Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
68 incidents closest to “Abridge for Clinicians” · matched on meaning · public reporting
The AI-generated hallucinated citations in an expert report led to the exclusion of the expert and dismissal of the plaintiff's case.
1 source article · read the reporting →
The Arena Group, publisher of Men's Journal, used AI to generate an article about low testosterone. The article contained numerous factual errors, as identified by an endocrinologist. After being contacted by Futurism, the publisher issued corrections and a statement acknowledging the issues. The incident highlights the risks of using AI for health content without adequate human oversight.
10 source articles · read the reporting →
Google Health deployed a deep-learning system to screen for diabetic retinopathy in 11 clinics across Thailand. The AI was highly accurate in lab tests but rejected over a fifth of eye scans in real-world conditions due to poor lighting and slow internet. Patients whose scans were rejected had to visit specialists at other clinics, causing inconvenience and frustration for nurses. Google Health is now working with local staff to improve the system's workflow.
10 source articles · read the reporting →
ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.
5 source articles · read the reporting →
An NHS computer algorithm that prioritises liver transplant patients most likely to die soon has led to younger patients waiting 156 days longer on average than those over 60. The algorithm, launched in 2018, gives a score based on 21 recipient and seven donor parameters. Patients like Sarah Meredith, 31, have been waiting two years for a transplant. NHS Blood and Transplant defends the system as saving lives but acknowledges the stress on younger patients.
10 source articles · read the reporting →
AI-generated fake legal citations were submitted to the court, affecting the plaintiff's appeal and the defendant's legal costs.
1 source article · read the reporting →
South Metropolitan Health Service, which runs five hospitals in Perth, ordered staff to stop using ChatGPT for work involving patient information after an email said some staff had used the AI chatbot to write medical notes. The service later clarified that only one doctor had used the tool to generate a patient discharge summary and that no confidential patient information had been breached. The Australian Medical Association has called for national regulations to ensure a human is involved in AI-assisted health decisions.
6 source articles · read the reporting →
The article reports that scientists are questioning the reliability of the QCovid risk prediction algorithm used by the NHS to prioritise COVID-19 vaccinations. Due to missing data on weight or ethnicity, the algorithm automatically assigns a high BMI and high-risk ethnicity, leading to young, healthy patients being incorrectly labelled as high risk and called for early vaccination. GPs have identified hundreds of such cases, causing anxiety and potentially delaying vaccinations for more vulnerable individuals. NHS Digital acknowledged the issue and said clinicians can remove patients from the shielding list.
10 source articles · read the reporting →
A study published in npj Digital Medicine tested four commercial large language models (Bard, ChatGPT, GPT-4, and Claude) for their tendency to propagate discredited race-based medical beliefs. When asked about kidney function, lung capacity, and skin thickness, the models sometimes endorsed debunked racial differences, particularly affecting Black patients. The study concludes that these biases pose a potential hazard and urges caution before using such models in clinical decision-making.
6 source articles · read the reporting →
In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.
6 source articles · read the reporting →
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
10 source articles · read the reporting →
A study by researchers at Brigham and Women's Hospital found that ChatGPT, developed by OpenAI, generated cancer treatment plans with errors. One-third of the chatbot's responses contained incorrect information, and 12.5% were hallucinated. The study was published in JAMA Oncology and reported by Bloomberg.
10 source articles · read the reporting →
A study presented at the ASHP Midyear Clinical Meeting found that ChatGPT's responses to nearly three-quarters of drug-related questions were incomplete or inaccurate. The AI system also generated fake citations to support some responses. Researchers warned that healthcare professionals and patients should verify ChatGPT's medication information using trusted sources to avoid potential harm.
8 source articles · read the reporting →
A study published in JAMA Pediatrics found that ChatGPT version 3.5 provided incorrect diagnoses for 83 out of 100 pediatric case challenges. The chatbot's errors included both completely wrong diagnoses and diagnoses that were too broad. The researchers noted that the chatbot failed to identify relationships such as that between autism and vitamin deficiencies, and suggested that more selective training is needed to improve accuracy.
