Latest AI and machine learning research in fda general for healthcare professionals.
OBJECTIVES: There is limited data demonstrating the benefit of artificial intelligence technology in the diagnosis and triage of pulmonary embolism. Our study aims to demonstrate improved time to diagnosis of pulmonary embolism and subsequently time to anticoagulation and intervention with the goal of reducing in-hospital mortality. We hypothesized that implementation of artificial intelligence-as...
INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently limited to injection. Involving patients and members of the public to understand their perspectives on this novel pharmaceutical form, distinct from both injections and traditional oral tablets, is essential for the clinical development, regulatory ap...
INTRODUCTION: Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of life and increased stroke risk and mortality. Clin...
A high-volume IV bag line with variable printing faced ongoing false rejects, prompting deployment of an AI-powered automated visual inspection (AVI) ...
Invasive candidiasis caused by Candida albicans is a critical-priority fungal disease associated with high mortality, and the increasing resistance to...
Covering: 1992 to 2025Natural products contribute to roughly half of FDA-approved small-molecule drugs, yet their discovery has remained surprisingly ...
BACKGROUND: Diffuse Gastric Cancer (DGC) is an aggressive subtype with a poor prognosis and a lack of specific biomarkers, representing a critical unm...
OBJECTIVE: To evaluate the diagnostic performance of FDA/CE-cleared AI systems for mammography screening and assess their roles across clinical workfl...
In recent years, complex and extreme fire environments have posed a severe threat to the safety of front-line firefighters, urgently requiring high-pe...
In the injection molding industry, the shift toward small-batch production has led to a greater variety of products and smaller batch sizes, necessita...
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer mortality despite widespread colonoscopy screening. Colonoscopy effectiveness, which ...
UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely ass...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
Plant responses to dynamic environmental conditions remain challenging to describe within a unified mechanistic framework. This is largely because met...
UNLABELLED: Paroxysmal kinesigenic dyskinesia is a rare neurological disorder characterized by brief, recurrent motor attacks that significantly impai...
Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of co...
Microalgal-bacteria consortium provide self-aeration through photosynthetic oxygen production, offering an energy-efficient strategy for wastewater tr...
Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), ass...
BACKGROUND: Large language models (LLMs) have recently demonstrated exceptional capabilities, offering the potential to streamline workflows and enhan...
Rare‑disease drug development is constrained by small and heterogeneous patient populations, limited natural‑history data, and the impracticality of l...