The Use of Artificial Intelligence in Medicine: Benefits and Risks
Session
Computer Science and Communication Engineering
Description
Artificial Intelligence (AI) is increasingly transforming the field of medicine by enabling rapid and precise diagnosis, personalized therapies, and advanced data management. From interpreting complex medical images to predicting chronic disease risks and tailoring treatments for individual patients, AI demonstrates unprecedented potential to enhance healthcare outcomes. However, alongside these opportunities emerge critical challenges and risks. Biased training datasets may lead to inaccurate diagnoses, while concerns over data privacy and ethical responsibility raise fundamental questions about the limits of automation in healthcare. This paper emphasizes that the integration of AI should not aim to replace physicians but rather to support them, ensuring that technology augments rather than diminishes the human dimension of medicine. Continuous expert oversight, inclusive data representation, and transparent use of patient information are essential to safeguard both accuracy and trust. Ultimately, AI in medicine must be guided not only by technical innovation but also by ethical responsibility, fostering a future where technology strengthens human care without compromising compassion and fairness.
Keywords:
Artificial Intelligence, Healthcare, Medical Diagnosis, Ethics, Data Privacy
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Lipjan, Kosovo
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.104
Recommended Citation
Gashi, Aurela; Kabashi, Faton; Sofiu, Vehebi; Selimaj, Mirlinda; and Gjikokaj, Laura, "The Use of Artificial Intelligence in Medicine: Benefits and Risks" (2025). UBT International Conference. 36.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/CS/36
The Use of Artificial Intelligence in Medicine: Benefits and Risks
UBT Lipjan, Kosovo
Artificial Intelligence (AI) is increasingly transforming the field of medicine by enabling rapid and precise diagnosis, personalized therapies, and advanced data management. From interpreting complex medical images to predicting chronic disease risks and tailoring treatments for individual patients, AI demonstrates unprecedented potential to enhance healthcare outcomes. However, alongside these opportunities emerge critical challenges and risks. Biased training datasets may lead to inaccurate diagnoses, while concerns over data privacy and ethical responsibility raise fundamental questions about the limits of automation in healthcare. This paper emphasizes that the integration of AI should not aim to replace physicians but rather to support them, ensuring that technology augments rather than diminishes the human dimension of medicine. Continuous expert oversight, inclusive data representation, and transparent use of patient information are essential to safeguard both accuracy and trust. Ultimately, AI in medicine must be guided not only by technical innovation but also by ethical responsibility, fostering a future where technology strengthens human care without compromising compassion and fairness.