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.