Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Cancer remains a major health burden in Lithuania, emphasizing the importance of effective undergraduate oncology education. This paper describes the structure and key features of the integrated oncology curriculum at the Lithuanian University of Health Sciences (LSMU). Oncology teaching is embedded within a six-year medical programme, combining early exposure through biomedical sciences with focu...
BACKGROUND: Prior international studies indicate that 9-36% of people with cerebral palsy (CP) have a monogenic condition. However, the utility of whole genome sequencing (WGS) as a diagnostic tool for United Kingdom (UK) National Health Service (NHS) patients has not been evaluated. METHODS: This prospective pilot study recruited 86 individuals with CP from specialist clinics in Bedford, Cambridg...
PURPOSE: Medication errors frequently occur during transitional periods between outpatient and inpatient care. This study aims to evaluate the impact ...
Microplastic contamination in urban water systems poses emerging risks to human health, yet integrated frameworks linking sources, exposure pathways, ...
Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to d...
BACKGROUND: AI-powered chatbots offer new opportunities to enhance patient education; however, their integration may reshape patterns of information i...
OBJECTIVE: To design and validate a Spanish-language artificial intelligence-based application to support the diagnosis of primary headaches by non-ex...
Aim: We aimed to compare Quan and colleagues (2011) established weights for the Charlson Comorbidity Index (CCI) conditions to autism-specific weights...
As the numbers of older people (65 +) rise globally, the pressure on acute hospitals to provide efficient and effective care while addressing resource...
Rapid AI integration has introduced novel psychosocial stressors. Little is known about AI-specific clinical impacts in resource-limited settings. Thi...
BACKGROUND: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large ...
Emergency radiology operates in a high-acuity, time-sensitive environment where imaging is tightly integrated into real-time clinical decision-making....
A woman in her early 60s with acute Guillain-Barré syndrome (GBS) developed rapidly progressive tetraparesis and respiratory failure requiring non-inv...
PURPOSE: Artificial intelligence (AI) can support and enhance radiologists in musculoskeletal imaging, but evidence of clinical benefit is still lacki...
BACKGROUND: Congenital heart defects afflict ≈1% of all births worldwide. Although deep learning has shown significant promise in automating and impro...
BACKGROUND: The rapid emergence of artificial intelligence (AI) has outpaced its formal adoption in health care organizations, contributing to the eme...
BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...
BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with e...
Tigecycline (TGC) is widely used to treat severe multidrug-resistant infections but can cause drug-induced liver injury. Existing prediction studies f...
BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...