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Healthcare has played a major role in society, from doctors treating illnesses, laboratory scientists creating cures, EMTs rescuing people, psychiatrists working with mental health, radiologists performing CT scans, etc, and without its presence, life would not be the same. Over the years, healthcare and medicine have been evolving in ways that have benefited society and many livelihoods with their advancements in technology, such as the MRI, which examines the human body without the harmful effects of X-rays, the creation of anesthesia during surgical procedures, and the awareness about health and cleanliness through the formation of public health organizations. But it doesn’t end there. With the rise of AI expanding across a variety of fields, healthcare, being one of them, has been revolutionized in ways that were not possible years ago. AI has helped doctors make fast and accurate decisions, improve diagnostic tools to detect diseases, monitor patients, organize data, assist with office tasks, personalize treatment, and much more. Additionally, AI could help healthcare workers handle responsibilities more easily so that important tasks would be more centered and thus significantly improve patient care. I decided to choose this field because it is relevant to my future career. Since I am interested in going into the medical field and becoming a doctor, I think it is important to be aware of new advancements in technology and innovation, and how they can affect my career. AI in healthcare is significant because it opens more doors to breakthrough research and possible treatments/cures to help people. Also, it would make tasks more efficient and quicker, providing extra support to healthcare workers and patients. In this padlet wall, I will cover the different examples of how the advancements of AI have impacted Healthcare, the potential trends of AI in the future, as well as ethical considerations, the social impact, and my overall thoughts.

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IBM Watson Health Imaging is a diagnostic imaging system that uses AI-powered tools and machine learning to help doctors detect abnormalities and diseases in the human body. This AI-driven technology uses cloud-based computing and analytic tools to improve medical imaging and patient care by efficiently analyzing radiology scans, detecting problems early and accurately, highlighting important details that medical professionals may have missed, distinguishing between benign and malignant conditions, and reducing time and human error. The cloud-based computing handles and processes large amounts of information and image processing, whereas machine learning simplifies categorization, detects minuscule anomalies, and performs segmentation. Both of these applications help speed up diagnoses while ensuring their accuracy. Although IBM Watson Health Imaging has shown many benefits and improvements in healthcare, there are still challenges that remain. Some challenges would include the AI tools training on incomplete and biased data, not always integrating into clinical workflow or environment, a lack an explanation for results, and its high cost.

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Wysa is an AI-powered chatbot that specializes in providing mental health support by using advanced algorithms, natural language processing, and neural networks. It supports people with mental health issues through human-like conversations and psychotherapy, such as cognitive behavioral therapy. It also helps in scheduling appointments, triaging symptoms, chronic disease management, and spreading health information. Not only has Wysa helped to provide therapeutic and preventative care, but it also reduces stigma, provides 24-hour service, reduces geographical barriers, is easily accessible, is cost-effective, and personalizes the care it delivers to patients. The limitations of this chatbot would be failure to understand the context of conversations, its repetitive responses, and a lack of natural flow when conversing.

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The Da Vinci Surgical System is a robot that helps surgeons with precision and control while performing surgery. The robot has arms that hold surgical tools and is operated by a surgeon through a console. The system uses robotic and computer-assisted technologies to provide enhanced precision, greater control, force haptic feedback, and advanced imaging to help surgeons efficiently perform challenging procedures and improve patient outcomes. Through this innovation, there are shorter hospital stays, smaller incisions, which would lead to minimal scarring, less bleeding and risk of infection, less recovery time, and organs and functions remain intact. Some possible challenges would be a lack of teamwork and communication due to the surgeon being away with the console, a lack of adaptability to the fast-paced and complex healthcare environment, the size of the machine compared to the operating room, equipment problems, and more.

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Future Trends and Ethical Considerations

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Future Trends and Ethical Considerations

