Latest AI and machine learning research in product alert for healthcare professionals.
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder where early diagnosis serves as the only viable window for effective intervention. While Structural MRI (sMRI) is a primary clinical tool for this purpose, manual diagnosis is heavily constrained by clinician expertise and the difficulty of visually quantifying subtle, diffuse anatomical changes. Deep learning has emerged as a ...
INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, nanotechnology-based drug delivery, and precision therapeutics, placing pharmacokinetics (PK) at the center of treatment optimization. Conventional PK approaches are limited by the complexity of skin biology, inter-individual variability, and heterogeneous real-world clinical settings. Artificial int...
INTRODUCTION: Thrombocytopenia has heterogeneous mechanisms, including peripheral destruction, consumption, and reduced marrow production. This study ...
Distinguishing active tuberculosis (ATB) from the post-therapy state remains a key challenge in disease monitoring, as host-response signatures are of...
BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...
Non-destructive testing (NDT) based on ultrasonics is widely used for internal defect detection. To enhance the efficiency of defect detection, Deep L...
BACKGROUND AND AIM: Pharmacovigilance is essential to ensuring patient safety by enabling timely identification of adverse reactions in increasingly c...
BACKGROUND: Adverse drug events (ADEs) pose significant public health challenges and economic burdens. While substantial ADE information is documented...
BACKGROUND: Patient safety investigation reports support organizational learning only when they are complete, usable, and sufficiently detailed. Conve...
The integration of artificial intelligence (AI) into athletic training is accelerating, yet its psychological implications for athletes remain insuffi...
BACKGROUND AND PURPOSE: Rib fracture is a recognized clinical complication in medically inoperable patients with non-small cell lung cancer (NSCLC) un...
BACKGROUND: Real-world glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapies face substantial attrition rates in commercial digital weight los...
UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...
OBJECTIVES: There is limited data demonstrating the benefit of artificial intelligence technology in the diagnosis and triage of pulmonary embolism. O...
BACKGROUND/OBJECTIVES: Stroke represents one of the main causes of permanent disability, with persistent upper limb motor deficits in 50% of patients;...
Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...
Postoperative acute kidney injury (PO-AKI) following noncardiac surgery remains a major clinical challenge, for which effective early warning models a...
Chronic post-surgical pain is a prevalent and debilitating complication following surgery, representing a clinical challenge. Despite the established ...
OBJECTIVES: To 1) improve pharmacy students' perceived confidence in communication skills and 2) identify perceptions of counseling a text-based AI-si...
AIM: This study aimed to create machine learning algorithms using the Australian & New Zealand Society of Cardiac & Thoracic Surgeons (ANZSCTS) Databa...