Hospital-Based Medicine

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

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Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease.

In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely on da...

[Robotic pancreatic surgery].

Robotic operations as a further development of conventional laparoscopic surgery have been introduce...

Deep learning prediction of hospital readmissions for asthma and COPD.

QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased dis...

Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, una...

State of the art: radiomics and radiomics-related artificial intelligence on the road to clinical translation.

Radiomics and artificial intelligence carry the promise of increased precision in oncologic imaging ...

Bloody Lips - Gluing Bleeding Lower Lip Spider Angioma in Decompensated Cirrhosis.

Spider angiomas are dilated vascular channels in the skin. They have a central arteriole with surrou...

Admission Total Leukocyte Count as a Predictor of Mortality in Cardiac Intensive Care Unit Patients.

BACKGROUND: Inflammation is a sequela of cardiovascular critical illness and a risk factor for morta...

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

Nurses, often considered the backbone of global health services, are disproportionately vulnerable t...

Advancements in Robotic-Assisted Spine Surgery.

Applications and workflows around spinal robotics have evolved since these systems were first introd...

Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.

BACKGROUND: Classification of perioperative risk is important for patient care, resource allocation,...

Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring.

Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant trai...

Unveiling the potential of artificial intelligence in orthopaedic surgery.

Artificial intelligence is paving the way in contemporary medical advances, with the potential to re...

[Use of AI-based applications by hospital staff: task profiles and qualification requirements].

BACKGROUND: Artificial intelligence (AI) is becoming increasingly important for the future developme...

Assessing Decision Regret in Patients with Same-Day Discharge Pathway After Robot-Assisted Radical Prostatectomy.

After the introduction of same-day discharge (SDD) pathways for various surgeries, these pathways h...

Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

OBJECTIVE: This study aims to develop high-performing Machine Learning and Deep Learning models in p...

Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.

Mortality rate is considered as the most important outcome measure for assessing the severity of bur...

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