The study evaluated the application of artificial intelligence and performance of medical diagnostic services in Enugu state. The specific objectives were to: examine the relationship between machine learning techniques and the output and evaluate the relationship between application programming interface and patient experience of medical diagnostic services in Enugu State. The area of the study was the SMEs in Enugu State. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. A total population of 275 staff was used. The whole population was used due to small number. Two hundred and sixty (260) staff returned the questionnaire and accurately filled. Data was presented and analyzed using Likert Scale and the hypotheses using Z – test. The findings indicated Machine learning techniques had significant positive relationship with the outputZ (95, n = 260), 6.450 < 10.171 = p. < 0.05 and Application programming Interface had significant positive relationship with patient experience of medical diagnostic services in Enugu State Z (95, n = 260), 7.070 < 10.171 = p. < 0.05. The study concluded that Machine learning techniques and application programming interface had significant positive relationship with the output and patient experience of medical diagnostic services in Enugu State.The study recommended among others that the medical diagnostic service should have effective Machine learning as it allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.