Can Doctors Be Sued for Using AI in 2026?

Artificial intelligence is rapidly becoming part of everyday healthcare.

Physicians may encounter AI in diagnostic imaging, clinical decision-support systems, patient-message drafting, medical-record summaries, risk scoring, remote monitoring and automated documentation. These tools can save time and help identify information that might otherwise be missed.

But they also raise an important question:

Can a doctor be sued when an AI-assisted decision contributes to a patient injury?

The short answer is yes. A physician may be named in a medical malpractice claim when an allegation involves the physician’s evaluation, treatment decision, supervision or documentation—even if artificial intelligence influenced the decision.

That does not mean every unfavorable outcome involving AI constitutes malpractice. Liability depends on the facts, applicable law, the standard of care and the connection between the alleged error and the patient’s injury.

AI Does Not Automatically Transfer Responsibility

Physicians should not assume that responsibility shifts entirely to the technology company simply because an AI system generated the recommendation.

A medical malpractice case generally examines whether the healthcare professional acted as a reasonably prudent professional would have acted under similar circumstances. When a physician incorporates an AI recommendation into patient care, questions may include:

Did the physician independently evaluate the patient?
Was the AI tool appropriate for the intended purpose?
Did the physician understand the tool’s limitations?
Was conflicting clinical information ignored?
Was the recommendation reviewed before it was implemented?
Did the physician document the reasoning behind the final decision?
Did the practice follow its own AI policies and procedures?

The software manufacturer, hospital, medical practice or technology vendor could also become involved in a claim. However, the availability of other potentially responsible parties does not necessarily prevent a physician from being sued.

How AI Could Contribute to a Medical Malpractice Claim

Artificial intelligence can create exposure at several points in the patient-care process.

Diagnostic errors

An AI-assisted diagnostic system may fail to detect an abnormality, incorrectly classify a finding or generate a recommendation that does not fit the patient’s complete clinical presentation.

A claim could allege that the physician relied too heavily on the system and failed to consider symptoms, test results or differential diagnoses pointing toward another conclusion.

Treatment recommendations

Clinical decision-support systems may suggest medications, tests or treatment protocols. These recommendations can be affected by incomplete records, inaccurate data or limitations in the system’s training.

The treating physician generally must determine whether the recommendation is appropriate for the individual patient.

Inaccurate summaries

Generative AI may produce a confident and well-written summary that contains incorrect information. This is sometimes described as an AI “hallucination.”

If the incorrect information is copied into the medical record or relied upon in treatment, the error can become more difficult to identify and may affect subsequent care.

Failure to follow up

An AI system might categorize a result as routine when the patient’s condition requires faster intervention. A practice could also encounter problems when an alert is generated but no individual is clearly responsible for reviewing it.

Automation bias

Automation bias occurs when people give excessive weight to a computerized recommendation. In a clinical environment, a physician may accept an AI-generated conclusion even when other evidence points in a different direction.

AI should support professional judgment, not eliminate it.

The Standard of Care Is Still Developing

Healthcare AI is evolving faster than many laws, court decisions and professional standards.

The American Medical Association has emphasized the importance of physician leadership, accountability and appropriate oversight when healthcare organizations implement AI. The FDA also maintains information concerning AI-enabled medical devices and its regulatory approach to medical-device software.

Nevertheless, regulatory clearance does not guarantee that a product is appropriate for every patient or every clinical setting.

Future malpractice cases may examine questions such as:

Was using the AI tool reasonable?
Would a prudent physician have independently confirmed the result?
Was the system used outside its approved or intended purpose?
Did the practice adequately train its physicians and employees?
Was the technology properly monitored and updated?
Did the organization respond to known errors or safety warnings?

Physicians should avoid treating the absence of a specific AI law as permission to use a tool without oversight.

Should Patients Be Told That AI Is Being Used?

Whether disclosure or consent is required depends on the technology, the nature of its use and applicable law.

A tool that formats an already-completed note may raise different considerations than a system that makes a diagnostic recommendation or communicates directly with patients.

