Lung cancer survival prediction remains one of the most challenging tasks in modern healthcare, as accurate and adaptive prediction models are essential for improving patient outcomes. However, the continuous inflow of new patient data in hospital en... read more
JMIR rehabilitation and assistive technologies
Mar 24, 2026
BACKGROUND: This study investigates the capacity of 7 artificial intelligence (AI) models, 5 free and 2 paid, to generate functional software for designing low-cost, personalized assistive products. OBJECTIVE: The objective was to determine which mod... read more
The Journal of bone and joint surgery. American volume
Mar 24, 2026
BACKGROUND: We aimed to develop automated data extraction pipelines with large language models (LLMs) to extract registry data from total hip arthroplasty (THA) operative notes and compare the performance with that of existing natural language proces... read more
The Journal of bone and joint surgery. American volume
Mar 24, 2026
➢ Computed tomography (CT) remains the gold standard for bone imaging, but radiation risks, especially in children, are driving interest in alternatives.➢ Magnetic resonance imaging (MRI)-based techniques are emerging as a radiation-free alternative ... read more
BACKGROUND: Medical ambient artificial intelligence (AI) scribes reduce documentation burden, but the current evidence is almost entirely from English systems. In the Arabic-speaking world, physicians converse mainly in Arabic and write clinical note... read more
INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic immune thrombocytopenia (ITP) by directly targeting impaired platelet production, a mechanism previously overshadowed by immune-mediated destruction. The... read more
BACKGROUND: The promise of artificial intelligence (AI) in medicine depends on its ability to learn from data that reflect what matters to patients and clinicians in the care process. Most existing models are trained on electronic health records (EHR... read more
European journal of preventive cardiology
Mar 24, 2026
AIMS: To derive unsupervised clinical phenotypes in patients with stable coronary artery disease (CAD) undergoing elective non-cardiac surgery and evaluate phenotype-stratified performance of the Revised Cardiac Risk Index (RCRI) and laboratory-augme... read more
OBJECTIVES: Accurate three-dimensional (3D) evaluation of the spatial relationship between the mandibular third molar (M3) and the mandibular canal (MC) is critical for assessing the risk of nerve injury during M3 extraction. The purpose of this stud... read more
Cardiotoxicity remains a critical concern in drug development, often leading to late-stage attrition of promising compounds. While traditional assessments focus on Kv11.1 channel inhibition, the Comprehensive in Vitro Proarrhythmic Assay (CiPA) initi... read more
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