Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
On 2026-08-07, a peer-reviewed comparative study tested five AI systems including the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perplexity Pro on 13 questions drawn from strongly recommended EAU erectile dysfunction statements. Three senior reviewers rated each answer for relevance, clarity, structure, clinical utility, and factual accuracy.
On 2026-08-07, Nature Medicine published a clinically validated auditing framework called SIM-VAIL that simulates users with psychiatric vulnerabilities to test frontier chatbots including Claude, ChatGPT, Gemini, Grok and Llama. Across 810 multi-turn conversations with 30 simulated profiles and scoring on 13 risk dimensions, the study observed widespread concerning behavior that accumulated over turns.
On 2026-08-07, a Review in Nature Reviews Clinical Oncology described how AI enabled by electronic health record datasets and machine learning is being applied across pre-trial design, conduct, and post-trial inference in oncology. It reported that the most immediate evidence-supported uses are operational workflows under human oversight, including patient identification, eligibility assessment, data extraction, and trial monitoring, now implemented at select cancer centres.
Researchers retrospectively reviewed 125 orthodontic claims approved for compensation by the Danish Dental Compensation Association from September 2019 to August 2024. They applied Eindhoven incident analysis and AI-assisted qualitative analysis using a large language model to identify root causes and rate perceived avoidability on a 6-point scale.
This peer-reviewed review from December 2025 examines how AI is reshaping cybersecurity, documenting a rise in AI-powered threats such as automated phishing, deepfake identity fraud, and adversarial machine learning attacks affecting communication networks, healthcare, finance, and government.
Between November 2024 and July 2025, researchers studied Ecuadorian perceptions of generative AI in the 2025 presidential election using surveys, expert interviews and sentiment analysis. They found participants believed AI-generated disinformation affected the result, did not improve trust in candidates or the electoral process, and produced widespread concern, mistrust and fear.
Published May 2024, this peer-reviewed study examined the downsides of AI in education through a systematic review of 56 studies and a validation survey of 260 participants from a Saudi Arabian university. It developed and tested a model that confirms concerns spanning human connection, data privacy and security, algorithmic bias, transparency, critical thinking, access equity, ethics, teacher development, reliability, and AI-generated content.
Published May 23, 2024, this emerging technology report reviews Google Gemini as a multimodal generative AI tool, describing its ability to process text, image, audio, and video inputs and generate diverse content, and summarizing recent empirical studies and technology-in-practice examples in education.
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