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I decided to research Artificial Intelligence in the Healthcare industry because I believe there are many benefits to it being in this industry and will grow the healthcare industry.  Since AI has been increasingly growing, it’s almost inevitable that it will soon be a part of industries especially in healthcare. There have already been many forms of AI embedded into healthcare practices, studies and procedures.  Throughout my Padlet wall, I will discuss three examples of AI in healthcare, the future trends and ethical considerations, the societal impact and my personal reflection/perspective of AI.  AI applications in the Healthcare industry is important to me because it can not only affect my health in the future but my loved ones as well.  Since the rapid growth of AI, I believe AI in the future will have an impact on treatment, medicine, and data, whether or not I need the support of this from AI. If AI could be a part of finding a diagnosis and procedures, I want to be certain it won't make a mistake. I want to be well studied in the role of AI in healthcare so in the future I can help and be a part of decision making for my loved ones, in case they need my help.  This is very important to me because typically, doctors suggest multiple treatments for someone's health if necessary, which most of the time people are unfamiliar with.  If I am aware of how AI can affect healthcare in the future, I can know the downsides and positives of AI usage.

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https://youtu.be/SxbzX1pKm6g

AI software being incorporated into healthcare brings in many opportunities and benefits.  One of those opportunities is treatment planning.  The AI machines have the ability to suggest treatments because of deep machine learning.  The software is able to analyze the patients data through lifestyle, genetics and records of health.  Through this process, AI platforms are able to suggest the most beneficial treatments based on the person's style of living and genetics.  So, if the AI system is able to find certain treatments through deep machine learning, the specific treatment given to someone would be extremely helpful.  The challenge of this is ensuring the patient's data and privacy is secured.  Because the AI system would be accessing all records and data of the patient, it’s difficult to be certain the information wouldn’t be leaked. I think it’s amazing to have the ability to suggest certain treatments to patients based on their lifestyle and ensure it’s the best option. I don’t believe the potential idea of your data being leaked would be a good idea, but if it has the ability to save someone you love or care about, to me it’s worth it. If the system could make more structures and policies to ensure the security of data and privacy, that would be the best outcome.

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AI in Precision Medicine: Benefits, Case Studies & Future Trends

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Healthcare: AI in Cardiovascular Analysis

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Healthcare: AI in Cardiovascular Analysis

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https://youtu.be/941kAUxNCnE?si=-qUxWzdOH-r9IrpA

Its known AI systems can make an impact in the healthcare industry, but more specifically it can make an impact in cardiovascular health.  The AI systems now have the ability to interpret the data of a patient with cardiovascular data more expertly.  The AI software uses image analysis to understand the data of the patient better when diagnosing and suggest treatments.  This system helps doctors and patients know exactly what is going on and how to effectively treat it.  This is extremely beneficial because it ensures the doctors don’t overlook important information when looking for a diagnosis.  The limitations of this would be the training staff members would need to go through in order to know exactly what to enter into the software system and what not to.  By doing this, the doctors will ensure the suggestions for treatment are accurate.  The system could also have transparency and data privacy issues when dealing with patients.  This is an issue overall with the AI systems and will continue to be, unless more structures and policies are set in place.  I believe this implementation of AI in healthcare, specifically cardiovascular health is too big of an opportunity to pass along.  When looking at data, doctors sometimes overlook certain information that is vital when diagnosing, so if the AI system is able to be a backup and support to ensure your observations are correct, that would be amazing.

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Artificial intelligence in cardiovascular diseases: diagnostic and ...

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https://youtu.be/lPAbrbFG4ak?si=p9AdOL6yFT4yeVsG

As I previously mentioned, the AI systems in healthcare have the ability to suggest the most beneficial treatment for a patient based on their data, but what if personalized treatment was created too?  Well, because the growth of AI is so rapid, the idea of personalized treatment is coming true.  Through “AI driven personalized medicine models”, the AI system has the ability to create personalized treatment based on the person's genetics and health records. The limitations to this technology is that it lacks transparency which makes it tough for the doctors and patients to comprehend the reasoning as to why they are recommending certain treatments.  It also lacks privacy and security of patients. But, since every human has different combinations of DNA, people respond to treatments differently.  So if treatments could be personalized, there would be a greater and better response to it. I think this is amazing because it would be a dream if the AI system could create certain treatments for people since not everyone responds in the same hopeful way. It’s not ideal that a patient's privacy and data is at risk, but these treatments because of AI would hold better responses to it.

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Future Trends and Ethical Considerations

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Future Trends and Ethical Considerations

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Since the rapid growth of AI, these systems have been able to accomplish the unthinkable.  In a few years, the systems will be able to achieve higher levels than they already have.  The future trends in the development of AI in healthcare will be a quicker process for developing drugs, testing the drugs for side effects, and reducing costs because of the speedy development of drugs.  These future trends can change the healthcare system as we know it today.  If the AI systems have the ability to speed up the process of making drugs for patients while reducing the costs as well, it would be a great accomplishment not only for patients but doctors as well.  The AI systems could also run “side effect assessments" on potential drugs to ensure the treatments/drugs are well developed and give an accurate description of its side effects.  The limitations and challenges faced by this idea is that because AI is growing so quickly, the developers still overlook certain aspects and are not trained well enough to ensure the safety of patients and doctors.  The developers creating this future trend in AI, still lack guidelines  to protect the privacy, data, security and still present bias in the system.  I personally think this trend toward the idea of AI developing drugs while testing them and bringing the costs down, would be extremely beneficial for everyone that needs help from healthcare and those that work in the industry.  It not only makes the patients wait less for their drugs, but also helps doctors take some of the workload off their shoulders.  I think it’s a bit concerning that because we still are getting used to AI systems within technology, it's hard for developers not to overlook ethical issues.  The developers are working extremely hard and fast to make AI bigger than we know it as today, so there will always be an issue with something being developed as quickly as AI.  Unless developers are able to incorporate guidelines, restrictions and policies into AI systems, this could be wonderful.  Until AI systems develop privacy, safety and security into their guildiness, I don’t think we should continue towards this trend.

