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COVID-19 workplace countermeasures that occupational physicians could not change in Japan: a qualitative study.
BMC Public Health
January 2025
Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Fukuoka, Japan.
Background: During the COVID-19 pandemic, information and circumstances changed from moment to moment, including the accumulation of scientific knowledge, the emergence of variants, social tolerance, and government policy. Therefore, it was important to adapt workplace countermeasures punctually and flexibly based on scientific evidence and according to circumstances. However, there has been no assessment of changes in workplace countermeasures.
View Article and Find Full Text PDFTrigeminal neuralgia improvement following Transcutaneous Electrical Nerve Stimulation (TENS): a systematic review and meta-analysis.
BMC Neurol
January 2025
General Physician, Arab Care Hospital, Ramallah, 00970, Palestine.
Background: Trigeminal neuralgia (TN) is a prevalent and debilitating craniofacial pain disorder characterized by severe, unilateral, shock-like pain. Standard treatments include anti-epileptic drugs and surgical interventions, but many patients experience limited relief or adverse effects. Non-invasive therapies, such as transcutaneous electrical nerve stimulation (TENS), have emerged as alternative options.
View Article and Find Full Text PDFMedical large language models are vulnerable to data-poisoning attacks.
Nat Med
January 2025
Department of Neurosurgery, NYU Langone Health, New York, NY, USA.
The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development.
View Article and Find Full Text PDFToward expert-level medical question answering with large language models.
Nat Med
January 2025
Google Research, Mountain View, CA, USA.
Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.
View Article and Find Full Text PDFDetection of paediatric skull fractures using POCUS.
Emerg Med J
January 2025
Emergency Medicine, Queen's University, Kingston, Ontario, Canada.
A shortcut review of the literature was conducted to examine the sensitivity and specificity of point-of-care ultrasound (POCUS) in detecting paediatric skull fractures. A total of 162 publications were screened by title and abstract, 13 studies underwent full text review, and after review of bibliographies of meta-analyses and systematic reviews, a total of 6 articles were included. Details about the author, date of publication, country of publication, patient group studied, study type, relevant outcomes (skull fracture), results and study limitations were tabulated.
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