What Patients Are Really Looking for When They Turn to AI

A photo of a woman holding a smart phone.

More patients are turning to artificial intelligence (AI) tools to answer health questions. They use ChatGPT and other chatbots to research symptoms, understand test results, explore treatment options, and seek information outside the doctor’s office. These tools are shaping how patients think about illness and prepare for appointments.

The trend raises broader questions about the future of health care. If patients can access information instantly, what role should physicians play? And as AI becomes part of more health-related decisions, how might it affect the relationship between patients and their doctors?

“Just because you have access to information doesn’t mean you have access to care,” said Ashwin Ramaswamy, MD, MPP, Assistant Professor of Urology, and Artificial Intelligence and Human Health, at the Icahn School of Medicine at Mount Sinai, during an October 2026 panel discussion at the Association of Health Care Journalists (AHCJ) Fall Summit in Los Angeles.

The panel, titled “Hello, doc; meet my chatbot,” explored how patients use AI to seek health information. In a conversation afterward, Dr. Ramaswamy suggested that the technology itself may be only part of the story.

Ashwin Ramaswamy, MD, MPP, Assistant Professor of Urology, and Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, at the Association of Health Care Journalists (AHCJ) Fall Summit in Los Angeles, October 8, 2026. (Image credit: Erica Tricarico | AHCJ)

Why are patients turning to AI for medical advice?

“I see uncertainty and patients trying to exercise their own autonomy through AI,” said Dr. Ramaswamy during the AHCJ panel.

In practice, he said after the panel, many are searching for something far more basic. “It is relief,” he said. “Relief from the burden of uncertainty.”

Symptoms, unexpected test results, and new diagnoses can prompt questions that are difficult to address in a brief office visit. However, AI offers explanations and information at any hour.

“It is relief. Relief from the burden of uncertainty.”

—Ashwin Ramaswamy, MD, MPP, on why patients are asking AI chatbots questions about their health.


Uncertainty has always been part of medicine. What has changed, Dr. Ramaswamy said, is that patients now have what he calls “access to an answer.” They can ask a chatbot questions that once waited until the next appointment. But more information does not always bring reassurance—in some cases, it can heighten anxiety.

“I had a patient who I saw had a bladder mass that I thought looked concerning for cancer. I did a biopsy of that,” Dr. Ramaswamy recounted. “Before the pathology results were available, if the patient consulted AI about his mass, what’s AI going to say?”

A chatbot could generate a long list of possibilities, including bladder cancer, irritation, or inflammation. “That process is going to be a three-day anxiety fest for that patient,” he said.

Until the biopsy results return, the most important question remains unanswered. Patients may continue searching, but information alone cannot always provide reassurance.

“The best thing for the patient is to tell them, don’t think about it,” he said. “And AI doesn’t do that.”

For Dr. Ramaswamy, this is the difference between information and care. AI can offer answers, but physicians help patients decide what information matters, what can safely wait, and which questions need attention.

What happens when AI enters the doctor’s office?

Patients increasingly arrive at appointments with information from ChatGPT and other AI tools, as well as questions and possible treatment options. Dr. Ramaswamy and other panelists described a shift in the doctor-patient dynamic: A conversation once held between two people may now include a third voice, AI.

For physicians, the task is not always to correct AI. It is often to respond to information that has already shaped a patient’s understanding of their condition.

Dr. Ramaswamy has seen that dynamic first-hand. He recalled a patient with large bladder stones who was scheduled for surgery to remove them and relieve a severely obstructed prostate. After an unexpected trip to the Emergency Department, the patient began researching his condition with AI.

At the panel “Hello, doc; meet my chatbot,” moderated by Rebecca Ruiz, senior reporter, Mashable (left), Dr. Ramaswamy (right) and Omer Liran, MD, co-Director, Cedars-Sinai ​Center for Virtual Medicine and Health System Transformation (center), talked about how they’re increasingly seeing patients come into the clinic already with opinions about their treatment informed by AI. (Image credit: Erica Tricarico | AHCJ)

“He was researching another procedure called prostate artery embolization that I would never have recommended to him,” Dr. Ramaswamy said.

The procedure was not part of the treatment plan and would not have addressed some of the patient’s underlying problems. Yet the patient wanted to discuss it.

The problem was not that the patient asked questions. Many questions prompted by AI are reasonable, Dr. Ramaswamy said. But the chatbot had already influenced how the patient understood his options, whether or not the information applied to his care.

Physicians may need to discuss treatments they would not otherwise raise or help patients assess conflicting information. As Dr. Ramaswamy explained during the panel, AI is shaping how patients interpret health concerns before they enter the exam room.

“I’m having to also anticipate their use of AI,” he said. That may mean proactively discussing procedures, alternatives, risks, or questions that might not have entered the conversation in the past.