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It is known that AI can invade data, privacy, security, transparency and create biases against users.  People argue that AI systems need to develop government structures or laws to prevent these issues.  One of those issues is the privacy of the user.  In order to complete certain tasks involving an AI system in healthcare, it requires past health records and data.  Because of this, we need to ensure it’s not invading more than the patients health records.  A patient's records and data could potentially be leaked with important information such as their address and billing information.  Not only do the AI systems cause privacy issues with society in healthcare, but it could also create bias.  The AI models are trained based on history and past data from other individuals, which creates a bias in the system.  There have been many controversial issues with healthcare in the past, so if the systems are still holding onto those ideas, then it could be biased.  The AI models could be biased toward a patient based on gender, race, religion and class.  This is extremely concerning in the healthcare industry because everyone deserves to be treated fairly when looking for help within health.  Not only this but if a physician enters in the wrong data to the AI system, this could also cause bias in diagnosing a problem.  This causes unethical issues when the system suggests wrong treatments due to the wrong data.  The last issue I will discuss about the impact in society from AI systems in the healthcare industry, is transparency.  The systems don’t provide clear guidelines of the AI systems and patients either overlook or not notice at all the warnings.  The AI structures need to be completely transparent when notifying patients or users of AI and how it could leak personal data.  These societal impacts affect my perception of AI in healthcare because it shows how unreliable the system is.  I say this because there could be little mistakes made by doctors that could screw up how the system responds to a patient's data.  Not only could there be mistakes from the doctors but the systems as well when being biased, lacking transparency and invading data privacy.  I think there's so many inventions that an AI system could be useful for in healthcare, but is too risky to fully indulge in.  I believe if government structures, laws or policies were implemented into these systems, these societal impacts wouldn’t be an issue.  We still need to research and learn more about the AI systems before fully integrating it into healthcare.  Not only this but healthcare workers need to be trained in AI systems before using this technology.

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Aritra , Saha., et al. “Harnessing the Power of Artificial Intelligence in Pharmaceuticals: Current Trends and Future Prospects.” Shibboleth Authentication Request, June 2025, www-sciencedirect-com.proxy.library.stonybrook.edu/science/article/pii/S2949866X24001217#sec3. [Rationale: This article explains the future trends of AI and how it effects the ethical issues in society.]

Karalis, Vangelis., et al. “Artificial Intelligence in Drug Development, Clinical Trials, and Healthcare.” Shibboleth Authentication Request, Mar. 2025, research-ebsco-com.proxy.library.stonybrook.edu/c/7tjnwz/viewer/pdf/jmdmwicefr. [Rationale: This article provides the information on one of the examples of AI in healthcare being cardiovascular image analysis.]

Kumah, Emmanuel. “Artificial Intelligence in Healthcare and It’s Implications for Patient Centered Care.” Shibboleth Authentication Request, 8 Sept. 2025, research-ebsco-com.proxy.library.stonybrook.edu/c/7tjnwz/viewer/html/3swdxvqn4r. [Rationale: This article entails information about one of the examples of AI in healthcare being treatment planning.]

Samara, Baraah. “Artificial Intelligence and Ethics in Healthcare .” Shibboleth Authentication Request, Dec. 2024, research-ebsco-com.proxy.library.stonybrook.edu/c/7tjnwz/viewer/pdf/gfqzg5fv5b. [Rationale: This article provides information about the societal impact of AI in healthcare, and its ethical considerations.]

Srivastava, Nidhi., et al. “Advances in Artificial Intelligence- Based Technologies for Increasing the Quality of Medical Products.” Shibboleth Authentication Request, Mar. 2024, research-ebsco-com.proxy.library.stonybrook.edu/c/7tjnwz/viewer/pdf/ceyfijdbm5. [Rationale: This article explains another example of AI in healthcare being personalized medicine.]

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Natalie Wilson Overview (Session 6;7- AI in Healthcare and Society).webm

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Throughout my research process on AI in healthcare I found out a lot of new information and truly how much AI can offer in healthcare.  Finding out exactly how AI can improve the development of medicines and improve diagnosing is very interesting to me.  Some challenges I overcame in my research was finding future trends of AI in healthcare.  I say this because when I would search for future trends more information about ethical considerations when using AI would come up instead.  I was eventually able to locate future trends but it was difficult to.  I think there's many ways AI can provide better solutions for patients' health then just a normal doctor could but there's too many negatives while providing these positives.  Each innovation would require the data and health records of a patient, and AI structures are not reliable enough to ensure a patient's data isn’t leaked.  With that being said, I don't think AI should be involved in healthcare until more government structures, policies or laws are created to ensure safety.  This overall has impacted my understanding of AI because it showed me how fast it’s growing and how many impacts it has on society today.  I believe the development of AI is great but definitely needs solutions to ethical issues.