AI integrations in Medical Imaging

I know, here we are talking yet again about AI.

It's probably all you hear about right now, but there's good reason for that. It's everywhere, every industry is incorporating AI in some capacity into their world and the medical imaging space is no different. In fact, some of the most exciting and important AI developments are happening in this industry. Let me give you a run-down on some of these developments, as well as what impact this can have on recruitment efforts.

Personalised Treatment Plans

One way AI is being brought in to improve medical imaging is to help create bespoke treatment plans on a case-by-case basis. Using patients' medical history, genetic information, and results from scans, AI can create a treatment plan that will lead to the best outcome for each individual patient. AI taking over this aspect of the job frees up radiologists' time to focus on more complex cases and other aspects of patient care.

Earlier Detection and Prediction

Maybe the most important development of all, there are AI models being written and trained to detect the signs of diseases in a person before they fully develop. Using thousands (if not millions) of previous real scans, AI can use context clues to spot the signs of a developing disease before some doctors can. The most notable use of this so far has been in breast cancer screenings with AI being able to spot subtle abnormalities that the human eye might miss.

Streamlined Workflows

An increasingly common impact seen across every industry, teams are also looking into ways that AI can improve their daily workflows. Several routine, administrative tasks that would take up a significant proportion of a working day can now be completed in minutes with the power of automation, freeing up time for radiologists to focus on complex tasks.

What does all this mean for recruitment?

The rise of AI is changing the skills and traits that medical imaging companies are prioritising in a recruitment process. Companies are likely to start to look for and prioritise candidates with previous experience using AI tools or a skill set that lends itself to be able to adapt to the increasing use of these tools. 

Currently, there are not that many workers that can be called an AI expert within diagnostics, but they are in high demand across the industry. High demand for talent puts the candidate in a strong position to negotiate themselves a strong compensation package and will likely have their pick of roles to choose from. This means if you're looking to hire them, you have to make sure you're competitive.

Want to secure the best up-and-coming AI talent? Think about what you can offer that makes you stand out. Whether this is a high salary or a strong mission-led focus to your business, make sure candidates are aware of your employer value proposition and everything you could offer them.

What more insight?

I have conversations in the medical imaging space every day. If you're interested in other ways AI will affect recruitment in the industry or any other insights I've discovered, feel free to reach out on adam.leeder@fmctalent.com.