150. [in Polish]Jankowska-PolańskaB.IlkoA.WleklikM.2014Wpływ akceptacji choroby na jakość życia chorych z nadciśnieniem tętniczym [Influence of the acceptance of the disease on quality of life of patients with hypertension]183143150[in Polish]Search in Google Scholar
Kaczmarek, E. (2021). Sztuczna inteligencja – pomoc w wykryciu retinopatii cukrzycowej [Artificial Intelligence – Assistance in Detecting Diabetic Retinopathy]. Optyka, 6(73), 48–49. [in Polish]KaczmarekE.2021Sztuczna inteligencja – pomoc w wykryciu retinopatii cukrzycowej [Artificial Intelligence – Assistance in Detecting Diabetic Retinopathy]6734849[in Polish]Search in Google Scholar
Kulkov, I. (2023). Next-generation business models for artificial intelligence start-ups in the healthcare. International Journal of Entrepreneurial Behavior & Research, 29(4).KulkovI.2023Next-generation business models for artificial intelligence start-ups in the healthcare294Search in Google Scholar
Marmot M., Allen J., Bell R., Bloomer E., Goldblatt P., (2012). WHO European review of social determinants of health and the health divide, Lancet 2012; 380, 1011–29. 10.1016/S0140-6736(12)61228-8MarmotM.AllenJ.BellR.BloomerE.GoldblattP.2012WHO European review of social determinants of health and the health divide201238010112910.1016/S0140-6736(12)61228-8Open DOISearch in Google Scholar
Orędziak, B. (2018). Telemedycyna a konstytucyjne prawo do opieki zdrowotnej w kontekście wykluczenia cyfrowego [Telemedicine and the Constitutional Right to Healthcare in the Context of Digital Exclusion]. Zeszyty Prawnicze, 18(1). https://doi.org/10.21697/zp.2018.18.1.06 [in Polish]OrędziakB.2018Telemedycyna a konstytucyjne prawo do opieki zdrowotnej w kontekście wykluczenia cyfrowego [Telemedicine and the Constitutional Right to Healthcare in the Context of Digital Exclusion]181https://doi.org/10.21697/zp.2018.18.1.06 [in Polish]Search in Google Scholar
Owen, R., Macnaghten, Ph., Stilgoe, J., (2012). Responsible Research and Innovation: From Science in Society to Science for Society, with Society. Science and Public Policy, 39(6), 751–760. https://doi.org/10.1093/scipol/scs093.OwenR.MacnaghtenPh.StilgoeJ.2012Responsible Research and Innovation: From Science in Society to Science for Society, with Society396751760https://doi.org/10.1093/scipol/scs093.Search in Google Scholar
Pawelec, G. (2022). Rola nowych technologii w podnoszeniu jakości usług zdrowotnych w dobie pandemii COVID-19. [The role of new technologies in improving the quality of health services in the era of the COVID-19 pandemic]. Marketing i Rynek, XXIX(2). https://doi.org/10.33226/1231-7853.2022.2.2 [in Polish]PawelecG.2022Rola nowych technologii w podnoszeniu jakości usług zdrowotnych w dobie pandemii COVID-19. [The role of new technologies in improving the quality of health services in the era of the COVID-19 pandemic]XXIX2https://doi.org/10.33226/1231-7853.2022.2.2 [in Polish]Search in Google Scholar
Ramachandran, N., Srinivasan, M., Thekkur, P., Johnson, P., Chinnakali, P., & Naik, B. N. (2015). Mobile phone usage and willingness to receive health-related information among patients attending a chronic disease clinic in rural Puducherry, India. Journal of Diabetes Science and Technology, 9(6), 1350–1. https://doi.org/10.1177/1932296815599005RamachandranN.SrinivasanM.ThekkurP.JohnsonP.ChinnakaliP.NaikB. N.2015Mobile phone usage and willingness to receive health-related information among patients attending a chronic disease clinic in rural Puducherry, India9613501https://doi.org/10.1177/1932296815599005Search in Google Scholar
Santosa, E. S., Fariab, S. C. M., Carvalhob, M. I. S., Molc, M. P. G., Silvab, M. N., & Silva, K. R. (2022, December). Management of unused healthcare materials and medicines discarded in a Brazilian hospital from 2015 to 2019. Cleaner Waste Systems, 3. https://doi.org/10.1016/j.clwas.2022.100046SantosaE. S.FariabS. C. M.CarvalhobM. I. S.MolcM. P. G.SilvabM. N.SilvaK. R.2022DecemberManagement of unused healthcare materials and medicines discarded in a Brazilian hospital from 2015 to 20193https://doi.org/10.1016/j.clwas.2022.100046Search in Google Scholar
