AI in Healthcare: Transforming Patient Care

Woodelyne Durosier

2025-05-11

##Introduction

Healthcare is undergoing a transformation thanks to artificial intelligence (AI), which is boosting operating efficiency, customizing therapies, and improving diagnostics. AI enables providers to deliver efficiency.

  • Using data from recent research, this talk examines how AI is revolutionizing patient care.

Healthcare AI Applications

Diagnostics: - By using imagery and pattern recognition, AI systems help diagnose diseases early. - Assist with accuracy and timely care are provided by using these instruments.

Treatment Personalization: Machine learning algorithms efficiently and precisely customize treatment regimens based on patient data.

Operational Efficiency: - AI aligns with organization and reduces physician strain by streamlining administrative processes.Additionally, robotic surgery is a reliable procedure.

Case Study: FaceAge

FaceAge is an artificial intelligence system that uses facial traits to predict cancer survival rates.

In several situations, it showed more accuracy than human therapists.

AI Adoption Facilitators

  • Technological Developments: More powerful computers and better algorithms.

  • Data Availability: Model training is improved by having access to big datasets.

  • Interdisciplinary Collaboration: Innovation is fostered when technologists and physicians work together.

Adoption Barriers for AI

  • Data Privacy Issues: Maintaining the privacy of patient data is crucial.

  • Algorithmic Bias: AI systems have the potential to reinforce current inequities in healthcare.

  • Regulatory Difficulties: Handling AI tool approval procedures.

Views of Healthcare Professionals

  • Good Prognosis: AI’s ability to enhance patient outcomes is acknowledged.

-Fear of losing one’s career and the human element in caregiving are concerns.

  • Training is required, with a focus on teaching medical professionals about AI technologies.

Conclusion

  • AI has the potential to revolutionize patient care.

  • It has the power to completely transform the way illnesses are identified, treated, and controlled.

  • For integration to be effective, ethical, legal, and educational issues must be addressed.

References

  • Poalelungi, D. G., Musat, C. L., Fulga, A., Neagu, M., Neagu, A. I., Piraianu, A. I., & Fulga, I. (2023). Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare. Journal of Personalized Medicine, 13(8), 1214. https://doi.org/10.3390/jpm13081214

  • Henzler, D., Schmidt, S., Koçar, A., Herdegen, S., Lindinger, G. L., Maris, M. T., … & Konopka, M. J. (2025). Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels. BMC Health Services Research, 25, 633. https://doi.org/10.1186/s12913-025-12664-2