Artificial Intelligence in the Healthcare Industry

 Artificial Intelligence in the Healthcare Industry 


Introduction to Research Area

          Artificial Intelligence (AI) defined by a branch of computer science that makes it

possible for machines to learn and adjust to new inputs controlled by a computer to do tasks that are performed by humans because they require human intelligence and discernment.

Artificial intelligence was discovered as an academic discipline in 1956 (Wikipedia).

It went through multiple cycles of optimism followed by disappointment. However, after 2012 was a huge increase in funding and interest (Wikipedia).

In 2022, global artificial intelligence was valued at US $136.55 billion. AI anticipated to become a US $1.3 trillion market by 2032 (AI for Business).

My goal and objectives from this research paper, is to illustrate the benefits behind using AI in the medical industry. Also, I would like to investigate and show how AI is included in many facets of the medical field work and responsibilities.

In addition, need to demonstrate its current application, security, concerns, ethical implication, and potential in the future. In my research paper, I will focus only on advantages from AI in healthcare industry.

 

Current Use of Artificial Intelligence in Medicine 

There are number of benefits behind using Artificial Intelligence in medical field and healthcare departments. First, analyzing patient’s data and quickly identifying patterns. Second, helping doctors make more accurate diagnoses. Third, develop personalized treatment plans for patients. For example, Robots that can assist with surgeries and other medical procedures. Finally, can improve a patient’s outcome by reducing the risk of complications and speeding up recovery times. Furthermore, patients can access their charts or medical records anytime and anywhere. Let’s talk about the overview of Artificial Intelligence in breast cancer medical imaging. I chose to talk about breast cancer because it has the second highest mortality rate by 2020 (Zheng, Dan, 2023). Breast cancer has decreased in its toxicity and become a malignant tumor with a better prognosis and treatment shifted to treat it as a chronic disease. (Zheng, Dan, 2023). This improvement happened because of the huge by AI in medical diagnosis. There are many AI equipment that are used to diagnose breast cancer that become the key management of the disease. For example, Mammography, Ultrasound, Magnetic Resonance Imaging (MRI), and Position Emission Tomography (PET) (Zheng, Dan, 2023).



Summary 

Artificial Intelligence boosts collaboration with a various type in the medical field. Whether patients visit medical facilities in person or virtually, AI may look into medical records, assist doctors and nurses in assessing a patient's condition and receiving individualized treatment. The development of contemporary sophisticated and advanced artificial intelligence tools has made significant advancements in perception, comprehension, the effectiveness of care delivery, monitoring for emerging complications, rapid and accurate disease diagnosis, and adoption of cutting-edge interventional techniques. For millions of people worldwide, AI can enhance care. By fostering accurate decision making and a deeper comprehension of human health, increase access to healthcare. It aids in the evaluation of success and outcome for a variety of malignancies is helped with these traits that can be obtained from scans, using algorithmic methods. With the help of data and computers that comprehend our new World. Artificial intelligence has the key to a fantastic future in which we will make a better decision. 

   




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