I chose the healthcare industry because I intend to pursue a career in this industry and would like to research more on how AI has been implemented and will continue to reform the industry. For my wall today, I will be discussing the implementation of AI into the various sections of healthcare and the impacts, pros and cons as well as future trends with them. Personally, my decision to pursue a career in healthcare stems from my attraction towards Neuroscience from a young age. With the advancement of AI, I would definitely love to know more about its implications within the industry and the pros and cons going forward.

Technology Used :

• Machine Learning

• Computer Vision

• Deep Learning (especially convolutional neural networks)

Benefits :

• More accurate and faster diagnoses

• Consistent results

• Early disease detection

• Reduces doctors' workload

Challenges :

• Needs large, high quality datasets

• Risk of bias in AI models

• Lack of transparency in decision-making

• Difficult to integrate into healthcare systems

• Privacy and regulatory issues

Personal Insights : I feel like AI in this section of the healthcare system is definitely something that is resourceful and will benefit everyone worldwide however I am also fearful of the possibility of the diagnostics being incorrect for several patients. Would people still want to acquire an education in the industry if all the work can be done by AI. If we do have a stable harmony of human and machine doctors, where do we the draw the line of authenticity of the diagnosis and who could the patients rely on or trust if they need help?

Technology Used :

• Natural Language Processing (NLP)

• Machine Learning

• Speech Recognition (for voice-based assistants)

Benefits :

• 24/7 support for patients

• Reduces burden on healthcare staff

• Improves patient engagement and self-care

• Fast and consistent responses

Challenges :

• Limited understanding of complex or emotional queries

• Accuracy depends on quality of data and training

• Privacy and security concerns

• Not a replacement for real medical professionals

Personal Insights : I have definitely seen the implementation of VHAs in healthcare recently and even though they are helpful and efficient to work with, sometimes I would prefer to talk to a human because it feels closer and more dependable. I have experiences circumstances where AI chatbots couldn't provide the same emotional stability as humans in cases of serious questions or inquiries.

Technology Used :

• Machine Learning (to detect patterns and predict issues)

• IoT (Internet of Things) devices

• Data Analytics

Benefits :

• Continuous, real-time health tracking

• Early detection of health problems

• Reduces hospital visits and readmissions

• Improves care for chronic conditions

Challenges :

• Data privacy and security risks

• Dependence on reliable internet and devices

• Accuracy and reliability of sensors

• Not suitable for all patients (e.g. elderly with technological barriers)

Personal Insights : I feel like this is definitely a beneficial addition to the industry because a lot of times people are unable to visit doctors in person and so having a wearable devices would help to reduce risks of major emergencies. On another note, these devices can be expensive and for people with almost no access to healthcare, these wouldn't really help. I hope in the future, these devices can be affordable by the majority of a population so secluded countries or areas within a country can receive healthcare without having to worry about traveling thousands of miles.

Although these developments sound beneficial and exciting, they do raise some serious ethical questions. A major concern would definitely be privacy. AI systems would need a lot of personal health data to work, which could be misused if not handled properly. Bias is another issue. If an Ai is trained on data that lacks diversity, it might not work well for all groups of people, which could lead to unfair treatment. And of course, there is transparency. Sometimes it's hard to understand how AI makes decisions, which can be a problem in situation where people's lives are on the line.

Overall, AI has the potential to do a lot of beneficial good in healthcare, but it has to be used responsibly. Which means building fair, secure, and understandable systems that would support healthcare workers, not replace them.

Personal Insight : I feel like I definitely agree with the future trends and consideration of ethical use with AI because in present times, most of there future trends are going into effect and if people do not feel secure with AI, the healthcare industry might have to fully cease the usage of AI or come up with better alternatives. As much as we love AI, it can definitely be detrimental, especially in an industry where we have to fight between life and death on a daily basis.

On a broader scale, there are certainly concerns about over-reliance on technology. While AI can support healthcare workers, it's important that human judgment remains central in healthcare decisions. Overall, AI has the potential to make healthcare more accurate, efficient, and accessible, but only if we address the social and ethical issues that it will bring along.

While researching, I did stumble upon some articles where I could find a clear bias, some towards and some against AI, which really hindered with my evidence because it was affecting the neutrality of the research. I tried to find papers which had a neutral stance and talked about AI in healthcare in general without addressing any personal issues they might have suffered through AI. Another big challenge was finding these papers from credible sources. A lot of the articles and papers that I found to be interesting and worthy of adding to my research often time were not authentic and that led me to a block during the completion of the assignment. I always use the RAVEN method, however, some websites looked very credible and were impossible to determine if it was generated by AI or actually researched and written by a human.

