The rupture of an internal iliac artery aneurysm in the colon is a rare but potentially fatal complication. We report a rectal fistula of an asymptomatic internal iliac artery aneurysm that was discovered incidentally during a medical examination. A 77-year-old man presented at a local hospital for a general medical examination. Although the blood reports revealed severe anemia, the patient did not complain of any associated symptoms including dizziness and hematochezia. Moreover, there was no palpable mass in the patient\'s abdomen, and there was no evidence of hematochezia, as the patient had been using a bidet. Interestingly, computed tomography (CT) revealed a large right internal iliac artery aneurysm. There was a suspicious finding of a fistula within the colon in the CT, but it was undetected in the preoperative sigmoidoscopy. Furthermore, operative findings showed a protruding retroperitoneal mass adhering to the mesentery of the sigmoid colon. During aneurysm resection, the presence of a fistula was unclear. However, a fistula tract, devoid of any infectious bacteria such as tuberculosis, was found in the specimen after colon resection. After a recovery period of approximately one week, the patient was discharged from the hospital without any unusual findings on the post-operative CT. Sigmoid colonic fistulas arising from iliac artery aneurysms are rare. Also, diagnosis may be delayed in special circumstances wherein a patient routinely uses a bidet.

UNASSIGNED: To assess the utility of wearable cameras in medical examinations, we created a physician-view video-based examination question and explanation, and the survey results indicated that these cameras can enhance the evaluation and educational capabilities of medical examinations.

Since the 1970s, the utility of nailfold capillaroscopy (NFC) in diagnosing rheumatological disorders such as systemic sclerosis has been well established. Further studies have also shown that NFC can detect non-rheumatic diseases such as diabetes, glaucoma, dermatitis, and Alzheimer disease. In the past decade, nailfold capillary morphological changes have also been reported as symptoms of unhealthy lifestyle habits such as poor diet, smoking, sleep deprivation, and even psychological stress, all of which contribute to slow blood flow. Therefore, studying the relationships between the morphology of nailfold capillaries and lifestyle habits has a high potential to indicate unhealthy states or even pre-disease conditions. Simple, inexpensive, and non-invasive methods such as NFC are important and useful for routine medical examinations. The present study began with a systematic literature search of the PubMed database followed by a summary of studies reporting the assessment of morphological changes detected by NFC, and a comprehensive review of NFC\'s utility in clinical diagnosis and improving unhealthy dietary lifestyles. It culminates in a summary of dietary and lifestyle health promotion strategy, assessed based on NFC and other related measurements that indicate healthy microvascular blood flow and endothelial function.

This article aims to provide a historical overview of how workplace safety and health legislations in Singapore and Japan have evolved, and perform a comparative analysis of the occupational health systems where work-related medical examinations and health screening are concerned. The discourse is centered on three key themes - coverage, comprehensiveness, and continuity of care. The comparative analysis was performed based on secondary data obtained from open-source platforms. Singapore and Japan have robust workplace safety and health legislative frameworks and laws. However, their approaches diverge because of differing socioeconomic and political contexts. Japan\'s regulations are generally more comprehensive, require more frequent monitoring of workers\' health status, and encompass both physical and mental health components. Singaporean companies focus primarily on the physical component of health, and statutory examinations are required only for exposure to specific occupational hazards. With increasing prominence of mental health issues and shift towards preventive care in Singapore, there will be greater emphasis on a holistic approach to each employee\'s overall health in future. For Japan, the challenge would be to strike a balance between long-term sustainability of current policies against the need for state and corporations to still retain an adequate stake in ensuring workers\' overall health.

OBJECTIVE: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings, primarily due to limited clinical knowledge in respective languages, a consequence of imbalanced training corpora. We systematically evaluate LLMs in the Chinese medical context and develop a novel in-context learning framework to enhance their performance.
METHODS: The latest China National Medical Licensing Examination (CNMLE-2022) served as the benchmark. We collected 53 medical books and 381 149 medical questions to construct the medical knowledge base and question bank. The proposed Knowledge and Few-shot Enhancement In-context Learning (KFE) framework leverages the in-context learning ability of LLMs to integrate diverse external clinical knowledge sources. We evaluated KFE with ChatGPT (GPT-3.5), GPT-4, Baichuan2-7B, Baichuan2-13B, and QWEN-72B in CNMLE-2022 and further investigated the effectiveness of different pathways for incorporating LLMs with medical knowledge from 7 distinct perspectives.
RESULTS: Directly applying ChatGPT failed to qualify for the CNMLE-2022 at a score of 51. Cooperated with the KFE framework, the LLMs with varying sizes yielded consistent and significant improvements. The ChatGPT\'s performance surged to 70.04 and GPT-4 achieved the highest score of 82.59. This surpasses the qualification threshold (60) and exceeds the average human score of 68.70, affirming the effectiveness and robustness of the framework. It also enabled a smaller Baichuan2-13B to pass the examination, showcasing the great potential in low-resource settings.
CONCLUSIONS: This study shed light on the optimal practices to enhance the capabilities of LLMs in non-English medical scenarios. By synergizing medical knowledge through in-context learning, LLMs can extend clinical insight beyond language barriers in healthcare, significantly reducing language-related disparities of LLM applications and ensuring global benefit in this field.

