Latest AI and machine learning research in clinical trials for healthcare professionals.
Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeutic efficacy, especially for local therapies and drug delivery applications that are already common in the clinic for ocular and cancer treatments. There remains a need for clearance-enabled organ-on-a-chips amenable to high throughput screening, espe...
AIM: This study aims to use routinely collected health data and trial emulation methodology to inform the design of a pragmatic randomized controlled trial (RCT) in people requiring multivessel coronary revascularization with severe symptomatic multivessel disease and high-risk characteristics, typically underrepresented in previous RCTs. METHODS: Hospital episode statistics (HES) linked to Office...
OBJECTIVE: To construct an efficacy prediction model for polycystic ovary syndrome with insulin resistance (PCOS-IR) treated with acupuncture and moxi...
BACKGROUND AND AIMS: Endoscopic variceal ligation (EVL) is associated with relatively high rebleeding rates in patients with large esophageal varices ...
IMPORTANCE: Urogynecology patients increasingly investigate their problems using technology-based resources, but there is a lack of evidence surroundi...
OBJECTIVES: We identified key predictors of the heterogeneity of treatment effects of transcranial direct current stimulation (tDCS) in individuals wi...
Agentic artificial intelligence systems featuring iterative reasoning, autonomous tool use, or multi-agent collaboration have been proposed as solutio...
Structural damage detection and health assessment are crucial for maintaining infrastructure safety and durability. This study presents a novel multi-...
Generalized Anxiety Disorder (GAD) is prevalent and often co-occurs with depression, contributing to significant disability and healthcare burden. Alt...
Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorten recovery, and improve cosmetic and functional ou...
OBJECTIVE: Clinical registries advance healthcare by tracking patient outcomes and intervention safety. Manually extracting information from clinical ...
OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprising videotaped outpatient visits, electronic health...
BACKGROUND: In medicine and medical education, women are disproportionately affected by gender bias. Artificial intelligence (AI) is increasingly bein...
Psychotherapies have been found effective in the treatment of most mental disorders. However, substantial improvements are still much needed, and many...
BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organized colorectal cancer (CRC) screening programs, in...
BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered b...
BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a range of burdens, leading to decreased quality of l...
BACKGROUND: Small bowel capsule endoscopy (SBCE) is central to Crohn's Disease (CD) care but limited by lengthy review and reader variability. We test...
Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the intervention's eff...
INTRODUCTION: Proton pump inhibitors (PPIs) are widely used to treat acid-related disorders; however, treatment response varies significantly due to C...