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Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk score prediction models are limited in their generalizability…

Computers and Society · Computer Science 2019-06-19 Lasith Adhikari , Tezcan Ozrazgat-Baslanti , Paul Thottakkara , Ashkan Ebadi , Amir Motaei , Parisa Rashidi , Xiaolin Li , Azra Bihorac

Acute kidney injury (AKI) is a common clinical syndrome characterized by a sudden episode of kidney failure or kidney damage within a few hours or a few days. Accurate early prediction of AKI for patients in ICU who are more likely than…

Computation and Language · Computer Science 2022-05-10 Chengsheng Mao , Liang Yao , Yuan Luo

Accurate early prediction of Acute Kidney Injury (AKI) is critical for timely clinical intervention. However, existing deep learning models struggle with irregularly sampled data and suffer from the opaque "black-box" nature of sequential…

Machine Learning · Computer Science 2026-04-23 Weizhi Nie , Haolin Chen

Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing…

Machine Learning · Computer Science 2019-03-06 Samuel J. Weisenthal , Caroline Quill , Samir Farooq , Henry Kautz , Martin S. Zand

Knee osteoarthritis frequently exhibits discordance between structural damage observed in imaging and patient-reported symptoms such as pain. This mismatch complicates clinical interpretation and patient stratification and remains…

Machine Learning · Computer Science 2026-04-21 Pegah Ahadian , Mingrui Yang , Sixu Chen , Xiaojuan Li , Qiang Guan

Several algorithms for learning the structure of dynamic Bayesian networks (DBNs) require an a priori ordering of variables, which influences the determined graph topology. However, it is often unclear how to determine this order if feature…

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in…

Machine Learning · Computer Science 2024-01-10 Gabriel D. M. Manalu , Mulomba Mukendi Christian , Songhee You , Hyebong Choi

Objectives: We aim to quantify longitudinal acute kidney injury (AKI) trajectories and to describe transitions through progressing and recovery states and outcomes among hospitalized patients using multistate models. Methods: In this large,…

Quantitative Methods · Quantitative Biology 2023-03-13 Esra Adiyeke , Yuanfang Ren , Ziyuan Guan , Matthew M. Ruppert , Parisa Rashidi , Azra Bihorac , Tezcan Ozrazgat-Baslanti

Cataract surgery remains one of the most widely performed and effective procedures for vision restoration. Effective surgical planning requires integrating diverse clinical examinations for patient assessment, intraocular lens (IOL)…

Multiagent Systems · Computer Science 2025-08-28 Yang Meng , Zewen Pan , Yandi Lu , Ruobing Huang , Yanfeng Liao , Jiarui Yang

Acute kidney injury (AKI) in critically ill patients is associated with significant morbidity and mortality. Development of novel methods to identify patients with AKI earlier will allow for testing of novel strategies to prevent or reduce…

Machine Learning · Computer Science 2018-11-12 Yikuan Li , Liang Yao , Chengsheng Mao , Anand Srivastava , Xiaoqian Jiang , Yuan Luo

Acute kidney injury (AKI) is a serious clinical condition that affects up to 20% of hospitalised patients. AKI is associated with short term unplanned hospital readmission and post-discharge mortality risk. Patient risk and healthcare…

Machine Learning · Computer Science 2024-10-24 Flavio S. Correa da Silva , Simon Sawhney

Algorithmic problem solving serves as a rigorous testbed for evaluating structured reasoning in AI coding systems, as it directly reflects a model's ability to perform structured reasoning in complex scenarios. Existing approaches…

Artificial Intelligence · Computer Science 2026-05-11 Yuliang Xu , Xiang Xu , Yao Wan , Hu Wei , Tong Jia

Background: Cirrhosis is a progressive liver disease with high mortality and frequent complications, notably acute kidney injury (AKI), which occurs in up to 50% of hospitalized patients and worsens outcomes. AKI stems from complex…

Machine Learning · Computer Science 2025-08-15 Li Sun , Shuheng Chen , Junyi Fan , Yong Si , Minoo Ahmadi , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

Accurate interpretation of clinical narratives is critical for patient care, but the complexity of these notes makes automation challenging. While Large Language Models (LLMs) show promise, single-model approaches can lack the robustness…

Artificial Intelligence · Computer Science 2025-09-01 Yeawon Lee , Xiaoyang Wang , Christopher C. Yang

Recent advances in the data-driven medicine approach, which integrates ethically managed and explainable artificial intelligence into clinical decision support systems (CDSS), are critical to ensure reliable and effective patient care. This…

Artificial Intelligence · Computer Science 2025-09-23 Ying-Jung Chen , Ahmad Albarqawi , Chi-Sheng Chen

The development of intelligent agents, particularly those powered by language models (LMs), has shown a critical role in various environments that require intelligent and autonomous decision-making. Environments are not passive testing…

Artificial Intelligence · Computer Science 2025-10-21 Antonin Sulc , Thorsten Hellert

Multi-agent systems (MAS) powered by large language models (LLMs) hold significant promise for solving complex decision-making tasks. However, the core process of collaborative decision-making (CDM) within these systems remains…

Artificial Intelligence · Computer Science 2025-08-19 Xuyang Zhao , Shiwan Zhao , Hualong Yu , Liting Zhang , Qicheng Li

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This reaction can subsequently cause organ failure, a major one being acute kidney injury (AKI). For septic patients, approximately 50% develop AKI,…

Machine Learning · Computer Science 2024-12-06 Aleyeh Roknaldin , Zehao Zhang , Jiayuan Xu , Kamiar Alaei , Maryam Pishgar

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. In order to optimally predict AKI before it develops at any time during a hospital stay, we present a novel framework in which…

Quantitative Methods · Quantitative Biology 2019-02-28 Rohit J. Kate , Noah Pearce , Debesh Mazumdar , Vani Nilakantan

While multi-agent systems (MAS) promise elevated intelligence through coordination of agents, current approaches to automatic MAS design under-deliver. Such shortcomings stem from two key factors: (1) methodological complexity - agent…

Artificial Intelligence · Computer Science 2026-05-25 Zixuan Ke , Yifei Ming , Austin Xu , Ryan Chin , Xuan-Phi Nguyen , Prathyusha Jwalapuram , Jiayu Wang , Semih Yavuz , Caiming Xiong , Shafiq Joty
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