The dental treatment of patients with oral cavity and oropharyngeal squamous cell carcinoma (OOPSCC) may be challenging for dentists. This study aimed to characterize systemic changes in patients with OOPSCC undergoing dental treatment prior to cancer therapy, with a specific focus on laboratory assessments. The primary objectives included identifying potential adverse events, such as infections or bleeding, resulting from dental procedures. Additionally, the study aimed to correlate baseline patient characteristics with treatment-related toxicities. This was a prospective cohort study that included 110 OOPSCC patients referred to the Dental Oncology Service at São Paulo State Cancer Institute, Brazil, between November/2019 and December/2020. Comorbidities, sociodemographic data, medication in use, cancer treatment-related toxicities, and altered laboratory tests results were correlated. The most common comorbidities and altered laboratory results were hypertension, dyslipidemia, diabetes, as well as elevated levels of C-reactive protein, hemoglobin, and hematocrit. Toxicities exhibited a progressive pattern over time, encompassing oral mucositis (OM), xerostomia, dysphagia, dysgeusia, trismus, and radiodermatitis. No correlation between comorbidities and cancer treatment-related toxicities, a positive correlation between medications in use and OM, and a negative correlation between medications and dysgeusia were found. OM was associated with altered thyroxine (T4) and free thyroxine (FT4), calcium, urea, creatinine, alkaline phosphatase, and syphilis. Family income and housing were OM predictors. Altered T4/FT4/urea/calcium/alkaline phosphatase/creatinine/syphilis may be useful clinical predictors of OM. Despite the elevated prevalence of comorbidities and abnormal laboratory findings, dental treatment prior to cancer treatment yielded no adverse events.

BACKGROUND: Writing multiple choice questions (MCQs) for the purpose of medical exams is challenging. It requires extensive medical knowledge, time and effort from medical educators. This systematic review focuses on the application of large language models (LLMs) in generating medical MCQs.
METHODS: The authors searched for studies published up to November 2023. Search terms focused on LLMs generated MCQs for medical examinations. Non-English, out of year range and studies not focusing on AI generated multiple-choice questions were excluded. MEDLINE was used as a search database. Risk of bias was evaluated using a tailored QUADAS-2 tool.
RESULTS: Overall, eight studies published between April 2023 and October 2023 were included. Six studies used Chat-GPT 3.5, while two employed GPT 4. Five studies showed that LLMs can produce competent questions valid for medical exams. Three studies used LLMs to write medical questions but did not evaluate the validity of the questions. One study conducted a comparative analysis of different models. One other study compared LLM-generated questions with those written by humans. All studies presented faulty questions that were deemed inappropriate for medical exams. Some questions required additional modifications in order to qualify.
CONCLUSIONS: LLMs can be used to write MCQs for medical examinations. However, their limitations cannot be ignored. Further study in this field is essential and more conclusive evidence is needed. Until then, LLMs may serve as a supplementary tool for writing medical examinations. 2 studies were at high risk of bias. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

