• Investigating the performance of artificial intelligence on human behavioral genetics
  • FATEMEH DALVAND,1,* MOHAMMAD SOURI,2 MOJTABA KHAKSARIAN,3 ELAHE YARAHMADI,4 Hawzhin Shakarami,5
    1. Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran.
    2. committee nurse midwife Lorestan University of Medical Sciences Khorramabad
    3. Department of Physiology and Pharmacology, School of Medicine, Lorestan University of Medical Sciences.
    4. Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran.
    5. Student of Operating Room, Department of Operating Room, School of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran.


  • Introduction: Simulating human intelligence in robots designed to think and learn like humans is known as artificial intelligence (AI). Artificial intelligence (AI) is a general term that refers to using computers to model intelligent behavior with minimal human intervention. Artificial intelligence is creating a world that has never been seen before. By using artificial intelligence to do things that would otherwise take too much time, humans can improve our planet. One of the emerging fields that has been heavily influenced by artificial intelligence is human behavioral genetics. This study aims to investigate the performance of artificial intelligence on human behavioral genetics.
  • Methods: To conduct this study, a systematic search was conducted in valid databases including, sid, PubMed, Scopus, and Google Scholar. Keywords related to the topic including "artificial intelligence", "behavioral genetics", "human behavior", and "machine learning" were used. The identified articles were carefully evaluated and screened based on the titles, abstracts, and full text. Finally, out of 31 articles, 9 studies that were most related to the research topic were selected for deeper analysis.
  • Results: The findings indicate that machine learning (ML) enables the analysis of complex and large data sets. Artificial intelligence (AI) is gradually changing the practice of medicine. With recent advances in digital data collection, machine learning, and computing infrastructure, AI applications are expanding into areas previously thought to be the domain of human experts. With the rapid growth of biomedical data enabled by advanced experimental technologies, artificial intelligence (AI) and machine learning (ML) have emerged as indispensable tools for generating meaningful insights and improving decision-making. Artificial intelligence is significantly effective in identifying genetic patterns and human behaviors. Machine learning algorithms allow researchers to combine genetic data with behavioral data to identify complex relationships between genes and behaviors. Some studies have shown that artificial intelligence can help predict social and emotional behaviors based on genetic data. In addition, the use of deep neural networks in the analysis of large genetic data has helped to identify new patterns and predict human behavior. Also, AI allows researchers to quickly and accurately analyze complex data and provide reliable results. Artificial intelligence has a promising future in medicine. However, many challenges remain. Despite the great media attention to artificial intelligence (AI), for many professionals, the term and practice of AI remain a "black box", leading to exaggerated expectations on the one hand and unfounded fears on the other.
  • Conclusion: Artificial intelligence can act as an effective tool in analyzing and understanding human behavioral genetics. Due to the rapid developments in the field of artificial intelligence and data mining, this field is expected to develop significantly in the future and contribute to a better understanding of human behavior. However, the need for more research and more detailed investigations in this field is felt to achieve more reliable results.
  • Keywords: Artificial intelligence, behavioral genetics, human behavior, machine learning