Latest AI and machine learning research in clinical trials for healthcare professionals.
Despite the rational therapeutic premise of microRNA (miRNA) replacement or inhibition for cancer treatment, its clinical translation remains significantly constrained. Major challenges span from inherent molecular instability and off-target effects to substantial delivery hurdles. This persistent translational impasse continues despite continuous advancements in oligonucleotide chemistry and deli...
The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven conversational agents as potential supports for mental health care. In this exploratory pilot study, we examined the safety and feasibility of an intelligent virtual agent (IVA) designed to simulate psychotherapeutic interactions, with a focus on hi...
Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 perc...
OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications ...
BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for ...
Immunogenicity risk assessment is a critical step in the therapeutic development process of biologics. However, anti-drug antibodies continue to occur...
As generative artificial intelligence (GenAI) becomes increasingly integrated into educational contexts, learners' interactions with AI systems have e...
For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real world data (RWD) from multiple sources, including ind...
Postoperative drains are essential components of care in general surgery and intensive care units, where accurate monitoring of drain output is critic...
The deep integration of artificial intelligence (AI) into organizational settings has significantly transformed employees' work patterns, underscoring...
OBJECTIVE: To evaluate the efficacy of a structured guidance framework articulate, brainstorm and benchmark, critique and customize, and decide and di...
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of stroke, with high mortality and long-term disabili...
This study presents a scientometric and state-of-the-art review of smart personal protective equipment (PPE) and wearable safety technologies (WSTs) i...
BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternativ...
Artificial intelligence (AI) is rapidly evolving worldwide, enabling greater flexibility and applicability to the field of language translation within...
The widespread adoption of computed tomography has increased the detection of lung nodules. However, deep learning methods for classification of benig...
PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innov...
BACKGROUND: Technological advancements and widespread internet connectivity have fundamentally transformed data collection across academic disciplines...
BACKGROUND: Digital twins (DTs) offer a paradigm for health care by enabling data-driven, simulation-capable representations of individual health traj...
BACKGROUND: Oral medications are commonly used in the treatment of breast cancer (BC), despite high rates of nonadherence. As adherence is fundamental...