Hospital-Based Medicine

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

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SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction.

Predicting epileptic seizures presents a substantial difficulty in healthcare, with considerable imp...

The role of AI-enabled health systems in the Jordanian context: the case of digital contact tracing apps.

PURPOSE: Digital health or digital healthcare, is a broad, multidisciplinary concept that includes c...

Clinicians must participate in the development of multimodal AI.

Multimodal artificial intelligence (AI) is a powerful new technological advance, capable of simultan...

Cluster discharge resonance neuron model and its application in machinery multi-dimensional fault vibration signals.

Through the analysis of multidimensional vibration signals of machinery, existing faults in mechanic...

[Geriatric Assessment in the Hospital - An Overview of Clinical Guidelines].

According to forecasts, 27 % of the German population will be aged 65 or over by 2050. Age-associate...

Stratifying Risk for Postpartum Depression at Time of Hospital Discharge.

OBJECTIVE: Postpartum depression (PPD) is a major contributor to postpartum morbidity and mortality....

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...

Inter-hospital transferability of AI: A case study on phase recognition in cholecystectomy.

BACKGROUND: Identifying surgical phases is a crucial component of surgical workflow analysis, facili...

Driving Knowledge to Action: Building a Better Future With Artificial Intelligence-Enabled Multidisciplinary Oncology.

Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, re...

Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.

BACKGROUND: Personal protective equipment (PPE) is a first-line transmission-based precaution for re...

MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

Causal effect estimation of individual heterogeneity is a core issue in the field of causal inferenc...

Multi-Gate Mixture of Multi-View Graph Contrastive Learning on Electronic Health Record.

Electronic Health Record (EHR) is the digital form of patient visits that contains various medical d...

Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...

Opportunities and challenges in lung cancer care in the era of large language models and vision language models.

Lung cancer remains the leading cause of cancer-related deaths globally. Over the past decade, the d...

Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.

BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...

Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.

BACKGROUND: This study explored workflow pathways followed by patients seeking secondary healthcare ...

Exploring treatment effects and fluid resuscitation strategies in septic shock: a deep learning-based causal inference approach.

Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...

New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance.

Transitional care may play a vital role in the sustainability of Europe's future healthcare system, ...

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