AI’s growing influence on healthcare is of particular interest to me as I plan to work as a healthcare professional in the future. As a biology major, I believe that AI advancements can continue to transform research in areas like genetics and cancer. I also find it deeply meaningful that AI can be used to save lives and support the medical professionals who dedicate their careers to patient care. Having previously studied the intersection of healthcare and technology, I’ve come to appreciate how AI is not only a tool for innovation but also a force that challenges us to rethink ethics, empathy, and the human side of medicine.

In this Padlet, I will explore how AI is shaping the healthcare industry through diagnostic imaging, personalized medicine, and patient monitoring. The three main examples I will focus on are IBM Watson Health, Tempus, and Medtronic which represent major advancements that have redefined these areas of healthcare. Each of these examples illustrates both the potential and the responsibility that come with integrating AI into medicine, a balance I believe will define the future of healthcare practice.

What I find meaningful about this application is that it shows how AI can work alongside medical professionals rather than replacing them. Instead of removing the human role, it enhances it by reducing errors and allowing doctors to treat patients more effectively and efficiently. IBM Watson Health represents how technology and medicine can complement each other to improve outcomes and ultimately save lives.

I find this application especially fascinating because it shows how AI can bring precision and personalization into medicine. This advancement helps doctors create treatment plans specific to each patient's physiology and biology instead of using a universal treatment approach. This innovation not only improves patient outcomes and health quality but also represents a major step toward making healthcare more proactive, efficient, and compassionate.

I find this advancement meaningful because it shows how AI can directly improve a patient’s quality of life. It helps people living with chronic conditions like diabetes or heart disease, continuous monitoring and gives them more control and peace of mind. It also allows doctors to provide better care without waiting for symptoms to worsen. Medtronic’s use of AI demonstrates how technology can turn healthcare into a more proactive and patient centered system.

However, these advancements also raise serious ethical considerations. The use of AI in healthcare depends heavily on personal patient information which introduces concerns about privacy, data security, and informed consent. Another risk that AI poses is algorithmic bias, where unequal training data could

lead to inaccurate predictions for underrepresented populations. These issues show that while AI can enhance healthcare, it must be developed and used responsibly.

Personally, I believe the biggest challenge moving forward will be balancing innovation with ethical responsibility. AI should never replace human judgment or empathy instead it should strengthen it. Ensuring transparency, fairness, and accountability in AI systems will be essential to maintaining public trust as technology becomes a bigger part of medicine.

However, as AI becomes more integrated, it also brings challenges to the workforce. Automated systems may replace administrative and technical roles, which could lead to job displacement in certain areas of healthcare. At the same time, AI has created a demand for new roles, such as data scientists, clinical analysts, and AI ethicists. Another major concern is patient privacy. This is because large scale data collection increases the risk of sensitive information being misused or breached. Ensuring strong data protection laws and ethical standards will be crucial in addressing these risks.

Personally, I believe that AI’s greatest societal impact lies in how it reshapes the relationship between people and healthcare systems. While technology can make medicine more efficient, it should never make it impersonal. The true success of AI will depend on how well society balances innovation with compassion and equal access to care for everyone.

[Rational: This source explains how IBM Watson Health applies AI in diagnostic imaging and demonstrates how it enhances medical accuracy and decision making.]

Medtronic. (2023). AI-powered patient monitoring and chronic care management. Medtronic plc. https://www.medtronic.com/us-en/about/artificial-intelligence.html [Rational: This reference provides insight into how Medtronic uses AI for remote patient monitoring and predictive analytics in chronic disease management.]

Mesko, B., & Gyorffy, Z. (2020). The rise of the empowered physician in the digital health era: Viewpoint. Journal of Medical Internet Research, 22(3), e16684. https://doi.org/10.2196/16684 [Rational: This article discusses how digital technologies and AI are reshaping healthcare roles and patient engagement.]

Mittelstadt, B. D. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507. https://doi.org/10.1038/s42256-019-0114-4

[Rational: This source explores the ethical challenges associated with AI and emphasizes the importance of human oversight and accountability.]

Tempus. (2023). Revolutionizing precision medicine with AI and machine learning. Tempus Labs, Inc. https://www.tempus.com/technology/ [This publication explains how Tempus uses AI and genomic data to personalize cancer treatments.]

Topol, E. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7 [This article highlights future trends in AI driven healthcare.]

World Health Organization. (2021). Ethics and governance of artificial intelligence for health. WHO Press. https://www.who.int/publications/i/item/9789240029200 [This report provides global perspectives on AI’s ethical, social, and equity implications in healthcare.]