Artificial intelligence (AI) is changing far more than hospital paperwork. Researchers say it's beginning to help doctors make clinical decisions, identify mental health risks earlier, expand care through smartphones and wearable devices, and extend healthcare to people who might otherwise go without it.
While adoption varies across healthcare systems, Georgia Tech researchers say AI is becoming increasingly integrated into medicine. At the same time, questions about privacy, trust, equity, and human oversight remain central to how the technology will be used in the years ahead.
“Medicine has clearly embraced the human-AI fusion approach,” said Jon Duke, director of the Center for Health Analytics & Informatics at the Georgia Tech Research Institute. “The use of AI is encouraged, but reliance on AI is not.”
From Clinical Workflows to Decision Support
Many of healthcare's earliest AI applications focused on reducing administrative burdens. Today, researchers say the technology is increasingly helping clinicians access and interpret information.
Duke points to the growing use of clinical AI tools such as OpenEvidence, which provide healthcare professionals with AI-generated, source-backed answers to medical questions.
“AI is moving beyond administrative tasks and beginning to play a meaningful role in clinical decision support,” Duke said.
Within electronic health records, AI is being used to generate clinical notes from patient-provider conversations and summarize complex patient charts. While healthcare systems have moved most quickly on efficiency-focused applications, Duke said AI is steadily becoming part of everyday clinical practice.
Still, he believes human oversight will remain essential.
“One of the biggest long-term questions is whether physicians trained alongside AI will develop the same level of independent clinical judgment as previous generations,” he said.
Expanding Access Beyond the Doctor's Office
Researchers also see AI creating new opportunities outside hospitals and clinics.
Munmun De Choudhury, professor in the School of Interactive Computing, said AI is helping public health systems identify emerging mental health concerns by analyzing digital and clinical data.
“AI is enabling public health systems to move from reactive to more proactive approaches by identifying emerging mental health concerns from diverse digital and clinical data sources,” De Choudhury said.
Those insights may create opportunities for earlier intervention.
“AI has the potential to identify subtle behavioral changes that precede worsening mental health, creating opportunities for earlier support before someone reaches a crisis,” she said.
Alexander Adams, assistant professor in the School of Interactive Computing, studies wearable sensing systems, remote patient monitoring technologies, and point-of-care health tools. He said advances in AI are accelerating innovation in areas such as pharmaceuticals, medical imaging, simulation, and biomarker discovery.
“The biggest changes I am seeing are the increased productivity in pharmaceuticals, medical imaging, simulation, and biomarker discovery,” Adams said. “That has a downstream impact on what we can measure at the point of care.”
According to Adams, smartphones and wearable devices have become increasingly important healthcare tools because of the amount of data they collect.
“No stand-alone medical devices generate nearly as much data as smartphones and smartwatches, making them a natural place for modern AI,” he said.
He also sees significant potential for AI-enabled technologies to improve access in rural and underserved communities.
“These technologies are especially important for underserved and rural populations that often have less access to care and face higher risks of complications,” Adams said.
Balancing Innovation and Human Connection
Despite growing interest in AI, researchers caution that adoption is not without challenges.
“The real opportunity lies not in building more autonomous AI, but in designing systems that strengthen human judgment, clinical expertise, and community care,” De Choudhury said.
Although AI has advanced rapidly, its impact on chronic disease management has remained limited, said Rosa Arriaga, professor in the School of Interactive Computing.
“AI holds a lot of promise but hasn't delivered much in the way of real-world applications,” Arriaga said.
She also raised concerns about how increased reliance on data-driven tools could affect interactions between clinicians and patients.
“The fear is that clinicians become ‘data checkers’ and have even less interaction with patients,” she said.
At the same time, Arriaga said AI is having its greatest impact in the mental wellness space.
“There are now randomized controlled trials showing that some people are willing to receive ‘therapy’ from an AI agent and that this intervention is beneficial,” she said.
However, she cautioned that those developments should be considered alongside potential risks.
“Greater interactions with AI may lead to greater isolation, and parasocial relationships with AI may erode the social fabric,” Arriaga said.
Shaping the Next Era of Healthcare
Despite differing views on the opportunities and challenges, the researchers see AI becoming a lasting part of healthcare.
“AI is accelerating everything,” Adams said. “Even through rapid iteration and simulation alone, it will accelerate medical devices and point-of-care technologies.”
As healthcare organizations continue to explore where AI can improve care, researchers say the future of medicine will depend not only on technological advances but also on how effectively those tools support the people who deliver and receive care.