Latest AI and machine learning research in fda general for healthcare professionals.
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applications spanning imaging, robotic assistance and early risk prediction. Children's unique legal status presents distinct ethical and legal concerns. The objective of this review was to outline key ethical and legal challenges from AI integration into paediatric surgery and propose practical strategies...
Banana (Musa spp.) is a primary climacteric fruit characterized by a rapid surge in ethylene production and respiration post-harvest. Accurate ripeness detection is critical for supply chain management, export logistics, and reducing global food waste, which accounts for nearly 30% of harvested bananas. Traditional methods-visual inspection and destructive chemical testing [e.g., Total Soluble Sol...
This narrative review maps the current landscape of artificial intelligence (AI) in paediatric and fetal neuroradiology, critically evaluating current...
BACKGROUND: The global prevalence of type 2 diabetes mellitus (T2DM) poses significant challenges due to its association with increased cardiovascular...
INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodeg...
Defect detection and characterization are among the primary objectives of ultrasonic non-destructive testing (NDT). However, due to ultrasonic attenua...
Resistance to third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) presents a significant clinical challenge for...
Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely decision-making in emergency radiology. However, ri...
PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...
Agriculture and global food security are critically dependent on accurate and timely identification of plant diseases and pests. Traditional approache...
The clinical adoption of artificial intelligence (AI) has focused on enabling automation, but conventional accuracy metrics fail to answer a key quest...
PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AIA) and EU Medical Device Regulation (MDR) for high...
P-glycoprotein (P-gp, MDR1/ABCB1) is a key efflux transporter that limits oral absorption and brain penetration and contributes to clinically relevant...
The operation of the Xiaolangdi Reservoir's intensive water-sediment regulation imposes a significant, pulsed anthropogenic disturbance on the downstr...
Accurate, early-stage staging of Alzheimer's disease (AD) is critical for therapeutic intervention but is hampered by data privacy regulations, multim...
OBJECTIVE: Develop technology to predict burn wound depth using a combination of FDA approved ultrasound modalities and interpretation of these images...
Drug discovery is a complex and resource-intensive process, making early prediction of approval outcomes critical for optimizing research investments....
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behi...
INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demonstrated potential in facilitating motor recovery a...