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‘A doctor who doesn’t judge’: Why patients are turning to AI for treatment

'A doctor who doesn't judge': Why patients are turning to AI for treatment

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When people first said that “doctors are just a tap away”, the phrase typically referred to the growing ease of booking appointments or consulting specialists remotely. Today, however, that idea has taken on an entirely new meaning as artificial intelligence becomes embedded in everyday life.For many people, typing symptoms into a chatbot before consulting a doctor has become second nature. Manik Deepak, a Bengaluru-based software engineer, is among them. Comfortable with sharing his data to help train AI models, he sees chatbots as a convenient and cost-effective first port of call when something feels wrong.”Convenience. They have proper domain knowledge and it’s very convenient to describe your symptoms rather than going down to a doctor, getting an appointment, spending money when you can do all that at the convenience of your home for free,” he says.But not everyone shares that instinct. Suyog Shetti, despite being well acquainted with AI tools and chatbots, says it has simply never occurred to him to ask ChatGPT to diagnose his symptoms.Between the two lies a growing behavioural shift that doctors are increasingly encountering in clinics. Patients are arriving armed with chatbot conversations, AI-generated explanations and, at times, self-diagnoses formed long before a medical consultation begins. As artificial intelligence becomes an increasingly common source of health information, questions are emerging about its role in the diagnostic journey. How useful is AI in helping people understand their symptoms? Where does it fall short? And how is it changing patient behaviour, expectations and interactions with doctors when they finally step into the consultation room?

The appeal of instant answers

For many users, the biggest attraction is convenience. Sharddha Dayanand says that she goes to the AI bot with rather small problems only to understand how long shall the symptoms last before things go back to normal. Unlike Manik, she does not use AI as a substitute for professional advice. “If it’s something that I feel is very trivial or I know it’s going to go away, that is when I use a chatbot,” she says.”It’s easier,” says Anandeshwar, who occasionally asks chatbots about health concerns. The last symptom he searched for was a mouth ulcer. And largely, the concerns pointed out to an AI chatbot is rather low risk, or trivial. The common thread running through almost all the patient interviews is not a desire to replace doctors, but a desire to reduce uncertainty.When Neha Goswami feels unwell, her first instinct is not always to book a doctor’s appointment. Instead, she opens an AI chatbot first to determine whether something might be dangerous before deciding what to do next.”First I ask whether it is anything dangerous,” she says.However, for users like Manik, who possess a great belief in AI’s potential, the interaction does not last till the first consultation, rather runs for the entire procedure.”Before seeing a doctor also, after coming back from the doctor. I will tell what doctor has suggested and then throughout the recovery phase I will keep updating the chatbot to see how my progress is going.”His trust in AI is unusually high.”Nine, a solid nine,” he says when asked how much he trusts chatbot advice on a scale of one to ten. “For the past one or two years, I have been using ChatGPT as my personal doctor.”

A doctor who never judges

One of the most revealing findings from the interviews is why patients feel comfortable sharing personal details with AI.Several respondents said they disclose extensive information, including age, medications, lifestyle factors and family medical records.Neha says she shares “everything”.Deepak says he provides information “down to the last minute detail”.He is also unconcerned about privacy.”I am not scared of my data being leaked or used for training models. I’m a software engineer. I don’t mind it.”For others, the appeal lies elsewhere.”I feel like the doctor might judge and stuff, but a robot won’t,” says Dayanand.That perception may help explain why users are comfortable uploading sensitive information. Neha says she uploaded her father’s medical report to understand his condition better. Deepak regularly uploads laboratory reports for detailed explanations. Dayanand says she would also feel comfortable sharing test results.The chatbot, unlike a human doctor, is available around the clock, does not rush the conversation and never appears irritated by repeated questions.Patients also appreciate the ability to tailor explanations.”That’s the best part about a chatbot,” says Deepak. “You can ask it to explain it in terms of quantum physics or maybe explain it to a five-year-old.”

Reassurance machine or anxiety machine?

One of the clearest divides between patient and doctor perspectives concerns the emotional impact of AI-generated health information.Most patients interviewed described chatbots as calming.”They calm me down,” says Neha.”It always mostly calms me down because it tells me what I want to hear,” says Dayanand.Deepak echoes the sentiment.”It makes me feel calmer. It makes me feel normal. It makes me feel it’s okay to be sick.”Yet doctors report something quite different.”Most patients who turn to Google or AI tools for information are already anxious about their symptoms,” says Dr Vikas Mittal, Director and Pulmonologist at CK Birla Hospital, Delhi.”After reading multiple possibilities online, they often become even more anxious.”Dr Anupam Roy, Additional Director of Nephrology and Kidney Transplant at Aakash Healthcare Multi-Speciality Hospital, says patients often arrive carrying “a mix of confusion, anxiety and uncertainty”.Dr Nikhil Rajvanshi, Consultant in Paediatric Pulmonology at Madhukar Rainbow Children’s Hospital, sees a recurring pattern.”Most patients fall into one of two categories: anxious or falsely reassured. Anxiety is more common.”The contradiction is striking. Patients say AI makes them feel better. Doctors say the same technology often contributes to anxiety.The explanation may lie in what patients are seeking.Many are not looking for a definitive diagnosis. They are looking for reassurance. When AI provides a plausible explanation and a sense of control, it can reduce immediate stress.However, doctors frequently encounter patients after they have spent hours reviewing alternative possibilities online, including severe illnesses that are statistically unlikely but emotionally difficult to ignore.

