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This article presents a case of cervical metastasis from recurrence of invasive ductal carcinoma of the breast >20 years after initial diagnosis. The diagnosis was made after the patient presented with three months of intermittent post-menopausal vaginal spotting. She underwent palliative radiotherapy combined with chemotherapy and was disease free at the time of writing. Cervical metastasis of a primary breast cancer is extremely rare and can present with a variety of symptoms. This case report highlights the importance of life-long gynecologic care and surveillance in patients with a history of breast cancer.
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OBJECTIVE: To evaluate the reliability of three artificial intelligence (AI) chatbots (ChatGPT, Google Bard, and Chatsonic) in generating accurate references from existing obstetric literature. STUDY DESIGN: Between mid-March and late April 2023, ChatGPT, Google Bard, and Chatsonic were prompted to provide references for specific obstetrical randomized controlled trials (RCTs) published in 2020. RCTs were considered for inclusion if they were mentioned in a previous article that primarily evaluated RCTs published by the top medical and obstetrics and gynecology journals with the highest impact factors in 2020 as well as RCTs published in a new journal focused on publishing obstetric RCTs. The selection of the three AI models was based on their popularity, performance in natural language processing, and public availability. Data collection involved prompting the AI chatbots to provide references according to a standardized protocol. The primary evaluation metric was the accuracy of each AI model in correctly citing references, including authors, publication title, journal name, and digital object identifier (DOI). Statistical analysis was performed using a permutation test to compare the performance of the AI models. RESULTS: Among the 44 RCTs analyzed, Google Bard demonstrated the highest accuracy, correctly citing 13.6% of the requested RCTs, whereas ChatGPT and Chatsonic exhibited lower accuracy rates of 2.4 and 0%, respectively. Google Bard often substantially outperformed Chatsonic and ChatGPT in correctly citing the studied reference components. The majority of references from all AI models studied were noted to provide DOIs for unrelated studies or DOIs that do not exist. CONCLUSION: To ensure the reliability of scientific information being disseminated, authors must exercise caution when utilizing AI for scientific writing and literature search. However, despite their limitations, collaborative partnerships between AI systems and researchers have the potential to drive synergistic advancements, leading to improved patient care and outcomes. KEY POINTS: · AI chatbots often cite scientific articles incorrectly.. · AI chatbots can create false references.. · Responsible AI use in research is vital..
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Leptomeningeal carcinomatosis (LMC) is an extremely rare site for metastasis from a primary ovarian cancer. LMC occurs when the thin layers of tissue that surround the brain and spinal cord are infiltrated by ovarian cancer metastasis. We present a case of a 63-year-old female with recurrent metastatic mucinous adenocarcinoma of the ovary who was diagnosed with LMC. While undergoing sixth-line chemotherapy, she presented with debilitating headaches and gait instability. Brain MRI revealed subarachnoid enhancement and other findings diagnostic of LMC. Given the rarity of this disease, treatment protocols have yet to be established. In patients with primary ovarian cancer that present with new onset neurological complaints, LMC should be suspected and appropriate imaging obtained.
