Latest AI and machine learning research in product alert for healthcare professionals.
RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate an artificial intelligence‑assisted liver ultrasound training system that combines the YOLOv11n object detection algorithm and the DeepSeek large language model for ultrasound education. MATERIALS AND METHODS: A parallel controlled study was performed with 20 students randomly assigned to either the traditional instruction group (n...
BACKGROUND: Non-invasive prediction of the efficacy of dupilumab on facial lesions in patients with atopic dermatitis (AD) was unresolved. OBJECTIVE: To explore reflectance confocal microscopy (RCM), a non-invasive method, for predicting dupilumab efficacy in treating facial AD lesions and to achieve effective prediction via deep learning. METHODS: 52 AD patients received dupilumab treatment betwe...
RATIONALE AND OBJECTIVES: Photon -Counting CT (PCCT) provides higher resolution, reduced dose, and valuable spectral data, but generates a large numbe...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
OBJECTIVE: To clarify how validation requirements should be specified for medical digital twins used in clinical decision support, particularly when s...
OBJECTIVE: Tailoring postoperative opioid recommendations to patient needs requires nuanced understanding of factors contributing to post-discharge op...
Purpose Clinical documentation is a critical competency in dental hygiene (DH) education, yet its administrative burden often detracts from patient ca...
BACKGROUND: Reliable prediction of upper-limb recovery after stroke can support rehabilitation planning, yet few prognostic models have been tested be...
BACKGROUND: Traumatic cervical spinal cord injury (TCSCI) often causes severe neurological dysfunction. Accurate prediction of functional recovery is ...
BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...
Supervised machine learning has been used to detect fine-scale behaviours from animal-borne accelerometers by dividing the continuous sequences of beh...
The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral inertia, undertreatment, and procedural waiting time...
ObjectiveTo explore factors associated with willingness to reuse rubber dam isolation after microscopic root canal treatment and develop an explorator...
BACKGROUND: This study assessed the real-world hepatotoxicity of third-generation aromatase inhibitors (AIs) for breast cancer using pharmacovigilance...
The Danjiangkou Reservoir is the drinking-water source of the South-to-North Water Diversion Middle Route and a national Class I drinking-water protec...
INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...
BACKGROUND: The rapid introduction of AI into clinical practice shifts how we must teach resident trainees so they may become ethical patient-facing c...
Extracting multiple adverse drug reaction (ADR) terms from unstructured narratives remains challenging, particularly under severe label imbalance that...
BACKGROUND: Postoperative nausea and vomiting are common complications after anesthesia. However, vomiting represents a clinically distinct and object...
PURPOSE: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain asse...