7 source articles · read the reporting →
An African American man has filed a lawsuit in federal court alleging that the algorithm used to determine kidney transplant priority is racially biased. The plaintiff, a Los Angeles barber, claims the algorithm puts Black patients lower on the waitlist, denying them timely access to organs. He seeks damages and a higher position on the list.
7 source articles · read the reporting →
The UK's National Health Service announced plans to use AI to automatically generate notes from patient appointments. Health Secretary Victoria Atkins said the scheme would reduce admin time. Privacy campaigners raised concerns about data security and accuracy, citing an incident where AI misheard the chief medical officer's name. The Department of Health and Social Care stated that patient confidentiality remains a top priority.
3 source articles · read the reporting →
AEMPS launched MeQA, an artificial intelligence tool for answering public questions about medicines, on 13 May 2025. Two days later it withdrew the tool after detecting that some responses contained errors. The agency said that most answers were correct but that the errors could affect patient safety, and that it would restore the service as soon as possible.
4 source articles · read the reporting →
In May 2024, Google launched AI Overviews, a feature in Search that generates AI-powered summaries. Shortly after, users reported odd and erroneous overviews for some queries, including satirical or nonsense results. Google acknowledged the issues in a blog post and stated they made more than a dozen technical improvements to reduce inaccuracies. The company said that less than one in 7 million queries resulted in a content policy violation.
10 source articles · read the reporting →
An audit of the LAION-400M dataset by Abeba Birhane and colleagues at University College Dublin and University of Edinburgh found that its automated curation using CLIP failed to remove sexually explicit images, racial slurs, and stereotypes. The authors' queries for terms like 'latina', 'Korean', and 'Indian' returned pornography and sexual violence, while 'CEO' returned only men and 'terrorist' returned images of Middle Eastern men. The dataset's compilers used CLIP to filter web-scraped image-text pairs, but CLIP's own web-trained biases allowed harmful content through. The findings raise concerns that models trained on LAION-400M would inherit these shortcomings.
7 source articles · read the reporting →
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
4 source articles · read the reporting →
A BBC study found that four major AI chatbots – ChatGPT, Copilot, Gemini and Perplexity – produced inaccurate summaries of BBC news articles. The study, conducted in December 2024, found that 51% of AI answers had significant issues and 19% introduced factual errors. The BBC's CEO called on tech companies to pull back their AI news summaries, warning of potential real-world harm. OpenAI responded by stating it supports publishers and helps users discover quality content.
5 source articles · read the reporting →
OpenAI released estimates that around 0.07% of active ChatGPT users show signs of psychosis or mania weekly, and 0.15% express suicidal ideation. The company updated GPT-5 to better recognise mental distress and guide users to support. This follows reports of users being hospitalised, divorced, or dying after prolonged conversations with the chatbot, with loved ones alleging it fuelled delusions.
4 source articles · read the reporting →
Two women in Ho Chi Minh City, Vietnam, stopped taking prescribed medications for diabetes and high cholesterol after following advice from OpenAI's ChatGPT. This led to severe health complications, including dangerously high blood sugar and signs of myocardial ischemia, requiring hospitalization. The treating doctor warned that AI cannot replace medical professionals and that self-medicating based on AI advice can be life-threatening.
1 source article · read the reporting →
A study published in Nature Medicine found that OpenAI's ChatGPT Health tool under-triaged 52% of true medical emergencies, directing users to non-urgent care instead of emergency departments. The AI also misclassified 35% of non-urgent cases. Researchers at Mount Sinai conducted 960 tests across 60 clinical scenarios, noting the tool's susceptibility to anchoring bias when symptoms were minimized. The study highlights potential safety concerns as millions use AI for health guidance.
4 source articles · read the reporting →
