Balancing Technology and Humanity: Perspectives on AI in Healthcare

Literature Review

Human-computer and artificial intelligence are combined by HCI (human-computer interaction) Nazar, M., Alam, M. M., Yafi, E., & Su’ud, M. M. (2021). Artificial intelligence makes things easier, quick, and accurate for patients as well as doctors all over the world Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., & Cherubini, A. (2022). In the healthcare sector, AI includes tremendous ways like drugs, discovery, pathology, monitoring patients, radiology, etc. Fatima, I., Grover, V., Raza Khan, I., Ahmad, N., & Yadav, A. (2023). Proper knowledge of the advantages, disadvantages, and characteristics of AI is a must for healthcare providers and this can be achieved by doctors through proper training and development programs with the adoption of the latest Artificial intelligence in hospitals or healthcare centers Hryciw, B. N., Fortin, Z., Ghossein, J., & Kyeremanteng, K. (2023). In the healthcare domain, semi-structured interviews will be conducted for the adoption of human and artificial intelligence collaboration Hemmer, P., Schemmer, M., Riefle, L., Rosellen, N., Vössing, M., & Kühl, N. (2022). Healthcare sectors also ensure about the safety and security of the personal data of patients Reddy, S., Rogers, W., Makinen, V. P., Coiera, E., Brown, P., Wenzel, M., ... & Kelly, B. (2021). Just because plenty of work to healthcare workers, a shortage of knowledge of artificial intelligence in the healthcare sector sometimes human-AI collaboration mitigates Lai, Y., Kankanhalli, A., & Ong, D. (2021). The motive of healthcare is to become more effective, personal, quick, predictive, preventative, and participatory. AI can assist standard decision support systems (DSSs) Rong, G., Mendez, A., Assi, E. B., Zhao, B., & Sawan, M. (2020). A trustworthy problem is with the AI and human individual interactions Procter, R., Tolmie, P., & Rouncefield, M. (2023). Talk about healthcare and AI, involves four issues that are responsibility, transparency, fairness, and privacy, and these things are neglected and are social arrangements Smallman, M. (2022). Best-quality images are possible with artificial intelligence like Image Net which is very helpful for healthcare professionals Pereira, T., Morgado, J., Silva, F., Pelter, M. M., Dias, V. R., Barros, R., ... & Oliveira, H. P. (2021, June). Predictions made by artificial intelligence depend on the healthcare professionals and how they explain it Zhang, Z., Genc, Y., Wang, D., Ahsen, M. E., & Fan, X. (2021). In the healthcare center Projects related to artificial intelligence require awareness of data analysis and data collection and skills to manage Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). Healthcare professionals and researchers attract from artificial intelligence to healthcare and try to innovate and explore more related to it Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). Healthcare systems changing and transforming rapidly in this digital era Kaur, J., & Mann, K. S. (2018). Sometimes the confidence of healthcare professionals is less due to limited skills in artificial intelligence Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., & Cherubini, A. (2022). Healthcare term 4.0 shifted to healthcare 5.0 includes smart technologies, a few new and advanced models through research, virtual and augmented reality Saraswat, D., Bhattacharya, P., Verma, A., Prasad, V. K., Tanwar, S., Sharma, G., ... & Sharma, R. (2022). Detection of disease timely with artificial intelligence saves patients from future uncertainties with their health Pal, P., Grover, V., Nandal, M., Gochhait, S., & Singh, H. V. (2024, January). Healthcare is integrated with artificial intelligence only for transformation and revolution in healthcare sectors Lysaght, T., Lim, H. Y., Xafis, V., & Ngiam, K. Y. (2019).