Latest AI and machine learning research in clinical trials for healthcare professionals.
INTRODUCTION: Nemolizumab is a humanized monoclonal antibody that specifically inhibits the receptor for interleukin-31, the major pruritogen in atopic dermatitis (AD). While the patient profile associated with the early therapeutic response to nemolizumab in AD has been increasingly delineated, the characteristics of patients who benefit from long-term nemolizumab therapy remain unclear. This stu...
Currently, artificial intelligence (AI) is clinically relevant to mood and anxiety care, but the evidence base is uneven across use cases. This narrative review synthesizes recent literature most relevant to clinicians and investigators. Five themes dominate the current field: patient-facing adjunctive tools, failure modes and safety risks, clinician-facing decision support, passive sensing and me...
PURPOSE: Radiation necrosis (RN) is a challenging complication of cranial irradiation, often requiring corticosteroids for management. This study eval...
PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. Howe...
BACKGROUND: Eligibility criteria are essential to clinical trial design, guiding recruitment, and ensuring patient safety and scientific rigor. Howeve...
BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, ...
This study introduces a probabilistic framework for patient-specific quality assurance (PSQA) in volumetric modulated arc therapy (VMAT), using gamma ...
Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared d...
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history with visual information such as medical imagery and...
BACKGROUND: Colonoscopy is the gold standard for colorectal cancer screening; however, it is limited by a substantial adenoma miss rate. We aimed to p...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accur...
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target ...
BACKGROUND: Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are heterogeneous conditions with a ...
The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...
Glioblastoma is a highly aggressive primary brain tumor with near-universal recurrence despite maximal safe resection followed by standard chemoradiat...
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations of...
Microbes play a vital role in healthcare, clinical microbiology, biotechnology, and environmental health, making their accurate detection and classifi...
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...
Artificial intelligence (AI) systems are rapidly transforming the workplace, performing tasks once limited to human intelligence such as decision-maki...
BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood gluco...