Chinese medical journal
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Chinese medical journal · Jan 2025
ReviewApplication of large language models in disease diagnosis and treatment.
Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. ⋯ Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
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Chinese medical journal · Jan 2025
ReviewCardiovascular diseases in patients with cancer: A comprehensive review of epidemiological trends, cardiac complications, and prognostic implications.
This article provides an overview of the current evidence on the epidemiology, overlapping risk factors, and pathophysiology of cardiovascular disease (CVD) in patients with cancer. It explores the cardiotoxic effects of anticancer therapy and their impact on prognosis. Although cancer survival rates have improved over the last two decades, the risk of CVD has risen over time in patients with cancer. ⋯ Given the acute and long-term consequences, patients with cancer require increased cardiovascular care and lifestyle optimization. This article offers valuable insights into the cardiovascular burden and needs of patients with cancer. It is intended for a general medical research readership interested in the intersection of cardiology and oncology.
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Chinese medical journal · Jan 2025
Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model.
Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important characteristic of acute glaucoma. Receptor-interacting protein kinase 3 (RIPK3) that mediates necroptosis is a potential therapeutic target for RGC death. However, the current understanding of the targeting agents and mechanisms of RIPK3 in the treatment of glaucoma remains limited. Notably, artificial intelligence (AI) technologies have significantly advanced drug discovery. This study aimed to discover RIPK3 inhibitor with AI assistance. ⋯ AI-enabled drug discovery revealed that HG9-91-01 could serve as a potential treatment for acute glaucoma.