I think AI will definitely be beneficial in the healthcare industry and will lead to much more efficiency and advancement in terms of diagnosis and treatments. However, like I mentioned before, there are surely concerns of certain things with AI and we will need to monitor these tools carefully in order to respect the privacy and benefits of the workers as well as patients. I would love for AI to be used a tool, rather than the ultimate problem-solving machine in the industry. I am also very excited and intrigued to see how far AI will lead to advancements in the industry and what other inventions will make the day of light.

(This article talks about AI transforming healthcare by improving diagnosis, treatment, and efficiency, but its success depends on addressing ethical, privacy, and implementation challenges.)

Ellis, L. D. (2024, August 30). The Benefits of the Latest AI Technologies for Patients and Clinicians. Harvard Medical School. Retrieved October 17, 2025, from https://learn.hms.harvard.edu/insights/all-insights/benefits-latest-ai-technologies-patients-and-clinicians

(This article talks about how AI is transforming healthcare by enhancing efficiency, diagnosis, treatment, and decision-making, while encouraging clinicians to adapt and learn its use.)

Thaldar, D., & Bottomley, D. (2025). Correction: Public trust of AI in healthcare in South Africa: results of a survey. BMC Medical Ethics, 26(1). http://dx.doi.org/10.1186/s12910-025-01293-3

(This article talks about AI is transforming healthcare by automating tasks, enhancing diagnosis and treatment, and supporting clinicians in delivering better patient care.)

Mandelia, A., Rengan, V. S., Mehta, A. R., Vankam, A. V., Babu, R., Biswas, S. K., & Agrawal, V. (2025). Artificial Intelligence Use in Daily and Professional Life among Pediatric Surgeons in India: A Roadmap for Adoption Based on Online Survey Results. Journal of Indian Association of Pediatric Surgeons, 30(3), 361+. http://dx.doi.org/10.4103/jiaps.jiaps_306_24

(This article is a national survey of pediatric surgeons in India that revealed growing interest and cautious optimism toward AI integration in clinical and research practice, highlighting the need for targeted training, ethical guidelines, and strategic implementation to fully harness its potential.)

Ralla, B., Biernath, N., Lichy, I., Kurz, L., Friedersdorff, F., Schlomm, T., Schmidt, J., Plage, H., & Jeutner, J. (2025). How Accurate Is AI? A Critical Evaluation of Commonly Used Large Language Models in Responding to Patient Concerns About Incidental Kidney Tumors. Journal of Clinical Medicine, 14(16). http://dx.doi.org/10.3390/jcm14165697

(This article talks about a study that found that Google Gemini provided the most accurate and complete responses to patients about incidental kidney tumors, through all LLMs require cautious use in clinical settings.)

Chustecki M. (2024). Benefits and Risks of AI in Health Care: Narrative Review. Interactive journal of medical research, 13, e53616. https://doi.org/10.2196/53616

(This article highlights that while AI offers significant benefits in healthcare, such as improved diagnostics and efficiency, it also poses risks, including bias, privacy concerns, and lack of transparency, requiring careful oversight for safe implementation.)

https://youtu.be/uvqDTbusdUU?si=0X0RPy8ZSQQ3uNii

(This video talks about the immense potential that AI holds to transform healthcare by personalizing treatment, improving efficiency, and aiding complex diagnoses like cancer, but its effective and equitable implementation is challenged by outdated regulations that inhibit its ability to learn and the critical risk of data bias in training models.)

https://youtu.be/wD1qn2i3Wb4?si=lVZvyyI4wO-jcH0g

(This video talks about AI presenting a powerful opportunity to improve personalized treatment and diagnostic capabilities in healthcare, its effective deployment is severely hampered by outdated regulations that restrict its learning capacity and the persistent risk of bias from non-representative training data.)

Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: transforming the practice of medicine. Future healthcare journal, 8(2), e188–e194. https://doi.org/10.7861/fhj.2021-0095

(This article talks about how AI will fundamentally transform medicine by augmenting human effort to deliver personalized, data-driven, and cost-effective care, but its success relies on responsible, human-centered development and integration into clinical workflows.)

Dhillon, G. M., Grewal, H. M., Buddhavarapu, V. M., Virmani, A., Surani, S. M., & Kashyap, R. M. M. (2024, May 01). Humanity at the Crossroads: Ethical Implications of AI in Medicine. The Hospitalist. Retrieved October 17, 2025, from https://www.the-hospitalist.org/hospitalist/article/36988/hospital-medicine/humanity-at-the-crossroads-ethical-implications-of-ai-in-medicine/#:~:text=The%20use%20of%20AI%20in,communicated%20with%20sensitivity%20and%20empathy.

(This article talks about AI at an ethical crossroads in medicine, where its potential to transform care is challenged by the need to mitigate algorithmic bias, ensure patient consent and autonomy, and preserve the essential human empathy in the patient-provider relationship.)