Abstract
The study was conducted at Muhimbili national Hospitals to assess the use of Artificial Intelligence in Disease Diagnosis for Improving Health Sector Services in Tanzania. Specifically, the study was interested to assess factors affecting AI adoption in public hospital, examine health workers perception on AI adoption in public hospital and find out effectiveness of AI adoption in proper diagnostic of diseases for improving patient health in public hospitals. The study guided by Technology Acceptance Model. It employed quantitative research approach and survey research design. A sample size of 47 respondents was used where questionnaire were used in data collection. The study revealed that artificial intelligence was useful in diseases diagnosis as it provides accurate information pertaining to patient health; it is quicker in diseases diagnosis and quicker in predicting and diagnosis of patient health. The findings also posited that artificial intelligence is effective in monitoring heart attack and asthma in real time, AI is effective in managing health services, AI is also effective in improving diagnostic and patient. The study recommends the government to provide health workers with training regularly on how to use AI in diseases diagnosis.
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