Artificial intelligence has contributed to radical change through its applications in all fields of healthcare. Clinical pictures in the medical services sector are vital categories that are susceptible to disfigurement as they are shared and transferred over the internet. The health services sector faces a settled and ongoing challenge to secure the storage of clinical data, which can be transformed or modified by multiple attacks. Accurate diagnoses are considered essential for diagnostic information, where the problem could be heightened by the damaging effects of the patient's diagnostic information. Different adjustments to the clinical picture could somehow lead to blocking the full diagnosis for the physician. However, availability should be offered only to patients and physicians. Digital watermarking ensures the improvement that medical pictures can be traced back to their original owners. The use of digital watermarking is an effective solution to this problem. This paper proposed Fejér-Korovkin wavelet filters. Meanwhile, these filters include the FK4 wavelet filter, FK6 wavelet filter, FK8 wavelet filter, FK14 wavelet filter, FK18 wavelet filter, and FK22 wavelet filter. It works on a combination of clinical pictures (X ray, MRI, and CAT scan), which is quite a strong scheme to secure patients’ data. After assessment using multiple statistical parameters, the results are promising even after various attacks.