How Accurate Is AI? A Critical Evaluation of Commonly Used Large Language Models in Responding to Patient Concerns About Incidental Kidney Tumors.

Large language models (LLMs) such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly used by patients seeking medical information online. While these tools provide accessible and conversational explanations, their accuracy and safety in emotionally sensitive scenarios-such as an incidental cancer diagnosis-remain uncertain. To evaluate the quality, completeness, readability, and safety of responses generated by three state-of-the-art LLMs to common patient questions following the incidental discovery of a kidney tumor.

De Novo Renal Cell Carcinoma in Kidney Transplant Recipients: Incidence, Outcomes, and Therapeutic Challenges.

: Kidney transplantation is associated with an increased risk of renal cell carcinoma (RCC). This study aimed to evaluate the outcomes of de novo RCC in kidney transplant recipients (KTRs). : We retrospectively identified 50 de novo RCC cases among 4012 KTRs transplanted from 2005 to 2024.

ChatGPT as a Support Tool for Informed Consent and Preoperative Patient Education Prior to Penile Prosthesis Implantation.

: Artificial intelligence (AI), particularly natural language processing (NLP) models such as ChatGPT, presents novel opportunities for patient education and informed consent. This study evaluated ChatGPT's use as a support tool for informed consent before penile prosthesis implantation (PPI) in patients with erectile dysfunction (ED) following radical prostatectomy. : ChatGPT-4 answered 20 frequently asked questions across four categories: ED and treatment, PPI surgery, complications, and postoperative care.