The role of artificial intelligence in medical decisions

Afsane Khoieshargh,1,* Naeema sadat kia,2 Amir mohammad zare nejad,3 Nilofar hedayat,4 Faeze rahimi,5

1. Semnan University of Medical Sciences
2. Semnan University of Medical Sciences
3. Semnan University of Medical Sciences
4. Semnan University of Medical Sciences
5. Semnan University of Medical Sciences

Abstract

Introduction

The term "artificial intelligence" was used in 1956. there is still no definitive definition of artificial intelligence that is accepted by all prominent scholars. due to the complexity of medical decisions, the use of information systems to support these decisions has grown.comprehensive medical decision support software is one of the software that uses artificial intelligence to diagnose symptoms based on symptoms, so that the user will see a list of possible illnesses by entering the symptoms of the illness into the computer. the exact history of the patient, file preparation, initial and supplementary inquiries, smart drug prescribing, prescription, disease information search, treatment, medication database, drug use, and drug side effects are among the benefits of this software. this software can also be more than two thousand illnesses and 300 ala in addition to the comprehensive information on 600 medical tests, 130 medical surgeries and 900 prescriptions were stored. the most prominent feature of this software is the simultaneous diagnosis and diagnosis of 1,000 and 500 diseases and 100,000 interactions between diseases and for help. more than 10,000 pages of physician texts, journals, articles and specialist images are collected by doctors in this application. with the help of two new ai programs, it is possible for physicians to diagnose heart-threatening life-threatening patients, as well as the treatment of open wounds without the need for routine and time-consuming treatments.

Methods

The study was reviewed and its data was collected through a search of internet resources and valid databases such as pubmed, google scholar sid.

Results

The results of the study showed that certified systems can detect 94.4% of all types of migraines and 93% of daily syndromes and 90.4% of ischemic abnormalities and 94.4% of arrhythmic pacemakers. also, these systems include strabismus and various types of cancers, the biopsy outcome is to predict recurrence and metastases with an accuracy of 70%. these systems, despite the benefits of using them in medicine with challenges such as: technology constraints and system costs, require these systems to be updated. continuously streamlining the opinions of a group of physicians that these systems reduce the initiative and the reluctance to cooperate with the knowledge engineer, the lack of standardized methods. expression of clinical conditions are understandable to the computer is facing.

Conclusion

According to the results of the study and findings, artificial intelligence has a great potential for improving medical decisions, but its successful implementation in medicine, in addition to the trust of doctors and users, requires attention to organizational, behavioral, social, economic, educational, and technical factors. if the challenges mentioned by researchers and practitioners are discussed to provide an appropriate response, one might expect that the user of these systems will increase in the medical profession.

Keywords

Artificial intelligence, medical decisions, expert system, challenge