Hospital-Based Medicine

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

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Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study.

BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains...

Mar 2026 41875195
Artificial intelligence perceptions and career anxiety among health sciences students.

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant ch...

Mar 2026 41872241
Artificial Intelligence in hepatology: A position paper by the Italian Association for the Study of the Liver.

Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enha...

(1)
Mar 2026 41876274
The role of digital tools and artificial intelligence in supporting antimicrobial stewardship: Study protocol for a systematic review.

INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...

Mar 2026 41876275
Detecting early signs of patient deterioration at home using wearable sensors: a personalized anomaly detection approach.

In the rapidly emerging field of transferring healthcare from hospitals to patients' homes, it is es...

Mar 2026 41871459
Strengthening Pharmacovigilance in Latin America: Multidisciplinary Insights from Two ISoP Latin American Chapter Symposia.

Pharmacovigilance in Latin America has witnessed notable progress in recent years, marked by advance...

(1)
Mar 2026 41863709
Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam.

BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to...

Mar 2026 41864948
AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically condu...

Mar 2026 41862918
Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study.

BACKGROUND: Extracting accurate medication information from Thai hospital records presents challenge...

Mar 2026 41861368
Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity.

Early-stage infectious disease outbreaks impose acute pressure on hospital supply systems, particula...

Mar 2026 41857156
Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...

Mar 2026 41852204
Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...

Mar 2026 41855493
Evolution of artificial intelligence at Hospital Italiano de Buenos Aires: A retrospective review of experience and lessons learned.

BACKGROUND: Hospital Italiano de Buenos Aires (HIBA) has progressively integrated artificial intelli...

Mar 2026 41916095
Practical adaptability of a pre-hospital prognostic prediction model for patients following out-of-hospital cardiac arrest during the COVID-19 pandemic.

OBJECTIVES: The overwhelmed situation under the COVID-19 pandemic has worsened the quality of emerge...

(1)
Mar 2026 41850720
ChatGPT in liver transplantation: Current applications, limitations, and future directions.

Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage ...

(1)
Mar 2026 41607825
Machine Learning Predicts ICU In-Hospital Mortality in Ards Patients Aged 80 and Above: A Multinational Multicenter Retrospective Study.

BACKGROUND: The present study aims to develop and validate an interpretable machine learning (ML) mo...

Mar 2026 41949844
Representation learning for the prediction of length of stay in infants with congenital heart diseases undergoing cardiac surgery.

AIMS: Congenital heart disease is the most common birth defect and significantly impacts health, mor...

Mar 2026 41908987
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