This paper elaborates on discussing about how AI is helping in the development and advancement of the health care industry. It is highly efficient of enhancing the capacity of processing and storing huge amounts of data in intelligent way and translating information into the functional tools.
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Running head: ARTIFICIAL INTELLIGENCE IN HEALTHCARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE Name of the Student: Name of the University: Author note:
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1ARTIFICIAL INTELLIGENCE IN HEALTHCARE Artificial Intelligence (AI) is one of the significant contemporary issues in the field of healthcare and is likely to decline the current health care system by 2020 (Maddox, Rumsfeld & Payne, 2019). This paper shall elaborate on discussing about how AI is helping in the development and advancement of the health care industry. For improving the healthcare industry, artificial intelligence (AI) in the field of health care is indeed a good idea as it can improve the communication of patients with the healthcare professionals. Employees can function their best when they are capable of practicing at peak performance. It is highly efficient of enhancing the capacity of processing and storing huge amounts of data in intelligent way and translating information into the functional tools (Wong & Bressler, 2016). It creates some intelligent computer systems, which perform the tasks without receiving any instructions from the human beings. However, sometimes, during the implementation of any technology or software, because of shortage of knowledge, human beings do wrong and this adversely impact the equipment or the system. In the same way, implementation of AI also highly enhance the care delivery but sometime, can also be significant disruptive to the healthcare teams or providers (Vogenberg & Santilli, 2018). In the healthcare industry, artificial intelligence is benefitting in many ways. The ever increased availability and accessibility of the data along with the recent developments in AI have presented some unprecedented chances and opportunities in the healthcare industry and with the same, some major challenges for the regulators, patients, providers and developers. According to Jiang et al. (2017) the main aim of AI is mimicking the human cognitive functions. It is also claimed to be improving the human diagnosis system as the AI equipped product has the potential of sifting through the disease data, medical records, clinical studies as well as the health records of the patients too (Hamet & Tremblay, 2017).
2ARTIFICIAL INTELLIGENCE IN HEALTHCARE There are some diseases that need immediate action or else, they become much more serious. In case of AI, the neural network of the brain is look alike and at the same time, also have the potential of learning from the earlier cases. There are different researchers who have claimed that it is proven that all these networks could diagnose accurately and fast to the diseases like malignant melanoma, eye problems etc. With the same, it is also to note that AI also helps in reducing human errors (Hashimoto et al., 2018). It is known that the profession of a doctor is highly sensitive as doctors need to take care of minute details of each and each patients. In a single day, they could see huge number of patients and this could be very exhausting as it calls for knowledge and attention of the patient. Also, many of the times, because of shortage of activeness, human error could threaten the safety of the patient. For overcoming such instances, Artificial Intelligence can play the role of a super human spell checker who assist the doctors in eliminating the human error and relieving them from the time-consuming and monotonous tasks. It is highly efficient of enhancing the capacity of processing and storing huge amounts of data in intelligent way and translating information into the functional tools. Furthermore, it is also to mention that Artificial Intelligence also helps in cost reduction (Russel et al., 2015). With the emergence of new technologies like artificial intelligence, patients could get an access of doctor assistance without even visiting the clinics or hospitals and this results in cost cutting. It is also to note that AI assistants also provide some online care and at the same time, assists the patients in adding their data more frequentlythroughtheonlinemedicalrecords(Dilsizian&Siegel,2014).Moreover, technology of virtual presence, which is also known as telemedicine, enables the specialists in helping their patients to live at remote locations. Making use of remote presence robot, the doctors could engage more effectively with their patients and staffs in the clinics and hospitals and at the same time, assist and clear their queries more quickly and effectively.
3ARTIFICIAL INTELLIGENCE IN HEALTHCARE Hence,fromtheaboveanalysisitisclearthattheemergenceofAIinthe contemporary medical world is of a great help for both the doctors as well as the patients. It has some great application in the field of therapy planning, diagnostic assistance, generating alerts and reminders, image recognition and interpretations and all these are helping in ensuring effective risk assessment. Diagram on how AI helps in solving the issue of effective risk assessment in healthcare industry Artificial Intelligence (AI) in risk assessment image recognisti on & interpret ationEarly Detection Diagnosis Clinical decision support Generati ng alerts End of Life care Research Training Lifestyle manage ment and monitorin g Virtual assistants
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4ARTIFICIAL INTELLIGENCE IN HEALTHCARE References: Dilsizian, S. E., & Siegel, E. L. (2014). Artificial intelligence in medicine and cardiac imaging:harnessingbig dataand advancedcomputingtoprovidepersonalized medical diagnosis and treatment.Current cardiology reports,16(1), 441. Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine.Metabolism,69, S36- S40. Hashimoto, D. A., Rosman, G., Rus, D., & Meireles, O. R. (2018). Artificial intelligence in surgery: promises and perils.Annals of surgery,268(1), 70-76. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligenceinhealthcare:past,presentandfuture.Strokeandvascular neurology,2(4), 230-243. Maddox, T. M., Rumsfeld, J. S., & Payne, P. R. (2019). Questions for artificial intelligence in health care.Jama,321(1), 31-32. Russell,S.,Hauert,S.,Altman,R.,&Veloso,M.(2015).Ethicsofartificial intelligence.Nature,521(7553), 415-416. Vogenberg, F. R., & Santilli, J. (2018). Healthcare trends for 2018.American Health & Drug Benefits,11(1), 48. Wong, T. Y., & Bressler, N. M. (2016). Artificial intelligence with deep learning technology looks into diabetic retinopathy screening.Jama,316(22), 2366-2367.