On my Padlet wall, I start with an introduction to the healthcare industry by  explaining its challenges and showing the need for technological advancements. Then I will go through three specific uses of AI in healthcare. Specifically I will mention technology in personalized medicine through Butterfly IQ , patient monitoring through Plaud Notepin and AI in drug discovery through the Insillico Medicine example . For each example I will talk about the technology involved along with its benefits, and the challenges it may cause within the healthcare systems.In addition to these examples, I will address future trends in AI in healthcare, focusing on emerging technologies and ethical considerations such as privacy and data security. I will also explore the broader societal impacts, including how AI affects healthcare professionals, patients, and the economy.

Personally, AI in healthcare is significant to me because it has the potential to dramatically improve diagnostic accuracy and treatment personalization and lead to better healthcare outcomes. I have often seen how long it takes for my family members to receive treatments and treatment plans, so I am interested in how AI could reduce those times. Furthermore I want to learn how AI is affecting my future work sector. As a physician. At the same time I am concerned by the ethical challenges like privacy concerns and biases in AI systems. Medical data is very sensitive so it will be interesting how the data will be protected.

Personal Insights: I find Butterfly IQ to be very cool since it makes advanced diagnostics like internal imaging much more accessible. I find it very useful for underserved communities that can not afford access to the advanced healthcare tools they need.With this said,  I am still concerned by how the patient data will truly be protected 

Personal Insights: I am excited by this technology because it shows AI’s ability to improve preventive care. I like the idea of continuous health monitoring since it allows healthcare providers to help treat possible health issues before they arise. However, I am concerned by how affordable and available these advanced technologies are going to be, especially in underserved communities.

Personal Insights: I find the use of AI in drug discovery interesting because it has the potential to completely change how new medicines are developed and make it possible to find cures for diseases much faster. It made the process for drug discovery so much quicker as seen through the Insilico Medicine example. While the technology has a lot of potential, the main unpredictability of how a drug will interact with the human body no matter how much data is used remains a challenge. At the same time, AI’s potential to save lives through faster and more efficient drug discovery is still very exciting.

With these improvements, the increased use of AI brings important ethical questions. One main concern is data privacy. Since AI relies on large amounts of personal data to function accurately, we need to make sure that this data is protected from breaches. There is also the issue of bias in AI algorithms. If the data that the AI is trained on is  not diverse or representative, the AI could accidentally preserve  healthcare disparities which  affect underrepresented members of the population. Finally,  patient consent and the transparency of the use of AI in  decision making is important to maintaining trust in the AI systems.

Personally, I believe that while AI has a lot of potential to improve healthcare however the ethical issues around data privacy and fairness are very serious. They need to be considered very carefully to make sure that AI improves  the healthcare system equally and responsibly. It is still very interesting AI’s ability to be able to change the healthcare field especially with fast data processing. I am excited to experience the future of AI in healthcare.

Privacy is another concern. Since the use of AI often requires  large amounts of sensitive personal data like  genetic information and  medical histories, protecting this data is important. Breaches could remove patient trust in healthcare systems. We need to find a balance between using AI tools to help and protecting personal information to ensure patient trust.Equity is another main issue. AI has a strong potential  to improve healthcare access especially  in areas where medical help is hard to get. However, there is the  risk of AI perpetuating previously existing biases. If AI systems are not trained on diverse datasets, they may not work effectively with these underserved populations and accidently reinforce these inequalities. Also, access to these new AI technologies may be rare in low-income areas, thus causing inequality and less advanced treatments.

Personally, while I’m excited about the possibility of AI to improve healthcare, these societal impacts make me worried. We need to be able to ensure that  AI benefits all individuals regardless of their background  equally while also protecting privacy. We also need to ensure that AI does not get to the point where it takes away jobs. Finally we need to have ethics thought of with every step in AI to ensure safe and effective usage.

Personally,  this research has increased my understanding of AI’s power to change healthcare mainly  by improving efficiency and outcomes. However, it also helped me realize the  ethical concerns of using AI including privacy, bias, and equity. These need to be addressed to ensure AI is truly benefiting society without having many drawbacks.