I definitely see similar changes coming to biomedical companies as we’ve seen in other fields like software engineering and automotive technology. For instance, AI is already transforming medical devices, with advancements such as autonomous robotic surgery and sophisticated prosthetics. AI-powered prosthetic hands and legs are examples of how automation is enhancing functionality and adaptability, improving the quality of life for users. These innovations suggest that AI will increasingly influence the biomedical sector.

The impact on management and employees in this field will be significant. Management will need to navigate the integration of advanced AI systems and ensure their teams are equipped to handle these technologies. This might involve a shift in skill requirements, as employees will need to adapt to new roles focused on overseeing and optimizing AI-driven devices. While automation might change traditional job functions, it also creates opportunities for growth in areas such as AI system design and maintenance. Overall, as biomedical companies embrace these advancements, the industry will likely experience a transformation similar to what’s occurring in other tech-driven sectors.

It does not seem plausible that AI is going to control the medical industry but it may significantly transform and enhance it. AI is a powerful tool that is intended to help healthcare professionals, not to replace or control them. Massive amounts of data can be analyzed and patterns can be identified by AI to help with diagnosis, treatment planning, and patient management. Still the doctors/physicians are the ones to make final decisions  based on their judgment, ethics, and experience.

AI systems have limitations, such as the possibility of errors, biases, and a misunderstanding of complex human events. The complexity and variations of human health demand the adaptability and ingenuity that only human professionals hold.AI can change the medical industry through improved productivity, precision, and patient care, but it cannot control it. It may function as a cooperative tool with human professionals preserving complete control and decision-making authority.

A significant ratio of the employee population in the medical sector are involved in information technology, data analysis and related computational works. Rapid development of AI tools may show an impact over these job positions in the near future.

As AI technology advances, it is almost a given that there will be changes affecting the medical industry. AI completely controlling the medical industry, however, I think is unlikely. AI will definitely be implemented more into data analysis and automating manufacturing of medical devices. It has also shown promise in its ability to personalize medical treatments and detect health issues before they become critical. On the other hand, human decision-making will always be crucial in the development of new medical products and the ethical concerns around doing so. Employees bring creativity and problem-solving skills that are challenging for AI to replicate. 

I believe it is unlikely that Artificial Intelligence will "control" the medical industry, however, it will play an increasingly important role. One example used today is IBM's Watson artificial intelligence model. Watson has been used in oncology to analyze medical documentation and patient data to recommend personalized treatment plans for cancer patients in recent months. In this aspect, AI has enhanced diagnostics in automating routine tasks, however, human oversight is still important for determining complex judgments. Watson can use data to determine the best course of action for a treatment plan, but it is unlikely that this treatment plan takes into account the preferences of the patient. For example, although a certain medication may be preferable, it may not be suitable for the lifestyle of a patient. This is a determination that must be made with human expertise and empathy, something not programmed into Watson. 

Over time, artificial intelligence will likely be able to handle more complex tasks, possibly even resembling intelligence close to empathy. Empathy involves complex emotional processes and is often tied to human experiences and consciousness so it would be difficult for artificial intelligence to empathize, however it may be able to simulate empathy. This would likely be from pattern recognition and mimicry rather than awareness and emotional experience however. If this was possible, then it may be possible for artificial intelligence to take "control" of the medical field as both empathy and medical care stand as the two important pillars for patient care.

AI is here to stay in this field, and most fields I think, but I don't believe it will be the job destroying juggernaut it is sometimes made out to be. The use-cases I have seen AI be of great benefit are data analysis, mainly finding relationships between different variables and which characteristics of these variables are driving the relationship. AI is incredible at doing this with very large multidimensional data(time, frequency, amplitude, categorical) in a way that a human would never be able to reasonably do by hand. However, it still takes someone with subject matter knowledge, both of the variables being analyzed and how the AI models being used work, to visualize and interpret the findings.

I believe, at least for the current and decently near future, that AI will mainly be a great tool to use for researchers and industry alike, but it is not advanced enough to replace most human workers.

I’ve seen new technology being developed such as AI in personalized healthcare monitoring systems. Also, there have been huge advancements in AI assisted surgery. It seems that although AI is a powerful tool, and showing its autonomous capabilities, I don’t think that it’ll control fhe Biomedical industry. It cannot replace the creative process of solving problems, and decision making skills that we have over AI. AI is only limited to use as a tool to improve systems that were originally created by human engineers. It cannot create new solutions that humans have not already thought of before. 

AI can be a useful tool in the medical device industry if used appropriately. I hope that AI can continue to drive sustainability efforts in the healthcare and medical device industries. Common challenges that AI can address include managing inventory, automating processes, and reducing a high carbon footprint. I recently learned about the circular economy for medical devices. A circular economy means reducing disposable products in favor of products that can be reused then easily recycled or repaired which AI can help with. 

I agree about the importance of human oversight and creativity in the medical device industry. I also think it's important for marketing and maintaining positive relationships with customers. In-person or hybrid demonstrations can have a higher impact on education, feedback, collaboration, and investigations.

