蜜桃TV

There鈥檚 been plenty of buzz about artificial intelligence, from sci-fi flicks fretting about a dystopian future to real-life tech leaders fretting about, well, a dystopian future.

The truth is, A.I. already makes a huge positive impact on our daily lives, whether keeping hackers out of our data or recognizing and fixing human error before it causes real harm. In Philadelphia, where our biggest tech innovations often come tied to our growing healthcare industry, that can even mean helping to save lives.

Jessica Yarnall '20 MS is a graduate of 蜜桃TV鈥檚 master鈥檚 program in Computer Science. In her academic work and in her work as a data analyst at a local children鈥檚 hospital, she鈥檚 studied and contributed to the major fields of artificial intelligence, from machine learning in data security to deep learning in the healthcare space. We spoke with Yarnall to find out how her career connects with the biggest issues of today, from the pandemic to national security.

Backing Up the Medical Staff

The pandemic has brought attention to the demands of being a healthcare worker. Long hours and limited resources make for a stressful job for medical staff, in addition to what鈥檚 already difficult and complex work where a single error can mean the difference between life or death.

Yarnall鈥檚 academic work sought to ease that burden a bit.

Yarnall always knew she wanted to help people through healthcare, but she became interested in the analytical side when working in healthcare billing. When she saw that Villanova offered in-person night classes in data science, and she could combine her interests through projects on healthcare, she鈥檇 found a place where she could forge a path to a new career and improve patient outcomes.

鈥淚t really stemmed from the patient; my interest is that I want to feel like I鈥檓 helping people,鈥� Yarnall says.

Her work therefore posed the question: What if artificial intelligence could recognize likely signs of a problem in patients, and help flag issues that the medical staff might have a hard time finding otherwise? To find the answer, Yarnall attempted to train an A.I. to recognize warning signs in chest X-rays.

鈥淲e trained and tested it to see how good the algorithms could become at detecting pathology to help physicians understand if there was a particular area of the X-ray they should pay attention to,鈥� Yarnall said. The results of her research contributed to a growing body of work that could aid medical staff in recognizing potential issues with the patient, a kind of safety fence that accounts for human error.

Stopping the Hack Attacks

The ever-growing threat of cyberattacks becomes more concerning as our daily lives grow increasingly dependent on digital programming, from robotically assisted surgery to stock market algorithms.

Yarnall鈥檚 research at Villanova extended to defense against adversarial attacks, a kind of attack that breaks image-recognition software.

鈥淚t鈥檚 where a computer algorithm changes an image so that a human may still recognize an image, but a computer is no longer able to read the image for what it is,鈥� Yarnall says. Skilled hackers can change a single pixel to throw off image recognition software.

According to Yarnall, this becomes especially concerning when you consider that a simple change to the image processing of a smart car can make it unable to read stop signs, or alterations to your phone result in you being locked out from it.

Yarnall was part of a team that used machine learning to run through multiple different image transformations and determine how to reconstruct a readable image automatically鈥攔esearch that was then published and contributed to a large body of research on digital defenses in this area.

That ability to make subjects interesting while connecting them to the real world is one element of her education that drove Yarnall forward in the field.

鈥淎t Villanova, we were able to pursue whatever interested us,鈥� she says. 鈥淲e had professors who would tie the subject back to the real world, and always felt passionate.

Helping the Hospital Help You

There鈥檚 been a lot of talk about waste in the healthcare system in recent years, a conversation that became even more urgent with the pandemic. As hospitals became hard-pressed to ration masks, beds and more, the logistics of supply distribution became critical.

Yarnall is part of a growing wave of data analysts entering the healthcare space to improve operations in the years leading up to the pandemic.

鈥淓very field has a need for a data analyst, and especially healthcare,鈥� Yarnall says. 鈥淚 knew the job market would be strong when I graduated.鈥�

At her job, Yarnall now works on increasing efficiency in the healthcare system, using computer science to better facilitate communication. She uses programming to automatically generate data visualizations and dashboards that make complex data accessible to a wide variety of departments鈥攁 must in the hyper-specialized healthcare fields. The visualizations then point out waste, and help stakeholders determine where to direct resources.

鈥淭here鈥檚 definitely been a lot of communication from leadership saying how helpful the team has been in terms of operations,鈥� Yarnall says.

It was that authentic ability to help others that Yarnall says takes her back to why she entered the field in the first place.

鈥淲hen you鈥檙e in healthcare, you鈥檙e not just working for the hospital, you鈥檙e helping people,鈥� Yarnall says. 鈥淚 really enjoy what I鈥檓 doing, and I feel like the education that I got at Villanova helps me be successful in what I鈥檓 doing now.鈥�

Villanova's Graduate Programs in Computing Sciences include an MS in Computer Science, an MS in Software Engineering and an online Graduate Certificate in Health Informatics.