Severika, B., & Ceranic, K. (2020, April). Digital Health Classification Systems. Statistics & Science. https://www.5-ht.com/en/media/blog/digital-health-classification-systemsSeverikaB.CeranicK.2020AprilDigital Health Classification Systemshttps://www.5-ht.com/en/media/blog/digital-health-classification-systemsSearch in Google Scholar
Stahl, B.C. and Coeckelbergh, M. (2016) Ethics of Healthcare Robotics: Towards Responsible Research and Innovation. Robotics and Autonomous Systems, 86, 152–161. https://doi.org/10.1016/j.robot.2016.08.018StahlB.C.CoeckelberghM.2016Ethics of Healthcare Robotics: Towards Responsible Research and Innovation86152161https://doi.org/10.1016/j.robot.2016.08.018Search in Google Scholar
Shah, J. L., Bhat, H. F., & Khan, A. I. (2021). Integration of Cloud and IoT for smart e-healthcare. In V.E. Balas, S. Pal (Eds.). Healthcare Paradigms in the Internet of Things Ecosystem (pp. 101–136). Elsevier. https://doi.org/10.1016/B978-0-12-819664-9.00006-5.ShahJ. L.BhatH. F.KhanA. I.2021Integration of Cloud and IoT for smart e-healthcareInBalasV.E.PalS.(Eds.).101136Elsevierhttps://doi.org/10.1016/B978-0-12-819664-9.00006-5.Search in Google Scholar
Stahl, S., Morrissette, D. A., Faedda, G. L., Fava, M., Goldberg, J., Keck, P., Lee, Y., Malhi, G., Marangoni, C., Mcelroy, S., Ostacher, M., Rosenblat, J., Solé, E. Suppes, T. Takeshima, M. Thase, M., Vieta, E., Young, A. Zimmerman, M. McIntyre, R. (2017). Guidelines for the recognition and management of mixed depression. CNS Spectrums. 22(2), 203–219. https://doi.org/10.1017/S1092852917000165.StahlS.MorrissetteD. A.FaeddaG. L.FavaM.GoldbergJ.KeckP.LeeY.MalhiG.MarangoniC.McelroyS.OstacherM.RosenblatJ.SoléE.SuppesT.TakeshimaM.ThaseM.VietaE.YoungA.ZimmermanM.McIntyreR.2017Guidelines for the recognition and management of mixed depression222203219https://doi.org/10.1017/S1092852917000165.Search in Google Scholar
Sobiech, J. (1990). Warunki wyboru ekonomiczno-finansowych mechanizmów kierowania opieką zdrowotną. Zeszyty Naukowe, 109. Wydawnictwo Akademii Ekonomicznej w Poznaniu.SobiechJ.1990Warunki wyboru ekonomiczno-finansowych mechanizmów kierowania opieką zdrowotną109Wydawnictwo Akademii Ekonomicznej w PoznaniuSearch in Google Scholar
Trzmielak, D. M. (2013). Komercjalizacja wiedzy i technologii – determinanty i strategia [Commercialization of knowledge and technology – determinants and strategy]. Łódź: Wydawnictwa Uniwersytetu Łódzkiego. [in Polish]TrzmielakD. M.2013ŁódźWydawnictwa Uniwersytetu Łódzkiego[in Polish]Search in Google Scholar
Turpin, R., Hoefer, E., Lewelling, J., & Baird, P. (2020). Machine Learning AI in Medical Devices, Adapting Regulatory Frameworks and Standards to Ensure Safety and Performance. AAMI, BSI. https://www.medical-device-regulation.eu/wp-content/uploads/2020/09/machine_learning_ai_in_medical_devices.pdfTurpinR.HoeferE.LewellingJ.BairdP.2020AAMI, BSIhttps://www.medical-device-regulation.eu/wp-content/uploads/2020/09/machine_learning_ai_in_medical_devices.pdfSearch in Google Scholar
Ullah, M., Hamayun, S., Wahab, A., Khan, S. U., Rehman, M. U., Haq, Z. U., Rehman, K. U., Ullah, A., Mehreen, A., Awan, U. A., Qayum, M., & Naeem, M. (2023, November). Smart Technologies used as Smart Tools in the Management of Cardiovascular Disease and their Future Perspective. Current Problems in Cardiology, 48. https://doi.org/10.1016/j.cpcardiol.2023.101922UllahM.HamayunS.WahabA.KhanS. U.RehmanM. U.HaqZ. U.RehmanK. U.UllahA.MehreenA.AwanU. A.QayumM.NaeemM.2023NovemberSmart Technologies used as Smart Tools in the Management of Cardiovascular Disease and their Future Perspective48https://doi.org/10.1016/j.cpcardiol.2023.101922Search in Google Scholar
Verbraecken, J. (2021, September). Telemedicine in Sleep-Disordered Breathing: Expanding the Horizons. Sleep Medicine Clinics, 16(3), 418–445.VerbraeckenJ.2021SeptemberTelemedicine in Sleep-Disordered Breathing: Expanding the Horizons163418445Search in Google Scholar
World Health Organization. (2018). Classification of Digital Health Interventions v 1.0: A shared language to describe the uses of digital technology for health. https://apps.who.int/iris/bitstream/handle/10665/260480/WHO-RHR-18.06-eng.pdfWorld Health Organization2018https://apps.who.int/iris/bitstream/handle/10665/260480/WHO-RHR-18.06-eng.pdfSearch in Google Scholar