Cover Image

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jiaqing, Contreras, Miguel, Bandyopadhyay, Sabyasachi, Davidson, Andrea, Sena, Jessica, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility
by: Siegel, Scott, et al.
Published: (2024)

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model
by: Contreras, Miguel, et al.
Published: (2025)

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR
by: Contreras, Miguel, et al.
Published: (2024)

APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model
by: Contreras, Miguel, et al.
Published: (2023)

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care
by: Zhang, Jiaqing, et al.
Published: (2025)

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
by: Nerella, Subhash, et al.
Published: (2023)

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium
by: Ren, Yuanfang, et al.
Published: (2025)

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2026)

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
by: Silva, Brandon, et al.
Published: (2024)

Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust
by: Ren, Yuanfang, et al.
Published: (2025)

Federated learning model for predicting major postoperative complications
by: Park, Yonggi, et al.
Published: (2024)

Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study
by: Adiyeke, Esra, et al.
Published: (2024)

AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
by: Nerella, Subhash, et al.
Published: (2023)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2024)

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
by: Ma, Yingbo, et al.
Published: (2024)

Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision
by: Ma, Yingbo, et al.
Published: (2024)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
by: Ma, Yingbo, et al.
Published: (2024)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
by: Adiyeke, Esra, et al.
Published: (2025)

Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool
by: Hu, Zhenhong, et al.
Published: (2025)

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study
by: Adiyeke, Esra, et al.
Published: (2024)

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers
by: Davidson, Andrea E., et al.
Published: (2025)

Auditing Multimodal LLM Raters: Central Tendency Bias in Clinical Ordinal Scoring
by: Zhang, Jiaqing, et al.
Published: (2026)

Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance
by: Davidson, Andrea E, et al.
Published: (2025)

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes
by: Bandyopadhyay, Sabyasachi, et al.
Published: (2024)

Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults
by: Sun, Heng, et al.
Published: (2024)

Acuity
Published: (2020)

AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
by: Linzmayer, Robin, et al.
Published: (2026)

Next-Generation Heat Transfer Laboratories UX-Agile Design and Automation
by: Nerella, Santhi Sri
Published: (2026)

Clinically Inspired Symptom-Guided Depression Detection from Emotion-Aware Speech Representations
by: Nerella, Chaithra, et al.
Published: (2026)

The Mediating Role of Transition Shock on the Relationship Between Leadership Behaviors and Turnover Intention of New Graduate Nurses: A Cross‐Sectional Study
by: Aleyna Başlantı, et al.
Published: (2025)

How much of persistent homology is topology? A quantitative decomposition for spin model phase transitions
by: Loftus, Matthew
Published: (2026)

The topological gap at criticality: scaling exponent d + η, universality, and scope
by: Loftus, Matthew
Published: (2026)

Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in Neural Networks
by: Loftus, Matthew
Published: (2026)

Persistence diagrams of random matrices via Morse theory: universality and a new spectral diagnostic
by: Loftus, Matthew
Published: (2026)

Religiöse Strategien der »machbaren« Gesellschaft
by: Tezcan, Levent
Published: (2020)

Position: The Causal Revolution Needs Scientific Pragmatism
by: Loftus, Joshua
Published: (2024)

A Place in the Homeland? Turkish‐German Return Migration. By NilayKılınç and RussellKing, Edinburgh, UK : Edinburgh University Press, 2025. 315 pp. ISBN: 978‐1‐47‐449457‐1
by: Tolga Tezcan
Published: (2026)

Where Are We Now?
by: Loftus, K. H
Published: (1974)

WOOD-BASED PANELS INDUSTRY IN TURKEY: FUTURE RAW MATERIAL CHALLENGES AND SUGGESTIONS
by: Hasan Tezcan Yildirim
Published: (2014)