Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 337-357 of 4,771 articles
A multi-target drug design method based on target feature fusion.

BACKGROUND: Targeted drugs are medications designed to treat diseases by targeting specific sites on...

Apr 2026 42050404
Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.

Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in inciden...

Apr 2026 42050229
Artificial intelligence and computerized decision support in adult intensive care: A systematic review of randomized controlled trials.

BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) a...

Apr 2026 42048766
Multi-stimuli and AI-guided electrically-responsive self-healing nanocomposites for low-temperature structural applications.

Self‑healing nanocomposites capable of operating under sub‑ambient aerospace conditions remain limit...

Apr 2026 42034711
Identification and multi-layered experimental validation of feature genes related to butyrate metabolism and oxidative stress in sepsis.

The mechanisms underlying sepsis remain poorly understood and specific therapeutic options remain la...

Apr 2026 42028810
Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini...

(1)
Apr 2026 42030537
Resolving the multiscale design trade-off in bone tissue engineering: From generative design to digital twins.

The clinical translation of bone tissue engineering is constrained by a severe multiscale design tra...

Apr 2026 42030977
Development and validation of a machine learning model for predicting positive blood cultures using vital signs in ICU patients.

Bloodstream infections require timely and appropriate diagnosis and treatment, as inadequate managem...

Apr 2026 42032214
Emerging technologies and AI-assisted tools in cardiopulmonary monitoring.

PURPOSE OF REVIEW: Cardiopulmonary monitoring is fundamental to critical care, yet traditional appro...

Apr 2026 42019488
Lightweight large language models for early sepsis prediction via a semantic abstraction rule engine.

Sepsis remains a major global health challenge due to its high mortality rate and the difficulty of ...

Apr 2026 42020527
LSTM-GRU hybrid model for multi-layer microclimate prediction in solar greenhouse.

Precise microclimate control across vertical canopy layers is critical for optimizing crop productio...

Apr 2026 42020720
Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study.

BACKGROUND: Current machine learning (ML) prediction models offer limited guidance for individualize...

Apr 2026 42012584
Predicting Postoperative Cognitive Dysfunction in Older Cardiac Surgery Patients: An Integrated Machine Learning Approach With a Visual Nomogram.

OBJECTIVES: To integrate machine learning algorithms to identify key risk factors for postoperative ...

Apr 2026 42140838
Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.

Microscopic traffic simulation plays a crucial role in the development and testing of autonomous dri...

Apr 2026 41996737
Early detection of heart failure using trend similarity metrics combined with hybrid deep learning based on real-world health monitoring data.

Heart failure (HF) is a global health crisis, with over 18 million annual deaths attributed to cardi...

Apr 2026 41980729
Predicting Postoperative Outcomes in Pediatric Ureteroscopy Using Machine Learning and Explainable AI-EAU Endourology Vision-AI Study.

AIM OF THE STUDY: This study aimed to evaluate the performance of machine learning (ML) algorithms i...

Apr 2026 41981823
Performance of Machine Learning Models for Sepsis and Stroke Detection Using EMS Data.

OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage,...

(2)
Apr 2026 41973937
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