Latest AI and machine learning research in devices and vaccines for healthcare professionals.
BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in patient knowledge regarding implant information, exacerbated by inadequate record-keeping and emerging safety concerns. OBJECTIVES: The authors of this study address the need for reliable implant identification methods by developing a deep learning model capable of classifying breast implants using...
Innovation in biomaterials has brought both breakthroughs and challenges in medicine, as implant materials have become increasingly multifunctional an...
Stress is a universal experience impacting mental and physical health. However, no precise, objective wearable tool exists for continuous, long-term s...
To construct an efficient predictive model for post-lung cancer resection delirium (POD) using artificial intelligence, with a focus on leveraging syn...
This paper introduces SENTINEL-DL-a novel forensic framework which leverages accelerometer sensory data to associate motion-based digital evidence to ...
In this work, the potential of the environmentally benign double halide perovskite Rb2SiX6 (X = F, Cl, Br, and I) as a solar cell absorber is investig...
BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR researc...
PURPOSE: Reflex bradyarrhythmias and syncope related to excessive vagal tone may be refractory to conservative therapy and significantly impair qualit...
Learning under uncertainty has become increasingly critical in data-intensive artificial intelligence applications, requiring computing systems that u...
INTRODUCTION: Sudden cardiac death (SCD) remains a major cause of mortality despite substantial progress in heart failure management and arrhythmia pr...
In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot applications to a structured and fully reimbursed co...
OBJECTIVES: To evaluate the clinical and radiographic outcomes of titanium-zirconium implants, identify risk factors and develop predictive models for...
AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire ...
BACKGROUND: Peri-implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models...
BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they have variable efficacy and adverse effects among pa...
Cerebral Palsy (CP), affecting approximately 1 in 500 children due to abnormal brain development, impacts movement control. Early risk assessment via ...
PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies tha...
This study reviews radiographic data segmentation as a cornerstone of machine learning (ML) and deep learning (DL) in dentistry. After outlining artif...