I provided 3 sources that should be used and 2 more of your preference will be needed.
https://blog.petrieflom.law.harvard.edu/2023/03/20/how-artificial-intelligence-is-revolutionizing-drug-discovery/ (this is one of them and can be used anywhere in the essay)
INTRODUCTION- something about AI development and healthcare workers shortage after covid
Thesis: AI can be a revolucionary instrument that will work along with doctors to improve diagnostic accuracy, efficient healthcare menagment and creat personalized treatment plans.
BODY – approach these points and what add else you think is going to be relevent and enrich the essay.
Healthcare administration: Al can be used to automate tasks in healthcare administration, such as scheduling appointments, processing claims, and managing patient records. This can free up time for healthcare professionals to focus on patient care.
Diagnosis: Al can be used to analyze medical images and data to help doctors diagnose diseases more accurately. For example, Al-powered systems have been shown to be just as accurate as human radiologists at detecting breast cancer.
source for this topic: https://pubs.rsna.org/doi/full/10.1148/rg.220060
Prognosis: Al can be used to predict the course of a disease and the likelihood of a patient’s recovery. This information can help doctors make better treatment decisions and provide patients with more accurate information about their prognosis.
Treatment: Al can be used to develop new treatments for diseases. For example, Al-powered systems are being used to design new drugs and to optimize the dosage of existing drugs.
Personalized medicine: Al can be used to create personalized treatment plans for patients. This is done by taking into account a patient’s individual genetic makeup, medical history, and other factors.
source for this topic: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877825/
Present a contra-argument for these points:
Ethical and legal issues
Job displacement
Bias: Al systems can be biased if they are trained on data that is not representative of the population. This can lead to inaccurate diagnoses and treatment recommendations.
Al is still a relatively new field, and there are many challenges that need to be addressed before it can be fully integrated into medicine.
However, the potential benefits of Al for medicine are significant, and it is likely to play an increasingly important role in the future of healthcare.
CONCLUSION
*I Added a picture with guidelines*
