多模态人工智能支持下的老年综合征教学及实践 ^*

Innovative application research of multimodal artificial intelligence in the teaching and practice of geriatric syndrome

摘要

由非特异临床表现组成的老年综合征, 起病隐匿且症状表现不一, 在教学应用和临床处置中存在难点。 老年综合征的评估及管理对老年医学教学工作意义重大, 鉴于人工智能技术在医疗健康领域的巨大应用潜力, 依托多模态大模型体系, 构建智能化的老年综合征教学平台, 开发交互式老年综合征评估及训练系统, 为老年综合征教学提供了新的智能化解决方案, 显著提升了老年综合征的教学效果, 对老年医学专业人才培养具有重要价值。

Abstract

As non-specific conditions that significantly affect the health status of the elderly, Geriatric syndrome play a crucial role in geriatric teaching and clinical practice. Due to their insidious onset and variable symptoms, geriatric syndrome pose numerous challenges in current teaching and diagnosis, as well as treatment. Given the broad application prospects of artificial intelligence technology in the medical and health field, relying on a multimodal large model system, an intelligent teaching platform for geriatric syndrome is constructed, and an interactive assessment and training system for geriatric syndrome is developed. This provides a new intelligent solution for the teaching and clinical practice of geriatric syndrome, significantly improving the teaching effect of geriatric syndrome and having significant value for the cultivation of professionals in geriatrics.

关键词

多模态 / 大模型 / 老年综合征 / 教学

Key words

Multimodal / Large model / Geriatric syndrome / Teaching

参考文献

[1] Rockwood K, Mitnitski A . Geriatric syndromes[J]. J Am Geriatr Soc, 2007, 55(12): 2092.

[2] Topol E J . As artificial intelligence goes multimodal, medical applications multiply[J]. Science, 2023, 381(6663): adk6139.

[3] 曹炳阳 . 多模态数据融合在计算机人工智能中的优化[J]. 电脑编程技巧与维护, 2025(5): 113-115.

[4] Cao B Y . Optimization of multimodal data fusion in computer artificial intelligence[J]. Comput Program Ski Maint, 2025(5): 113-115.

[5] Johnson R, Li M M, Noori A, et al. Graph artificial intelligence in medicine[J]. Annu Rev Biomed Data Sci, 2024, 7: 345-368.

[6] Cantero—García M, Llorente M, Gómez—Martínez S, et al. Attitudes toward death and burnout syndrome in geriatrics and gerontology healthcare personnel[J]. Rev Española De Geriatría Y Gerontol, 2023, 58(6): 101422.

[7] 许静, 费思佳, 崔巍, 等 . 老年综合征评估在全科医师专培带教中的应用[J]. 医学教育研究与实践, 2020, 28(5): 887-890.

[8] Xu J , Fei S J , Cui W , et al. Application of geriatric comprehensive assessment in clinical teaching of standardized training of general practitioners[J]. Med Educ Res Pract, 2020, 28(5): 887-890.

[9] 张媛媛, 刘婧, 文张, 等 . 医学模拟教育现状与未来发展[J]. 中华医学教育杂志, 2025, 45(4): 241-246.

[10] Zhang Y Y , Liu J , Wen Z , et al. Current status and future development of simulation—based medical education[J]. Chin J Med Educ, 2025, 45(4): 241-246.

[11] 程新春, 马创, 汤宝鹏 . 探索老年综合评估管理模式在现代老年医学教学中的应用[J]. 大众科技, 2017, 19(12): 96-97, 114.

[12] Cheng X C , Ma C , Tang B P . Primary exploration of comprehensive geriatric assessment model in teaching geriatrics[J]. Dazhong Keji, 2017, 19(12): 96-97, 114.

[13] 贺洁宇, 詹俊鲲, 刘幼硕 . 老年综合评估联合CBL教学法在老年医学教学中的应用[J]. 科学咨询, 2023(5): 56-58.

[14] He J Y , Zhan J K , Liu Y S . Application of comprehensive evaluation of the elderly combined with CBL teaching method in gerontology teaching[J]. Sci Consult, 2023(5): 56-58.

[15] 邹静斐, 尹丽君, 罗宗婷, 等 . 人工智能语音技术在医疗随访中的应用[J]. 现代临床医学, 2025, 51(3): 225-228.

[16] Zou J F , Yin L J , Luo Z T , et al. Application of artificial intelligence voice technology in medical follow—up[J]. J Mod Clin Med, 2025, 51(3): 225-228.

[17] 胡声丹, 李萍, 谈美乐, 等 . 基于GenAI的医学人工智能基础课程教学改革探索[J]. 中国医学教育技术, 2025, 39(4): 511-518.

[18] Hu S D , Li P , Tan M L , et al. Exploration of GenAI—based teaching reform of medical artificial intelligence fundamentals[J]. China Med Educ Technol, 2025, 39(4): 511-518.

[19] 张新峰, 高子君, 刘晓民, 等 . 人工智能在小肠息肉图像无创检测领域的研究进展[J]. 北京工业大学学报, 2026(2): 1-10.

[20] Zhang X F , Gao Z J , Liu X M , et al. Research progress of AI in non—invasive detection of small intestinal polyp images[J]. J Beijing Univ of Tech, 2026(2): 1-10.

[21] 刘红蕾, 杨迎亮, 李荣浩, 等 . 人工智能在肿瘤诊疗研究中的应用[J]. 首都医科大学学报, 2025, 46(3): 395-400.

[22] Liu H L , Yang Y L , Li R H , et al. Application of artificial intelligence in the study of cancer diagnosis and treatment research[J]. J Cap Med Univ, 2025, 46(3): 395-400.

[23] 王菁, 陈炜, 冯东 . 人工智能大模型对医疗健康行业的影响探析[J]. 现代医院, 2025, 25(5): 759-763.

[24] Wang J , Chen W , Feng D . Analysis of the impact of artificial intelligence large models on the healthcare industry[J]. Mod Hosp J, 2025, 25(5): 759-763.

[25] Masters K . Artificial intelligence in medical education[J]. Med Teach, 2019, 41(9): 976-980.

[26] Lee H . The rise of ChatGPT: exploring its potential in medical education[J]. Anat Sci Educ, 2024, 17(5): 926-931.

[27] 龚凌云, 闫文 . “健康中国”战略视角下老干部健康问题的思考与实践———以某三甲医院为例[J]. 现代医院, 2019, 19(11): 1569-1571.

[28] Gong L Y , Yan W . Reflectionson the health problems of veteran cadres from the strategic perspective of “Healthy China”: taking a First—Class grade—a hospital as an example[J]. Mod Hosp, 2019, 19(11): 1569-1571.

[29] Gordon M, Daniel M, Ajiboye A, et al. A scoping review of artificial intelligence in medical education: BEME Guide No. 84[J]. Med Teach, 2024, 46(4): 446-470.

基金资助

^*国家自然科学基金项目(82300370)

西京医院医务人员培养助推项目(XJZT25QN40)