Dr. Ramaswamy does not see this as a contest between physicians and chatbots. The challenge is finding ways for patients, physicians, and AI to work together while maintaining trust.

Can AI strengthen the doctor-patient relationship?

“There’s no connection between the doctor, the AI, and the patient. They’re not working in concert with each other, and they very much could,” said Dr. Ramaswamy during the AHCJ panel.

Discussions about AI often focus on risks and misinformation. Dr. Ramaswamy also sees an opportunity to strengthen the relationship between patients and physicians.

He sees that potential in his practice. Dr. Ramaswamy recently developed an AI-assisted process to help patients prepare for surgery. Patients taking multiple medications need detailed instructions about which to stop, which to continue, and when. Staff previously spent hours each week reviewing and communicating those instructions.

Using rules-based automation and AI, the time needed for the process fell from about 10 hours a week to approximately 30 minutes, he said. And the benefit extends beyond efficiency. “It makes it safer,” he said. Patients receive clearer medication instructions, while clinicians gain time for other aspects of care.

For Dr. Ramaswamy, the value is not just the time AI saves, but how clinicians can use it. Physicians do more than supply information: They interpret it, help patients navigate uncertainty, and apply medical judgment to each person’s circumstances.

For example, surgical patients often ask when they can return to playing golf. A chatbot might accurately explain that they should wait several weeks and provide a detailed rationale. His mentors often give a different answer: “You can play putt-putt for the next month. Work on your short game.”

The distinction may seem small, but both answers serve different purposes. One gives medical information; the other makes the guidance feel relevant to a patient’s life.

 

 
 
 
 
 
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AI may strengthen the doctor-patient relationship by giving physicians more time for the human elements of care.

“Sometimes what a doctor is there to do is not to provide an answer,” Dr. Ramaswamy said. Physicians offer context, judgment, and reassurance. “They can help patients recognize when more information may not be useful,” he said.

Riding the New Wave of AI in Health Care

The Icahn School of Medicine at Mount Sinai and the New York Academy of Sciences jointly hosted a conference, “The New Wave of AI in Health Care,” on May 12 and May 13, 2026.

The health care industry has overwhelmingly embraced artificial intelligence (AI) technology in all aspects—clinical, academic, administrative, and more—and with the breakneck speed of progress in this area, it’s little wonder the field is seeing an outpouring of innovation.

But innovation works best when all players collectively work together to create a wave that uplifts everyone.

“There is a real risk of creating silos. Competition, proprietary data, and intellectual property all pull institutions inward,” says Girish N. Nadkarni, MD, MPH, CPH, Chair of the Windreich Department of Artificial Intelligence and Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai.

“But AI in health care punishes silos: a model trained on one hospital’s patients tends to fail at the next. Building something safe and generalizable forces you to collaborate,” says Dr. Nadkarni.

The speed at which AI developments occur makes it all the more important for everyone involved to convene. On Tuesday, May 12, and Wednesday, May 13, the Icahn School of Medicine and the New York Academy of Sciences jointly hosted a conference, “The New Wave of AI in Health Care.”

Girish N. Nadkarni, MD, MPH, CPH, Chair of the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai, speaking at the The New Wave of AI in Health Care conference.

Over the two days, attendees gleaned the latest ways AI is being used to rethink health care delivery, clinical workflows, drug discovery, and patient experience and outcomes. More importantly, the event served as an opportunity for networking, creating the foundations for future collaboration. The event attracted clinicians, academics, industry professionals, and news media from around the world, with renowned institutions participating, including Mayo Clinic, Epic, AstraZeneca, and the National Institutes of Health (NIH).

Alexander Charney, MD, PhD, Vice Chair of the Windreich Department of Artificial Intelligence and Human Health, delivered the closing address during the conference.

“Oftentimes you go to conferences and the real experience is what happens between the talks—the one-on-one conversations you have with everyone,” said Alexander Charney, MD, PhD, Vice Chair of AIHH, during his closing remarks at the event.

The gathering of so many great minds together in one space to collectively ask questions about AI and solve problems in health care is inspiring, said Dr. Charney in his speech.

“At times, I was thinking about how people in the future would look at us today, and how people in the past would look at us today—in this room, dealing with this challenge of our time of how artificial intelligence is going to be used in health care and taking care of people,” he said. “And where I land on how we move forward, is that we should try and make both of those groups of people proud.”

What is this new wave of AI in the health care industry? Dr. Nadkarni, who hosted a keynote session, shares his perspective on the development of the field and his thoughts on the conference. A video recording of his session can also be viewed below.


Session VII: Keynote and Learning Health System. Session includes a fireside chat with former New York City Health Commissioner Dave Chokshi, MD, and a presentation from a member of NIH.