BACKGROUND: Large language models like ChatGPT have revolutionized the field of natural language processing with their capability to comprehend and generate textual content, showing great potential to play a role in medical education. This study aimed to quantitatively evaluate and comprehensively analysis the performance of ChatGPT on three types of national medical examinations in China, including National Medical Licensing Examination (NMLE), National Pharmacist Licensing Examination (NPLE), and National Nurse Licensing Examination (NNLE).
METHODS: We collected questions from Chinese NMLE, NPLE and NNLE from year 2017 to 2021. In NMLE and NPLE, each exam consists of 4 units, while in NNLE, each exam consists of 2 units. The questions with figures, tables or chemical structure were manually identified and excluded by clinician. We applied direct instruction strategy via multiple prompts to force ChatGPT to generate the clear answer with the capability to distinguish between single-choice and multiple-choice questions.
RESULTS: ChatGPT failed to pass the accuracy threshold of 0.6 in any of the three types of examinations over the five years. Specifically, in the NMLE, the highest recorded accuracy was 0.5467, which was attained in both 2018 and 2021. In the NPLE, the highest accuracy was 0.5599 in 2017. In the NNLE, the most impressive result was shown in 2017, with an accuracy of 0.5897, which is also the highest accuracy in our entire evaluation. ChatGPT\'s performance showed no significant difference in different units, but significant difference in different question types. ChatGPT performed well in a range of subject areas, including clinical epidemiology, human parasitology, and dermatology, as well as in various medical topics such as molecules, health management and prevention, diagnosis and screening.
CONCLUSIONS: These results indicate ChatGPT failed the NMLE, NPLE and NNLE in China, spanning from year 2017 to 2021. but show great potential of large language models in medical education. In the future high-quality medical data will be required to improve the performance.

The relationships between work and health/illness are the main task of the occupational physician, with the occupational medical examination being used to address these relationships, together with a workplace study and epidemiological analyses. This study had as a guiding clinical question: Is telemedicine occupational examination (telediagnosis) accurate compared with in-person occupational examination? The studies were selected by four independent reviewers, meeting the eligibility criteria. The searches resulted in 12,654, 29, 3, and 0 articles retrieved from MEDLINE, EMBASE, and Google Scholar databases and hand search, respectively. Of this total, 284 studies were selected by title and abstract screening, none of which met the previously established eligibility criteria for study inclusion (references excluded). There is currently no evidence comparing regular or standard (in-person) occupational examination vs telemedicine occupational examination. Therefore, there is no supporting evidence to recommend the use of occupational telediagnosis (occupational examination).
As relações entre trabalho e saúde/doença são a principal tarefa do médico do trabalho, sendo o exame ocupacional utilizado para abordar essas relações, juntamente com o estudo do local de trabalho e análises epidemiológicas. Este estudo teve como questão clínica norteadora: o exame ocupacional por telemedicina (telediagnóstico) é acurado quando comparado ao exame ocupacional presencial? Os trabalhos foram selecionados por quatro revisores independentes, atendendo aos critérios de elegibilidade. Foram recuperados, nas bases consultadas MEDLINE, EMBASE, Google Scholar e manual, respectivamente, 12.654, 29, 3 e 0 artigos. Desse montante, foi selecionado pelo título e resumo um total de 284 estudos (referências excluídas), dos quais não foi possível selecionar nenhum que atendesse aos critérios de elegibilidade previamente estabelecidos. No momento, não há evidência comparando o exame ocupacional regular ou padrão (presencial) e o mesmo exame por meio de telemedicina. Portanto, não há como recomendar o uso de telediagnóstico ocupacional (exame ocupacional).

BACKGROUND: ChatGPT is among the most popular large language models (LLMs), exhibiting proficiency in various standardized tests, including multiple-choice medical board examinations. However, its performance on otolaryngology-head and neck surgery (OHNS) certification examinations and open-ended medical board certification examinations has not been reported.
OBJECTIVE: We aimed to evaluate the performance of ChatGPT on OHNS board examinations and propose a novel method to assess an AI model\'s performance on open-ended medical board examination questions.
METHODS: Twenty-one open-ended questions were adopted from the Royal College of Physicians and Surgeons of Canada\'s sample examination to query ChatGPT on April 11, 2023, with and without prompts. A new model, named Concordance, Validity, Safety, Competency (CVSC), was developed to evaluate its performance.
RESULTS: In an open-ended question assessment, ChatGPT achieved a passing mark (an average of 75% across 3 trials) in the attempts and demonstrated higher accuracy with prompts. The model demonstrated high concordance (92.06%) and satisfactory validity. While demonstrating considerable consistency in regenerating answers, it often provided only partially correct responses. Notably, concerning features such as hallucinations and self-conflicting answers were observed.
CONCLUSIONS: ChatGPT achieved a passing score in the sample examination and demonstrated the potential to pass the OHNS certification examination of the Royal College of Physicians and Surgeons of Canada. Some concerns remain due to its hallucinations, which could pose risks to patient safety. Further adjustments are necessary to yield safer and more accurate answers for clinical implementation.