Evidence map›Paper›PMID 40528892›Full record

ReviewInnovation (Cambridge (Mass.))2025

Foundation models and intelligent decision-making: Progress, challenges, and perspectives.

Jincai Huang, Yongjun Xu, Qi Wang, Qi Cheems Wang, Xingxing Liang, Fei Wang, Zhao Zhang, Wei Wei, Boxuan Zhang, Libo Huang and 61 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Innovation (Cambridge (Mass.)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

71 authors.

Jincai HuangCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Yongjun XuInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Qi WangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Qi Cheems WangDepartment of Automation, Tsinghua University, Beijing 100084, China.
Xingxing LiangLaboratory for Big Data and Decision, National University of Defense Technology, Changsha 410073, China.
Fei WangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Zhao ZhangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Wei WeiHuazhong University of Science and Technology, Wuhan 430074, China.
Boxuan ZhangSchool of Automation, Beijing Institute of Technology, Beijing 100081, China.
Libo HuangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Jingru ChangSchool of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China.
Liantao MaNational Engineering Research Center for Software Engineering, Peking University, Beijing 100871, China.
Ting MaDepartment of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Yuxuan LiangThe Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China.
Jie ZhangCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.
Jian GuoIDEA Research, International Digital Economy Academy, Shenzhen 518057, China.
Xuhui JiangIDEA Research, International Digital Economy Academy, Shenzhen 518057, China.
Xinxin FanInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Zhulin AnInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Tingting LiInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Xuefei LiInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Zezhi ShaoInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Tangwen QianInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Tao SunInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Boyu DiaoInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Chuanguang YangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Chenqing YuInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Yiqing WuInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Mengxian LiInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Haifeng ZhangInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Yongcheng ZengInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Zhicheng ZhangThe State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Zhengqiu ZhuCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Yiqin LvCollege of Science, National University of Defense Technology, Changsha 410073, China.
Aming LiCenter for Systems and Control, College of Engineering, Peking University, Beijing 100871, China.
Xu ChenGaoling School of Artificial Intelligence, Renmin University of China, Beijing 100872, China.
Bo AnCollege of Computing and Data Science, Nanyang Technological University, Singapore 639798, Singapore.
Wei XiaoSchool of Automation, Beijing Institute of Technology, Beijing 100081, China.
Chenguang BaiSchool of Electrical Engineering, Chongqing University, Chongqing 400044, China.
Yuxing MaoSchool of Electrical Engineering, Chongqing University, Chongqing 400044, China.
Zhigang YinSchool of Electrical Engineering, Chongqing University, Chongqing 400044, China.
Sheng GuiDepartment of Mathematics, The University of Hong Kong, Hong Kong SAR 999077, China.
Wentao SuSchool of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Yinghao ZhuNational Engineering Research Center for Software Engineering, Peking University, Beijing 100871, China.
Junyi GaoCentre for Medical Informatics, University of Edinburgh, Edinburgh EH16 4UX, UK.
Xinyu HeDepartment of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yizhou LiDepartment of Stomatology, Yuquan Hospital, School of Clinical Medicine, Tsinghua University, Beijing 100040, China.
Guangyin JinNational Innovative Institute of Defense Technology, Beijing 100091, China.
Xiang AoInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Xuehao ZhaiDepartment of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK.
Haoran TanCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China.
Lijun YunHUA-Innovation High-Tech (Hangzhou) Co., Ltd., Hangzhou 311100, China.
Hongquan ShiDalian Naval Academy, Dalian 116018, China.
Jun LiSchool of Computer Science, China University of Geosciences, Wuhan 430078, China.
Changjun FanCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Kuihua HuangLaboratory for Big Data and Decision, National University of Defense Technology, Changsha 410073, China.
Ewen HarrisonCentre for Medical Informatics, University of Edinburgh, Edinburgh EH16 4UX, UK.
Victor C M LeungShenzhen MSU-BIT University, Shenzhen 518172, China.
Sihang QiuCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Yanjie DongShenzhen MSU-BIT University, Shenzhen 518172, China.
Xiaolong ZhengThe State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Gang WangSchool of Automation, Beijing Institute of Technology, Beijing 100081, China.
Yu ZhengJD Technology & JD Intelligent Cities Research, Beijing 101111, China.
Yuanzhuo WangInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Jiafeng GuoInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Lizhe WangSchool of Computer Science, China University of Geosciences, Wuhan 430078, China.
Xueqi ChengInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Yaonan WangCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China.
Shanlin YangSchool of Management, Hefei University of Technology, Hefei 230009, China.
Mengyin FuNanjing University of Science and Technology, Nanjing 210094, China.
Aiguo FeiSchool of Computer Science, National Pilot Software Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices and decompose complex tasks into manageable steps, such as AI agents and high-level reinforcement learning. Recent advances in multimodal foundation-based approaches unify diverse input modalities-such as vision, language, and sensory data-into a cohesive decision-making process. Foundation models (FMs) have become pivotal in science and industry, transforming decision-making and research capabilities. Their large-scale, multimodal data-processing abilities foster adaptability and interdisciplinary breakthroughs across fields such as healthcare, life sciences, and education. This survey examines IDM's evolution, advanced paradigms with FMs and their transformative impact on decision-making across diverse scientific and industrial domains, highlighting the challenges and opportunities in building efficient, adaptive, and ethical decision systems.

Indexed as

agentartificial intelligencefoundation modelsintelligent decision-makinglarge language model

Identifiers

PMID40528892
PMCPMC12169281

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.