Along with the launch of the center, the Shanghai medical large model collaborative innovation and application alliance was also established, which focuses on the innovative application and development of medical large models and exploring new forms of healthcare AI delivery. In addition, other initiat...
Along with the launch of the center, the Shanghai medical large model collaborative innovation and application alliance was also established, which focuses on the innovative application and development of medical large models and exploring new forms of healthcare AI delivery. In addition, other initiat...
A large language model screening tool to target patients for best practice alerts: development and validation. JMIR Med Inform. 2023;11:e49886. doi:10.2196/49886 PubMedGoogle ScholarCrossref 50. Surapaneni KM. Assessing the performance of ChatGPT in medical biochemistry using ...
We believe that large-scale data integration will help in understanding the role of the microbiome from a more comprehensive perspective and that accurate biomarker identification will greatly promote microbiome-based medical diagnosis.Similar content being viewed by others Multi-omic integration of ...
Computer-aided diagnosis (CAD) has advanced medical image analysis, while large language models (LLMs) have shown potential in clinical applications. However, LLMs struggle to interpret medical images, which are critical for decision-making. Here we show a strategy integrating LLMs with CAD network...
Determination of clinical acuity is one of the foundational elements of medical reasoning in emergency medicine and consequently offers an excellent opportunity to explore LLM capabilities using data that are routinely collected during the emergency department (ED) triage process. Emergency department acuity...
Gender representation matters: intervention to solicit medical resident input to enable equity in leadership in graduate medical education. Acad Med. 2020;95(12):93–S97. Article Google Scholar Spain E. Reinventing the Leader Selection Process. Harvard Business Review. Published November 1, 2020....
[1,2]. The introduction of such capabilities over two decades ago was transformational and resulted in significant advances across a wide range of medical fields [3,4], notably in oncology for risk stratification [5,6] and in autoimmunity to elucidate the pathogenesis of diseases like SLE [7...
including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and ...
Mazurowski, M. A.et al. Segment anything model for medical image analysis: An experimental study.Medical Image Analysis89, 102918,https://doi.org/10.1016/j.media.2023.102918(2023). ArticlePubMedGoogle Scholar Xiao, X.et al. Pharmabench: Enhancing admet benchmarks with large language models.fig...