Hospital-Based Medicine

medicX-KG: a knowledge graph for pharmacists' drug information needs.

The role of pharmacists is evolving from medicine dispensing to delivering comprehensive pharmaceutical services within multidisciplinary healthcare teams. Central to this shift is access to accurate, up-to-date medicinal product information supported by robust data integration. Leveraging artificial intelligence and semantic technologies, Knowledge Graphs (KGs) uncover hidden relationships and en...

Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges, and Future Directions.

BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presenting opportunities to improve clinical outcomes. In the context of palliative care, AI holds potential to enhance quality of life through improved symptom management, effective communication, and greater prognostic accuracy. For this review, AI refers to computational systems capable of learning, reaso...

Enhancing out-of-hospital cardiac arrest survival in China through the 5-minute social rescue circle implementation.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) survival in China remains critically low due to limited bystander cardiopulmonary resuscitation (CPR...

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next-Generation Intelligence.

Soft robotics, distinguished by intrinsic compliance, biomimetic adaptability, and safe human-environment interaction, has emerged as a transformative...

[Early warning scores: a rapid umbrella review].

BACKGROUND: Early warning scores (EWS) are used for monitoring and evaluating vital signs in hospitalized patients. With EWS, escalating measures for ...

From traditional medicine to modern medicine: the importance of TCM regulatory science (TCMRS) as an emerging discipline.

Traditional Chinese medicine (TCM) has become a standardized medical system through systematic development across global healthcare practices. However...

Advancing Design Strategy of PROTACs for Cancer Therapy.

Proteolysis targeting chimeras (PROTACs) have emerged as a groundbreaking class of anticancer therapeutics. These bifunctional molecules harness the e...

Child and Family Outcomes After PICU Admission: Creation of an Open Access Literature Database Using a Global Team of PICU Specialists Integrated With Machine Learning.

OBJECTIVES: As research examining child health outcomes after PICU admission grows, so does the need for the identification and synthesis of a large b...

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review.

BACKGROUND:  Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhan...

Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.

Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic life of dams, lakes and aqueducts, reservoir opera...

Machine learning-driven national analysis for predicting adverse outcomes in intramedullary spinal cord tumor surgery.

UNLABELLED: Spinal tumors represent 15% of all central nervous system malignancies, with intramedullary spinal cord tumors (IMSCTs) being rare. Predom...

[Current situation and development trends of minimally invasive surgical procedures in the treatment of pancreatic tumors].

With the rapid development of modern medical technology,minimally invasive surgical procedures are playing an increasingly important role in the field...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires up-to-date risk information to guide treatment dec...

Prognosis and prognostic factors for chronic fibrosing idiopathic interstitial pneumonias.

Progressive lung fibrosis is frequently observed in patients with idiopathic interstitial pneumonias (IIPs), especially in those with idiopathic pulmo...

Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescri...

Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables.

Subarachnoid hemorrhage (SAH) is a severe condition with high morbidity and long-term neurological consequences. Radiomics, by extracting quantitative...

Use of childhood adversity and mental health admission patterns to predict suicide in young people.

Dougall et al found that mental health admissions are a strong predictor of suicide risk in young people. The findings can improve machine learning mo...

PSO-SVM optimized dielectric barrier discharge plasma for energy-efficient degradation of sulfamethoxazole in wastewater.

Conventional treatment methods struggle to effectively eliminate sulfamethoxazole (SMX) from wastewater due to its persistent aromatic structure and s...

Harnessing predictive analytics to support high-risk learners in a one-year certification program in emergency medicine (CPEM) in Pakistan.

INTRODUCTION: Predictive analytics and Machine Learning (PAML) are gaining traction in health professions education (HPE). Their utilization includes,...

Sex, stature, and age estimation from skull using computed tomography images: Current status, challenges, and future perspectives.

The skull has long been recognized and utilized in forensic investigations, evolving from basic to complex analyses with modern technologies. Advances...