Pranjul Shrivastava

Assistant Professor, Faculty of Pharmacy, Kalinga University, Naya Raipur

AI technology has become increasingly popular in healthcare, with its potential to revolutionize medical care. AI can help provide doctors with better insights into a patient’s condition, as well as improve the accuracy and efficiency of treatments. Additionally, AI can help reduce costs and provide better access to care for those in need. In this article, we’ll explore the benefits and challenges associated with using AI in healthcare. To begin, let’s look at the advantages of using AI in healthcare. First off, AI-driven systems can offer more accurate diagnoses by taking into account a wide range of data points which would be difficult or impossible for a human to process. Additionally, AI can help reduce medical errors by providing more accurate predictions about treatments and outcomes. Furthermore, AI-driven systems can automate mundane tasks such as paperwork, freeing up time for doctors to focus on treating their patients. Finally, AI-driven systems can improve access to care by connecting patients with the best providers regardless of location or financial constraints. However, there are some challenges associated with using AI in healthcare as well. For instance, there is always a risk that an algorithm could make mistakes due to incomplete data or incorrect assumptions about a patient’s condition. Additionally, there are still many ethical considerations when it comes to using AI-driven systems in healthcare; while it may be beneficial from a cost or efficiency standpoint, it could also lead to discrimination against certain patients based on their health history or other factors. Finally, there is always the possibility that data collected by an AI system could be misused or stolen by hackers looking to exploit personal information for financial gain. Despite these challenges, the potential benefits offered by using AI in healthcare are too great to ignore. By harnessing this technology responsibly and taking into account all potential risks and ethical considerations, we can unlock its full potential and use it to improve patient outcomes worldwide.

As the healthcare industry undergoes a digital transformation, artificial intelligence (AI) is playing an increasingly important role. AI has the potential to revolutionize healthcare and offers tremendous opportunities to improve patient care and outcomes. From providing faster diagnosis and treatments to improving patient safety, AI has already started to make an impact on healthcare delivery. In this article, we’ll explore how AI is being used in healthcare today and discuss some of the potential benefits of incorporating AI into healthcare. AI technology is already being used in a variety of ways across the healthcare sector. For instance, AI-based systems are being used for medical imaging analysis, helping doctors diagnose diseases more quickly and accurately. AI-based systems can also be used to monitor patients’ vital signs in real-time, alerting clinicians when there are changes that need attention. Additionally, AI can be used to provide personalized recommendations for treatments based on a patient’s individual health profile. AI-powered chatbots are also becoming increasingly popular as they can provide quick answers to common medical questions and help streamline appointment scheduling processes. Furthermore, AI-powered virtual assistants are being utilized in hospitals and clinics to help staff with administrative tasks such as managing patient records and billing information. The potential of AI in healthcare is immense and its use is expected to expand rapidly over the coming years. By leveraging this powerful technology, doctors will be able to diagnose illnesses faster and more accurately while providing better care for their patients. Additionally, with improved data analysis capabilities, healthcare providers will be able to identify trends more quickly and develop better strategies for prevention and treatment of diseases. Finally, with increased automation capabilities, healthcare providers will have more time available for direct patient care which could lead to better outcomes for patients overall.


1.       Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA 2013;309:1351–2.

2.       Kolker E, Özdemir V, Kolker E. How Healthcare can refocus on its Super-Customers (Patients, n=1) and Customers (Doctors and Nurses) by Leveraging Lessons from Amazon, Uber, and Watson. OMICS 2016;20:329–33.

3.       Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep 2014;16:441.

4.       Patel VL, Shortliffe EH, Stefanelli M, et al. The coming of age of artificial intelligence in medicine. Artif Intell Med 2009;46:5–17.

Kalinga Plus is an initiative by Kalinga University, Raipur. The main objective of this to disseminate knowledge and guide students & working professionals.
This platform will guide pre – post university level students.
Pre University Level – IX –XII grade students when they decide streams and choose their career
Post University level – when A student joins corporate & needs to handle the workplace challenges effectively.
We are hopeful that you will find lot of knowledgeable & interesting information here.
Happy surfing!!

  • Free Counseling!