TFDP1 transcriptionally activates KIF22 to enhance aggressiveness and stemness in endometrial cancer: implications for prognosis and targeted therapy.

This study aims to elucidate the role of Kinesin Family Member 22 (KIF22) as a critical regulator of aggressive behavior in endometrial cancer (uterine corpus endometrial carcinoma, UCEC) and to uncover its underlying mechanisms, thereby providing a molecular rationale for future targeted treatment. Bioinformatics analyses were employed to assess KIF22 and TFDP1 expression in UCEC, examining their prognostic value and associations with disease progression. Expression levels were validated in UCEC tissues using qRT-PCR and western blotting.

Clinical application potential of large language model: a study based on thyroid nodules.

Background: Limited data indicated the performance of large language model (LLM) taking on the role of doctors. We aimed to investigate the potential for ChatGPT-3.5 and New Bing Chat acting as doctors using thyroid nodules as an example.

Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography.

Purpose: The importance of structured radiology reports has been fully recognized, as they facilitate efficient data extraction and promote collaboration among healthcare professionals. Our purpose is to assess the accuracy and reproducibility of ChatGPT, a large language model, in generating structured thyroid ultrasound reports.

Methods: This is a retrospective study that includes 184 nodules in 136 thyroid ultrasound reports from 136 patients.

Performance of large language models on benign prostatic hyperplasia frequently asked questions.

Background: Benign prostatic hyperplasia (BPH) is a common condition, yet it is challenging for the average BPH patient to find credible and accurate information about BPH. Our goal is to evaluate and compare the accuracy and reproducibility of large language models (LLMs), including ChatGPT-3.5, ChatGPT-4, and the New Bing Chat in responding to a BPH frequently asked questions (FAQs) questionnaire.

Effect of Hashimoto's thyroiditis on the extent of the ablation zone in early stages of ultrasound-guided radiofrequency ablation for papillary thyroid microcarcinoma: a large cohort study of 772 patients.

Purpose: To evaluate the effect of Hashimoto's thyroiditis (HT) on the extent of ablation zone in ultrasound (US)-guided radiofrequency ablation (RFA) for early stages of papillary thyroid microcarcinoma (PTMC).

Method: We selected 772 patients with 797 PTMCs who underwent with RFA from August 2017 to August 2020. They were subdivided into two groups as follows: (i) 216 patients (224 PTMCs) with HT in the 'HT + PTMC' group and (ii) 556 patients (573 PTMCs) with healthy thyroid in the 'PTMC' group.

Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.

Purpose: To establish a practical and simplified Chinese thyroid imaging reporting and data system (C-TIRADS) based on the Chinese patient database.

Methods: A total of 2141 thyroid nodules that were neither cystic nor spongy were used in the current study. These specimens were derived from 2141 patients in 131 alliance hospitals of the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound.