Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Showing 1135-1155 of 9,855 articles
Sparking the Interest of Girls in Computer Science via Chemical Experimentation and Robotics: The Qui-Bot HO Case Study.

We report a new learning approach in science and technology through the Qui-Bot HO project: a multid...

Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus.

BACKGROUND: Artificial intelligence (AI) methods and AI-enabled metrics hold tremendous potential to...

Optimization of Reservoir Flood Control Operation Based on Multialgorithm Deep Learning.

With the rapid development of China's social economy, it is the most important task for the water co...

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research...

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...

Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.

BACKGROUND: In the DESIRE study (Discharge aftEr Surgery usIng aRtificial intElligence), we have pre...

Robot-assisted liver resection: the real benefit so far.

BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and ...

Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model.

In order to effectively improve the efficiency of hospital public management, we designed a hospital...

Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans.

Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to g...

Efficacy of a Group Psychoeducation Treatment in Binge Eating Disorder: An Open-Label Study.

AIMS: To evaluate the effectiveness of a multidisciplinary group psychoeducation treatment (GPT) in ...

Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network.

BACKGROUND: Dynamic prediction of patient mortality risk in the ICU with time series data is limited...

Natural language processing of admission notes to predict severe maternal morbidity during the delivery encounter.

BACKGROUND: Severe maternal morbidity and mortality remain public health priorities in the United St...

Robot-assisted minimally invasive esophagectomy (RAMIE) with side-to-side semi-mechanical anastomosis: analysis of a learning curve.

Minimally invasive esophagectomy (MIE) reduces mortality and morbidity related to esophageal surgery...

Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions.

INTRODUCTION: Most hospital assessment systems are based on the study of objective statistical varia...

Preliminary Outcomes After Same Day Discharge Protocol for Robot-Assisted Partial Nephrectomy: A Single Centre Experience.

OBJECTIVE: To assess the feasibility and safety of same-day discharge (SDD) surgery after robot-assi...

Engaging children and young people on the potential role of artificial intelligence in medicine.

INTRODUCTION: There is increasing interest in Artificial Intelligence (AI) and its application to me...

A cost-aware framework for the development of AI models for healthcare applications.

Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads. Howeve...

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