Practices should consider:

How substantially AI affects the clinical decision
Whether the technology records or processes patient conversations
Whether protected health information is shared with an outside vendor
Whether patients may reasonably believe they are communicating with a person
State consent and recording laws
Hospital, practice and professional-board requirements

Consent should not be treated as a blanket liability waiver. A patient’s agreement to the use of AI does not excuse negligent treatment.

Documentation Can Help—or Hurt—the Defense

Documentation will likely play a major role in AI-related claims.

Appropriate documentation may establish that the physician considered the patient’s history, reviewed relevant results and exercised independent judgment. Poor documentation may make it appear that an automated recommendation was accepted without meaningful review.

Physicians should document the clinical reasoning that matters to the patient’s care. They should not clutter the record with defensive statements or paste raw AI output into the chart without verification.

An effective record may identify:

Material clinical findings
Relevant alternatives considered
The physician’s final assessment
Why a particular treatment was selected
Follow-up instructions
How conflicting information was resolved

Never allow AI-generated language to enter the permanent medical record without human review.

Seven Risk-Control Measures for Medical Practices

Medical practices adopting AI should consider the following safeguards:

Create an approved-tool list. Employees should know which platforms may be used and which are prohibited.
Require human review. AI-generated notes, messages and recommendations should be verified before becoming part of patient care.
Protect patient information. Determine what information the vendor collects, stores, retains and uses.
Review vendor contracts. Examine indemnification, limitation-of-liability, data ownership, breach-notification and insurance provisions.
Train the entire workforce. Physicians, advanced practice providers and administrative employees need role-specific training.
Develop an incident process. Employees should know how to report inaccurate output, privacy concerns and patient-safety events.
Reevaluate insurance coverage. The practice should discuss its use of AI with a knowledgeable insurance professional.

Coverage cannot be answered with a universal yes or no.

The result may depend on:

The allegations in the complaint
The policy’s definition of professional services
The identity of the person or organization being sued
Whether the AI activity was disclosed during underwriting
Policy exclusions and endorsements
Whether the event involves bodily injury, a privacy breach or both
Whether a vendor’s policy or contractual indemnification applies

Professional liability, cyber liability, technology errors and omissions, general liability and other policies may respond differently.

Read our related guide: Does Medical Malpractice Insurance Cover AI Errors?

Review the Risk Before a Claim Occurs

Physicians do not need to avoid artificial intelligence entirely. They do need to use it deliberately.

The safest approach is to treat AI as one input in a professionally supervised process—not as an autonomous replacement for clinical judgment.

Island Insurance Group helps physicians and medical practices evaluate medical malpractice coverage, underwriting concerns and potential coverage gaps.

Take the Physician Underwriting Assessment to identify issues that may affect your coverage or renewal.

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Samuel Bennett
Licensed Insurance Agent
Island Insurance Group

Frequently Asked Questions

Can a physician be sued for following an AI recommendation?

Yes. A physician may be sued when a patient alleges that reliance on an AI recommendation contributed to negligent care or injury. Whether the physician is legally liable depends on the evidence and applicable standard of care.

Is the AI company responsible for an incorrect recommendation?

The vendor may potentially face responsibility, but that does not automatically eliminate the physician’s or medical organization’s exposure. Contracts, product design, warnings and the way the tool was used may all matter.

Should physicians document their use of AI?

Physicians should follow applicable organizational policies and document the clinical reasoning relevant to patient care. Practices should obtain legal and compliance guidance before adopting a universal disclosure rule.

Does FDA clearance eliminate malpractice risk?

No. Regulatory clearance does not establish that a device is appropriate for every patient, setting or use.

Does malpractice insurance automatically cover AI mistakes?

Not necessarily. Coverage depends on the policy wording, allegations, insured parties, exclusions, endorsements and facts surrounding the claim.

This article provides general educational information and is not legal, medical or insurance-coverage advice. Policy terms and legal requirements vary. Consult qualified legal, compliance and insurance professionals concerning your specific circumstances.

Can Doctors Be Sued for Using AI? Medical Malpractice Liability in 2026

AI Does Not Automatically Transfer Responsibility