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Journal of Education, Health and Sport

Artificial intelligence is revolutionizing everyday medical practice
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Artificial intelligence is revolutionizing everyday medical practice

Authors

  • Anna Rudnik Faculty of Medicine, Medical University of Warsaw, ul. Żwirki i Wigury 61, 02-091 Warszawa https://orcid.org/0009-0003-8752-6610
  • Oliver Jendro Szpital Matki Bożej Nieustającej Pomocy w Wołominie ul. Gdyńska 1/3, 05-200 Wołomin https://orcid.org/0009-0006-4910-8751
  • Aleksandra Mastej Gabinet Stomatologiczny Dental Studio Sokratesa 2B lok.1, 01-909 Warszawa https://orcid.org/0000-0001-8673-3210
  • Natalia Gołuchowska Wojskowy Instytut Medyczny Państwowy Instytut Badawczy ul. Szaserów 128, 04-141 Warszawa https://orcid.org/0000-0002-1928-175X
  • Piotr Rzepniewski Wojskowy Instytut Medyczny Państwowy Instytut Badawczy ul. Szaserów 128, 04-141 Warszawa https://orcid.org/0000-0002-6458-2121
  • Tymon Zatorski UCK WUM Szpital Kliniczny Dzieciątka Jezus ul. Lindleya 4, 02-005 Warszawa https://orcid.org/0009-0004-1746-7755
  • Artur Nowak Samodzielny Publiczny Zakład Opieki Zdrowotnej w Garwolinie ul. Lubelska 50, 08-400 Garwolin https://orcid.org/0009-0006-9731-9713

DOI:

https://doi.org/10.12775/JEHS.2023.28.01.012

Keywords

artificial intelligence, Family Physicians, analysis of clinical studies, improveimprovement of healthcare quality

Abstract

Introduction

This article discusses the impact of artificial intelligence (AI) on the medical field and its daily use in the practice of medicine. AI has applications in many stages of patient care, i.e.: prevention, diagnosis, personalising treatment plans, predicting disease progression and therapeutic outcomes or analysing medical images. GPs play a key role in patient care, but due to the complexity of medicine and the variety of symptoms, care and diagnosis can be time-consuming and difficult.

Methods and materials

The aim of this study is to explore and evaluate the potential of artificial intelligence in the process of diagnosing diseases by physicians and to provide practical suggestions and insights for its use in medical practice to improve the quality of healthcare.

The methodology was based on material from PubMed and a review of the scientific literature on previous research and developments in AI in medicine.

 

State of knowledge

Investment in artificial intelligence (AI) in medicine is growing rapidly. The role of GPs in patient care is highlighted and examples of the use of AI in everyday medical practice are given, including the role of Chatbots and the use of AI in specialised treatment. 

Conclusions

The conclusions of the article highlight the potential of AI in the area of physician-diagnosed diseases to reduce diagnosis time, increase accuracy of diagnoses and improve healthcare efficiency.

Final diagnosis and therapy should still be determined by a qualified physician. There are areas where the doctor cannot be replaced by AI.

AI cannot replace a doctor's diagnostic intelligence, empathy and rapport therefore doctors need to find a balance between these combinations to achieve better health outcomes with the highest possible care for patients.

 

 

References

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Rewolucja AI. Jak sztuczna inteligencja zmieni biznes w Polsce (2017), Warszawa, McKinsey&Company, „Forbes Polska”

Murdoch, B. Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Med Ethics 22, 122 (2021). https://doi.org/10.1186/s12910-021-00687-3

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Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017 Apr;69S:S36-S40. doi: 10.1016/j.metabol.2017.01.011. Epub 2017 Jan 11. PMID: 28126242.

Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021 Jul;8(2):e188-e194. doi: 10.7861/fhj.2021-0095. PMID: 34286183; PMCID: PMC8285156.

Jacqueline K. Kueper MSc Primer for artificial intelligence in primary care. Can Fam Physician 2021;67:889-93. DOI: 10.46747/cfp.6712889

Shpudeiko V, Sokolov K, Sidaruk H. Artificial intelligence in solving dermatological problems. Dermatology Review/Przegląd Dermatologiczny. 2022;109(5):361-367. doi:10.5114/dr.2022.125685.

Fujisawa Y, Otomo Y, Ogata Y, Nakamura Y, Fujita R, Ishitsuka Y, Watanabe R, Okiyama N, Ohara K, Fujimoto M. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis. Br J Dermatol. 2019 Feb;180(2):373-381. doi: 10.1111/bjd.16924. Epub 2018 Sep 19. PMID: 29953582.

Liu Y, Jain A, Eng C, Way DH, Lee K, Bui P, Kanada K, de Oliveira Marinho G, Gallegos J, Gabriele S, Gupta V, Singh N, Natarajan V, Hofmann-Wellenhof R, Corrado GS, Peng LH, Webster DR, Ai D, Huang SJ, Liu Y, Dunn RC, Coz D. A deep learning system for differential diagnosis of skin diseases. Nat Med. 2020 Jun;26(6):900-908. doi: 10.1038/s41591-020-0842-3. Epub 2020 May 18. PMID: 32424212.

Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, Goeders L, Westbrook J, Tutty M, Blike G. Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties. Ann Intern Med. 2016 Dec 6;165(11):753-760. doi: 10.7326/M16-0961. Epub 2016 Sep 6. PMID: 27595430.

Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019 Jul;8(7):2328-2331. doi: 10.4103/jfmpc.jfmpc_440_19. PMID: 31463251; PMCID: PMC6691444.

Pimlott N. Artificial intelligence and the family physician. Can Fam Physician. 2021 Dec;67(12):879. doi: 10.46747/cfp.6712879. PMID: 34906926; PMCID: PMC8670637.

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Published

2023-07-25

How to Cite

1.
RUDNIK, Anna, JENDRO, Oliver, MASTEJ, Aleksandra, GOŁUCHOWSKA, Natalia, RZEPNIEWSKI, Piotr, ZATORSKI, Tymon and NOWAK, Artur. Artificial intelligence is revolutionizing everyday medical practice. Journal of Education, Health and Sport. Online. 25 July 2023. Vol. 28, no. 1, pp. 155-165. [Accessed 6 July 2025]. DOI 10.12775/JEHS.2023.28.01.012.
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Issue

Vol. 28 No. 1 (2023)

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Review Articles

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Copyright (c) 2023 Anna Rudnik, Oliver Jendro, Aleksandra Mastej, Natalia Gołuchowska, Piotr Rzepniewski, Tymon Zatorski, Artur Nowak

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0

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