When AI gets it wrong

The challenge becomes greater when AI-generated conclusions are incorrect or incomplete.Shah recalls asking about a mouth ulcer.”It told me all sorts of diseases,” he says. “But mine was actually because I had been smoking too much and eating too many sweets.”The experience frightened him.”For a moment, yes, it made me scared.”Doctors worry that such situations could become more consequential when symptoms are more serious.”AI-generated medical advice can sometimes swing in either direction,” says Dr Mittal. “It may either offer excessive reassurance and potentially miss important warning signs or it may present severe diagnoses that create unnecessary anxiety.”Dr Rajvanshi has seen both outcomes.One child with a persistent cough was repeatedly reassured by online sources and AI-generated information that the problem was likely a lingering viral infection. When eventually examined, the child was found to have an inhaled foreign body requiring bronchoscopy.In another case, parents became convinced their child might have a rare lung disease after researching recurrent cough symptoms online. Clinical evaluation later revealed uncomplicated asthma.”The online information increased anxiety without improving the diagnostic process,” Rajvanshi says.

The danger of certainty

Perhaps the biggest concern among clinicians is not misinformation itself but misplaced certainty.Yukta Sharma, a trainee clinical psychologist, describes patients arriving with diagnoses they have effectively assigned to themselves.One woman in her thirties arrived convinced she had ADHD and had already paid for an assessment before speaking to clinicians.According to Sharma, further evaluation revealed something different.The woman’s difficulties stemmed largely from work-related stress, anxiety and resulting distractibility rather than ADHD.Another young woman arrived convinced she had schizophrenia after discussing her symptoms with ChatGPT.The symptoms she described, including social withdrawal and loss of interest in activities, were more consistent with depression than schizophrenia.”The moment she came in with that belief, it became difficult to challenge it,” Sharma says.Such cases illustrate a growing challenge. Once patients adopt an AI-generated explanation, clinicians may spend considerable time helping them understand why alternative interpretations are more plausible.Dr Roy says problems emerge when patients become attached to a specific diagnosis suggested online and are unwilling to consider other possibilities.

What AI cannot see

Doctors repeatedly emphasise that diagnosis involves much more than matching symptoms to diseases.A patient can type “breathlessness” into a chatbot. What they receive is a list of possibilities.Determining the actual cause is far more complex.”Breathlessness is a classic example,” says Dr Mittal. “It can be caused by asthma, heart disease, lung infections, anaemia, obesity, anxiety disorders, or even severe underlying illnesses.”Similarly, Dr Rajvanshi notes that what parents describe as wheezing could represent asthma, vocal cord dysfunction, airway obstruction or several other conditions.The difference often becomes apparent only through examination, observation and detailed questioning.”A physical consultation includes examination findings, observation, touch, smell, interaction and clinical judgment developed through years of experience,” Rajvanshi says.Dr Roy points to physical signs that AI cannot independently assess, including swelling, pulse characteristics and blood pressure variations.For Sharma, the missing element is often psychological context.A chatbot cannot see whether a patient becomes distressed while discussing a particular topic, whether they hesitate before answering a question, or whether their body language contradicts their words.”Patients communicate far more than words,” Rajvanshi says.

Changing the consultation room

The rise of AI is also changing the doctor-patient relationship.Doctors say consultations increasingly involve discussions about information patients have already gathered online.”In many cases, it does make consultations longer,” says Dr Mittal.Patients arrive with lists of questions, screenshots of chatbot conversations and preconceived ideas about what may be wrong.Yet doctors do not view the trend entirely negatively.”When patients use AI responsibly and remain open to discussion, these conversations can be productive,” Mittal says.Roy agrees that informed patients often participate more actively in healthcare decisions.The challenge is ensuring that AI serves as a starting point rather than the final authority.Interestingly, several patients admitted they do not tell doctors they have consulted AI.”No, never,” says Deepak. “They take it as an offence.”Dayanand and Neha also said they generally do not mention it.This creates another layer of complexity. Doctors may be responding to assumptions or anxieties shaped by AI without knowing where those beliefs originated.

A tool, not a replacement

Despite concerns, none of the experts interviewed argued that patients should avoid AI entirely.Instead, they advocated responsible use.Dr Mittal says AI can help patients understand medical terminology and prepare questions before consultations.Dr Roy believes it can improve health literacy when used appropriately.Rajvanshi advises patients to use AI to become informed rather than diagnosed.The patients themselves largely seem to understand this distinction.Dayanand says she almost always sees a doctor afterwards.Neha uses AI to gauge whether something might be serious but does not alter her behaviour based on the chatbot’s advice.Even Deepak, perhaps the strongest advocate among those interviewed, acknowledges that severe problems require professional care.”When the problem is severe, it does tell me to go see a doctor,” he says. “And I do listen to it.”As AI becomes more deeply embedded in everyday life, it is increasingly occupying a new space in healthcare. It is no longer merely a search engine and not yet a doctor. Instead, it has become something in between: an always-available source of information, reassurance and explanation.For patients navigating uncertainty, that can be comforting. For doctors trying to distinguish useful curiosity from misplaced confidence, it presents a new reality.The consultation room is changing, but the interviews suggest one conclusion remains clear. AI may help people understand symptoms, decode test reports and organise questions, but when it comes to determining what is actually wrong, medicine still depends on something a chatbot cannot do: observe, examine and understand the person sitting in front of it. Go to Source

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