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Some future trends would be AI tools and systems playing a critical role in healthcare as more hospitals and clinics adopt and implement AI in their environment. Healthcare professionals would rely on it more to assist with daily tasks and provide the best care to their patients. As a result of this, there would be more productivity and efficiency in medical-related environments, as well as a lot of money being saved. Other future trends would include autonomous AI enterprise agents that would be able to make decisions without human intervention, AI coding medical documentation, many healthcare workers turning to cloud-based automation tools to easily access patient data, shorter patient wait times, more recruitment of medical staff through AI-powered HR tools, and medicine would become more personalized for patients. With the increasing development and use of AI in the healthcare industry, Potential advancments of AI would consist of AI software and tools that facilitate faster drug discoveries, a recution in healthcare disparities through AI-powered telemedicine, enhancing robotic surgeries, decision support tools to help aide doctors, AI enabled wearable devices to monitor patient’s health, and so much more that could help revolutionize the field of healthcare. Despite the promising future of AI in health-related settings, some ethical considerations could pose as barriers to the development. Some ethical barriers include AI lacking human empathy in a field where it’s a necessity, incorporating algorithmic biases into diagnoses and treatment, and an overreliance on AI that could potentially deskill workers and put employees out of a job. There are also concerns over the privacy of patients’ data and challenges involving transparency and accountability in decision-making. Nonetheless, I believe the healthcare industry could greatly benefit from the implementation of AI in hospitals and clinics, improving work-life balance for healthcare workers while also providing the best care for patients. I believe that with the further development of AI in healthcare, everyone benefits, and life is overall better; however, it’s essential to acknowledge that some challenges may arise. I think the most concerning challenge would be maintaining the privacy of patients because breaches can happen and expose patients’ confidential information.

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AI in healthcare can have a positive societal impact as it assists with a variety of tasks quickly and efficiently, improving the well-being of healthcare professionals, as well as improving treatment and care for patients, leading to a longer, healthier life. On the other hand, AI in healthcare can also have a negative societal impact.  When it comes to AI involved with employment in the healthcare industry, there’s a trade-off. On one end, there could be more job opportunities and recruitment for people such as those involved in tech, but at the same time, there could potentially be job displacement for existing employees as there’s a growing reliance on AI. In my opinion, I believe AI can work side-by-side with healthcare employees effectively, but there needs to be boundaries set. AI tools should only be used to help enhance the work environment and assist with responsibilities, making it more efficient for both the workers and patients, not as a potential replacement. Another way AI in healthcare could impact society is by resulting in a lack of equity through biased results. There’s a lack of diversity amongst developers, and many of them aren’t fully aware of social issues. This produces serious consequences as certain groups of people aren’t given fair treatment in regards to health-related issues compared to other groups. There are already human biases in society that discriminate against minority groups, preventing them from receiving proper care, which can be fatal. Instead of AI implementing those same biases, I believe AI can be programmed to be more knowledgeable of people from different backgrounds while also providing unbiased and nondiscriminatory treatment. Confidentiality is an important aspect of healthcare, and AI uses a lot of patient data to help diagnose and treat, but this can lead to many privacy concerns. Without informing patients that their data is being used to train AI, there could potentially be a loss of trust between society and the healthcare system, turning people away from seeking out medical help and providing vital information that could be used to treat them. Data breaches could also occur as a result of not having adequate security systems, leaking confidential information that could lead to emotional distress and possible identity theft. But, with stronger protection of people's privacy with federated learning and regulations such as the EU’s proposed AI act, it can help restore trust among society to further use AI in healthcare settings, thus improving the livelihoods of people.

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When I was first researching articles about AI in healthcare, it was more of a broader search just to get started, but then I narrowed the research process into specific topics. To make the process easier, I created an outline and took down bullet notes based on the information provided and my thoughts. A major challenge I faced when researching was trying to find relevant articles that touch on specific aspects. From conducting research, I learned more about how AI has affected healthcare. Before that, I didn’t know much about the advancements made to assist doctors and improve health. I also learned about AI being used in operating rooms, such as the Da Vinci robot, and to analyze radiology scans to support doctors when making a diagnosis. Despite its challenges, I think AI could positively impact the healthcare industry, providing support in busy work environments while also enhancing the quality of care and treatment for patients. Overall, this research process has given me a better understanding of the power and influence AI has in important industries like healthcare and how it helps to create a better and easier life with its advancements, shaping the future of society.

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Basubrin, O. (2025). Current Status and Future of Artificial Intelligence in Medicine. Cureus, 17(1). https://doi.org/10.7759/cureus.77561 [This article discusses the future implications of AI in Healthcare while also addressing the ethical issues.]

Beenish Moalla Chaudhry, & Happy Rani Debi. (2023). User perceptions and experiences of an AI-driven conversational agent for mental health support. MHealth, 0. https://doi.org/10.21037/mhealth-23-55 [This article provides an overview of one of my AI examples: the Wysa chatbot, addressing its uses and setbacks through experimentation.]