AI is becoming a very hot topic because it has the ability to work swiftly and efficiently, but it is lacking due to its errors which are based on the learning models that it is being presented. If for example, another AI was able to misdiagnoses a disease and that diagnosis is used to teach another AI, then the cycle will continue and that AI is simply going to continue to create errors. It will be hard for the AI to be perfected and thus I do not think that it will be able to surpass or even replace the medical industry because it lacks the ability to create concepts and ideas, but it can simply break things down into a yes or no sort of concept. That is very the human brain is going to always be needed because the AI can just follow the tasks that it was assigned but thinking of actual new inventions especially in the medical field. If the focus became on just using AI, then it definitely would not go stagnant because the ingenious inventions are what keep fostering growth. 

Furthermore, AI needs a lot more time to become fully trustable, it will always make mistakes just as humans, but it is more likely to because of the information that it is fed, so doctors will still need to be around to ensure that it is accurate. However, it is simply useful for helping gather information from many people and helping to organize it. For example, if a small country was asked questions from an AI about their symptoms and then the AI would be able to find the patterns and make it easier to notice trends that can help to identity certain traits the doctors need to look out for when confirming. AI is made to be a tool that can make life easier and get help to more people on a faster scale, but it is not made to full replace an industry that depends on thinking and creativity. 

AI is transforming healthcare, but it cannot fully control the medical industry. Human expertise, judgment, and empathy remain essential in diagnosing and treating patients. AI systems rely on data and algorithms, which may have limitations or biases that require human oversight. Doctors and healthcare professionals are responsible for making final decisions to ensure patient safety and ethical care. Therefore, AI will act as a supportive tool, not a replacement for human control in the medical industry.

I don't think AI will be able to completely control the medical industry, since every major technological advance has historically created new opportunities for human involvement rather than eliminating it entirely. I think AI will be a significant stepping stone in making medicine effective, as there are many misdiagnoses in the field, and AI will be able to help a physician see other perspectives. That said, physicians and other healthcare workers will need to develop a new skill set: learning how to interpret and apply AI output responsibly.

This ties into my point regarding the new opportunities that come into play with advancement. I think the advancement of AI is excellent for medicine, as long as physicians know how to use these advancements to their advantage and to treat their patients properly. AI will not control the medical industry, but it will be very helpful and possibly change the jobs of physician assistants or other employees. These people can focus on more pressing medical matters or find a way to integrate with AI.  

However, there is also a concern of overreliance. If physicians blindly trust AI or do not focus on their base knowledge training hard enough, with the advent of AI in education, then errors can go unchecked. Additionally, compassion and treating the patient along with the disease will become evermore essential if regular patient rounds ever get replaced with AI and machines, as a human-to-human connection is critical in comprehensive and effective care. For the industry, engineers must also think about ways to make patient care feel more connected while making it more effective. If patient feelings are not taken into account, making more "effective" medical devices could lead to a loss of compassion, ultimately leading to poorer outcomes. 

Cultural lag is a sociological term that describes how non-material culture, such as values, norms, and laws, struggles to catch up with rapid changes in material culture like technology and infrastructure. Do you think we are adapting quickly enough with the advances in AI, or are we facing an increasing cultural lag in residency, medical, and industry programs? 

AI is already transforming industries like software and autonomous vehicles, so it’s likely biomedical companies will experience similar changes. Tasks such as data analysis, image processing, and clinical trial simulations could become automated, improving efficiency and reducing errors. This shift will impact both management and employees. Managers may focus more on overseeing AI systems and integrating insights into decisions, while employees could spend less time on repetitive tasks and more on problem-solving, innovation, and collaboration. I say this because of what my friends tell me when they come back from their internships. A handful of them have used AI in most of the projects because it was proficient, and some of their companies even encouraged it because it reduced the amount of time they would spend researching new things. It will also increase the demand for skills in AI, data analysis, and machine learning. Overall, I believe AI is likely to augment rather than replace human work in biomedical companies. The challenge will be ensuring employees are trained to work effectively alongside these tools.

I do not think AI is going to completely control the medical industry, but it is definitely going to become a major part of it. In my own experience working with biomedical projects, I have already seen how AI can process EMG signals, detect patterns in imaging, and even help predict patient outcomes much faster than we could on our own. What is exciting is that these tools do not replace the clinician’s judgment, but rather enhance it by giving faster, more accurate insights. I think the industry will always rely on the expertise and empathy of healthcare professionals, but AI will keep expanding its role as a decision-support system rather than being in control. AI has progressed tremendously recently and will continue to progress as a powerhouse of efficiency, but what is critical is for it to remain accurate. For instance, if AI is applied to interpret imaging results in the context of early cancer detection, even a minor inaccuracy could lead to a missed diagnosis or an unnecessary intervention. With a influx of unlimited data (accurate and inaccurate), how can we ensure that these technologies remain not only efficient, but consistently reliable especially with high stakes?

I do not believe that AI is going to control the medical industry but I do think it is going to change it. I believe that AI has the potential to affect the industry efficiently but it is not able to do everything that humans can do. I don't think AI is going to completely replace working humans. AI definitely does have the ability to deal with quality control and things like supply chain but I don't think it can take the place of the interactions with healthcare professionals. I think AI can make things move faster but the industry needs to catch up with these changes.