What is this “new wave of AI” we are seeing in health care? What makes it different from other technological waves we’ve seen before?

It’s not the first such wave—AI in medicine goes back to the expert systems of the 1970s and the machine learning wave of the last 15 years. What’s new is large, general-purpose, multimodal models at unprecedented scale. Earlier tools were narrow and brittle; this wave is general and fluent. The same model can read a note, interpret a scan, and reason across both. And it has crossed out of the lab into the clinic, touching the actual practice of medicine. That’s why it feels less like a better tool and more like a genuine shift.

How often do events such as this occur to bring innovators together? What would you say are some of the biggest values of such conferences?

They’re getting more frequent, but the ones that matter are still rare, because the hard part isn’t gathering people, it’s gathering the right mix. The value is putting clinicians, computer scientists, ethicists, regulators, and patients in one room. It separates signal from hype, builds the relationships that later become multisite studies, and forces the hard questions about equity and implementation onto the main stage. Honestly, the hallway conversations matter as much as the talks.

What does equity in health care AI look like, and how can we deliver the power of those tools to communities who need those solutions the most?

Equity doesn’t happen by default. Models built on well-resourced data tend to work worst for those already underserved. Conferences can help by refusing to treat that as an afterthought, by putting equity on the main stage, connecting innovators with safety-net and global-health partners—our work with the Guyana Ministry of Health is one example—and sharing tools openly so smaller institutions aren’t locked out.

AI’s real promise is scale. A validated model can reach a rural clinic as easily as an academic center, but only if we design for that from the start.

Over the two days of the The New Wave of AI in Health Care conference, speakers and panelists presented research and discussed the latest applications of AI in health care. Tanzeem Choudhury, PhD, from Cornell Tech, spoke in Session X: AI-Human Interactions and gave a presentation titled “The Future of Mental Health and AI – Perspective from Research, Entrepreneurship, and Implementation”.

The conference attracted leaders at the forefront of AI research in biomedical research and health care from around the world. John Halamka, MD, MS, from Mayo Clinic, delivered the opening keynote presentation in Session I: Welcome & State of the Art AI Models in Healthcare titled “Transforming Care Delivery Today—and What Comes Next”.

Representatives from Mount Sinai, including Robert Freeman, DNP, RN, Chief Digital Transformation Officer at the Mount Sinai Health System, spoke about AI innovations at the Health System. He hosted Session V: AI at the Bedside and Session VI: AI at the Bedside (Continued).

Benjamin Glicksberg, PhD, Director of the Center for AI in Children’s Health at the Icahn School of Medicine at Mount Sinai (second from right) seen in discussion during one of the various networking sessions held in between talks and presentations. These networking opportunities lay the foundation for collaboration between institutions.

Jeremy Hallett, MS, from University of Wisconsin-Madison, presenting during the poster session held at the end of the first day of the conference. The poster session featured research from 20 presenters.
The New Wave of AI in Health Care conference was made possible thanks to the joint efforts of the Icahn School of Medicine and the New York Academy of Sciences. Members of the organizing committee in this photo include, from left to right and back to front, Benjamin Glicksberg, PhD; Girish Nadkarni, MD, MPH; Alexander Charney, MD, PhD; Kelly Morgan, MHA; Ipek Ensari, PhD; Cassie Chartier, PhD; and Melanie Brickman Borchard, PhD, MSc.

What sort of pace should academic health systems like Mount Sinai be adopting for this wave of AI? Should systems like ours be at the forefront and setting directions?

Fast enough to lead, deliberate enough to be safe. Academic systems have the data, the patients, the rigor, and the mandate to generate evidence rather than just byproducts—so yes, we should be at the forefront. Our job is to set the standard and give the field a trustworthy template to follow. Leading here means leading on rigor and equity, not simply being first.

Lastly, in reflecting on Dr. Charney’s closing remarks, what are your thoughts on how the world of the past and the world of the future would think about what we’re doing with AI in health care today?

Clinicians a generation ago would be astonished that a machine can draft a note or read a scan—and probably wary about what it means for the human relationship at the center of medicine.

The future, I think, will judge us not on how clever our models were, but on whether we used them wisely, safely, and fairly, and kept the patient and clinician at the center. Echoing Dr. Charney, my hope is they’ll see this as the moment we chose to augment human care rather than replace it. We’re not just building tools—we’re setting precedents.

Video recordings of all sessions are available and can be viewed at these links

Day 1: Session I Day 1: Session II and III Day 1: Session IV and V Day 1: Session VI and Closing
Day 2: Welcome and Session VII Day 2: Session VIII Day 2: Session IX Day 2: Session X and Closing