How Are Doctors Using AI?
Artificial intelligence is already entering doctors’ offices and hospitals. It can help physicians write visit notes, summarize medical records, interpret medical images, find relevant information, and identify patterns that might otherwise be missed.
One of its most immediate benefits may be surprisingly simple: reducing the time doctors spend on paperwork and giving them more time with patients. AI is unlikely to replace doctors, but it may substantially change how they practice medicine.
Listening and Writing the Medical Note
Doctors spend a considerable amount of time documenting visits. New AI systems can listen—with the patient’s permission—to a conversation between doctor and patient and automatically prepare a draft medical note.
The doctor reviews and approves the note before it becomes part of the medical record. These systems, sometimes called ambient AI scribes, are already being used in medical practices.
If they work well, doctors can spend less of the visit looking at a computer screen and more time talking with the patient.
Making Sense of the Medical Record
A patient’s electronic medical record can contain years of office notes, laboratory results, medications, imaging reports, and hospital records.
AI can help summarize this information and bring important details to the doctor’s attention. Eventually, a physician might be able to ask questions such as:
How has this patient’s kidney function changed over the past five years?
Which medications have previously been tried for high blood pressure, and why were they stopped?
This could be especially useful for older patients with long and complicated medical histories.
For patients with several chronic conditions, AI might also help physicians identify interactions among medications, treatments, and diseases that are difficult to recognize when information is scattered across many records.
But these systems can overlook important details or produce incomplete summaries. The physician still needs to verify the information rather than assume the AI has captured everything important.
Helping Doctors Make Diagnoses
AI can analyze large amounts of medical information and recognize patterns. It is already being used in areas such as radiology, pathology, dermatology, cardiology, and eye care.
For example, an AI system may highlight a suspicious area on an X-ray or scan for a radiologist to examine more closely. Other systems can analyze retinal images, pathology slides, or heart rhythms.
The important point is that AI generally serves as another set of eyes, rather than making the final diagnosis by itself.
Can AI Improve Doctors' Decisions?
Researchers are beginning to test whether AI actually helps physicians make better decisions.
In a 2026 randomized trial involving 58 physicians in Pakistan, doctors trained to use AI scored 71% on diagnostic reasoning compared with 43% for doctors using conventional resources.
However, an earlier U.S. study found no significant improvement when physicians were given access to AI.
These studies used simulated medical cases rather than actual patient outcomes. Still, they suggest that AI could improve medical decision-making, but how doctors are trained to use it may be crucial.
The next challenge is determining whether these improvements translate into better care for real patients.
Finding Medical Information
Medical knowledge is expanding so rapidly that no physician can keep up with everything that is published.
AI may make it much easier for doctors to ask a specific clinical question and quickly find relevant research, treatment guidelines, drug information, and possible alternatives.
This could eventually make sophisticated medical knowledge more readily available to primary-care physicians as well as specialists.
What Happens When Medical Experts Disagree?
Even respected medical organizations sometimes reach different conclusions about screening, medications, and treatment recommendations.
AI systems may reflect these disagreements—or provide different answers depending on which sources they use.
A useful AI system should help physicians understand where the evidence is strong, where experts disagree, and why different recommendations exist.
The challenge is not simply finding an answer. It is determining how reliable that answer is and whether it applies to the individual patient.
Identifying Problems Earlier
AI can also continuously examine laboratory results, vital signs, medications, and other information and alert clinicians when something appears unusual.
Researchers are studying whether these systems can help identify patients at risk for problems such as sepsis, heart deterioration, kidney injury, or hospital readmission before the problem becomes obvious.
Not every alert is useful, however. Too many false alarms can create another burden for doctors.
The Doctor Still Matters
AI systems can make mistakes. They may overlook important information, produce incorrect conclusions, or sound confident when they are wrong.
Doctors therefore need to evaluate AI recommendations critically, check important conclusions against reliable evidence, and recognize when an answer may not apply to the individual patient.
The most promising future may not be AI instead of doctors, but doctors using AI well—combining the speed and pattern-recognition abilities of computers with medical judgment, experience, and an understanding of the individual patient.
Learn More
Explains how AI can listen during a medical visit, prepare the clinical note, and reduce the amount of time doctors spend documenting care.
A study of 263 clinicians at six U.S. health systems found that use of AI scribes was associated with less after-hours documentation, greater attention to patients, and reduced reported burnout.
A randomized trial involving 58 physicians found substantially better diagnostic reasoning with AI assistance. The results are encouraging, although the study used simulated clinical cases rather than actual patient outcomes.