How is AI Transforming the Future of Healthcare?

A short read by the All for Med Team

Author

All For Med
February 25, 2025

Artificial intelligence (AI) is now being applied in the field of healthcare to help in diagnosis, treatment of diseases and improving patient outcomes. It is using the field of machine learning and real time data analysis to enhance the accuracy, efficiency and personalized healthcare services one needs (Kafeele, 2020).

Early disease identification and detection is one of AI's most significant contributions (Shaheen, 2021). To detect diseases like cancer or heart disease, machine learning models analyze genetic data, patient histories and medical images. Hence, risk factors can be assessed by predictive analytics to recommend preventive measures even before the symptoms become severe.

Furthermore, AI is improving medication development and treatment (Shaheen, 2021). It is able to predict the response of patients to drugs based on large datasets, which reduces the time and effort in preparing the prescriptions. Hence, personalized care for different diseases can be developed faster when drugs are selected for people with different levels of risk.

AI-powered patient monitoring is another significant application (Väänänen, 2021). The use of wearable devices allows physicians and patients to keep a close watch on patients’ conditions in real time and notify them of any emerging medical issues. The following is particularly useful for the management of chronic diseases such as diabetes and hypertension.

Despite its benefits, AI in healthcare has drawbacks, such as issues with accessibility and data protection (Panch, 2019). Medical data sets are a critical asset for AI models, and this raises concerns about their misuse. Thus, to ensure that patients remain confident in the system it is crucial to have strong cybersecurity measures in place. Furthermore, AI lacks human sensibility and contextual awareness, thus relying too much on AI might result in errors in diagnosis. It is important to ensure that sure AI supports medical professionals rather than takes their place.

With increased precision, effectiveness, and personalization, artificial intelligence will play an increasingly significant role in determining the direction of healthcare in the future. To ensure its ethical deployment, however, issues like data privacy and accessibility must be addressed.

References

  1. Panch, T., Mattie, H., & Celi, L. A. (2019). The “inconvenient truth” about AI in healthcare. NPJ digital medicine, 2(1), 1-3.

  2. Shaheen, M. Y. (2021). Applications of Artificial Intelligence (AI) in healthcare: A review. ScienceOpen Preprints.

  3. Väänänen, A., Haataja, K., Vehviläinen-Julkunen, K., & Toivanen, P. (2021). AI in healthcare: A narrative review. F1000Research, 10, 6