Catchpole, K. R., Hallett, E., Curtis, S., Mirchi, T., Souders, C. P., & Anger, J. T. (2017). Diagnosing barriers to safety and efficiency in robotic surgery. Ergonomics, 61(1), 26–39. https://doi.org/10.1080/00140139.2017.1298845 [This article provides insight into robots being used to perform surgical procedures like the Da Vinci Surgical system (another AI technology example), studying its effectiveness and limitations.]

Dankwa-Mullan, I. (2024, August 22). Health equity and ethical considerations in using artificial intelligence in public health and medicine. Centers for Disease Control and Prevention. https://www.cdc.gov/pcd/issues/2024/24_0245.htm [This article discusses the ethical considerations of AI in healthcare, touching upon biases, privacy & confidentiality, and decision making.]

Gurumoorthi Gurulakshmanan, Bini Marin V, Seshagiri Rao Channapragada, R., Ajit S, Srinivasan, C., & Ayushma K. (2025). Advancing Medical Imaging with Machine Learning Techniques by Utilising IBM Watson Studio. IEEE Xplore, 1867–1872. https://doi.org/10.1109/iccsp64183.2025.11088799 [This article provides an overview of the use of AI medical imaging, IBM Watson Health Imaging (another AI example), while bringing forth the potential of this technology through research.]

How AI Has Transformed Healthcare’s Future. (2024). Bbc.com. https://www.bbc.com/storyworks/hpe-greenlake/how-ai-has-transformed-healthcares-future [This article provides an overview of the innovation in healthcare brought by AI, and how it is positively impacting the industry and society.]

How the Da Vinci System Works: A Look Inside the Operating Room. (2025, August 11). Trinity Health System. https://www.stmaryshealthcaresystem.org/blog-articles/how-da-vinci-system-works-look-inside-operating-room [This article demonstrates how the Da Vinci surgical system operates and its benefits.]

Martin, C. P., & Lamb, J. (2025, March 26). Generative AI in healthcare: Current trends and future outlook. McKinsey & Company. https://www.mckinsey.com/industries/healthcare/our-insights/generative-ai-in-healthcare-current-trends-and-future-outlook [This article shows how the use of generative AI in healthcare has proved promising results, shown through data, which could potentially affect the future.]

Md. Faiyazuddin, Jalal, S., Anand, G., Siddiqui, R. K., Mehta, R., Khatib, M. N., Shilpa Gaidhane, Quazi Syed Zahiruddin, Hussain, A., & Sah, R. (2025). The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency. Health Science Reports, 8(1). https://doi.org/10.1002/hsr2.70312 [This article discusses the positive and negative implications of the use of AI in healthcare as well as the ethical considerations.]

Michaud, M. (2025, September 24). UR Medicine Introduces Next-Generation da Vinci Surgical System. URMC Newsroom. https://www.urmc.rochester.edu/news/story/ur-medicine-introduces-next-generation-da-vinci-surgical-system [This article discusses the advancements of the Da Vinci surgical system, patients' benefits, and the future outlook of technology in healthcare.]

Pham, T. (2025). Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use. Royal Society Open Science, 12(5). https://doi.org/10.1098/rsos.241873 [This article addresses the ethical and legal issues surrounding AI in healthcare, as well as offers solutions to combat the issues.]

QIAN, Y., SIAU, K. L., & NAH, F. F. (2024). Societal Impacts of Artificial Intelligence: Ethical, Legal, and Governance Issues. Societal Impacts, 3(100040), 100040–100040. https://doi.org/10.1016/j.socimp.2024.100040 [This article discusses the societal implications of AI in a variety of fields, one of them being healthcare.]

The Da Vinci Robot: Robotic Surgery Explained for Patients –. (2025, May 22). Health Blog. https://healthool.com/the-da-vinci-robot-robotic-surgery-explained-for-patients/#google_vignette [This article discusses what the Da Vinci robot is about, how surgeons use it, the types of procedures used with it, patients' benefits, and the factors/risks.]

Veenendaal, A. (2025). The Future of AI in Healthcare – 2025. SS&c Blue Prism. https://www.blueprism.com/resources/blog/the-future-of-ai-in-healthcare/ [This article touches upon how AI is being used in healthcare, its limitations, the benefits, and what the future looks like with trends.]

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Overview Video (In case the others didn't work)

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Overview Video (In case the others didn't work)