Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and low signal-to-noise ratios (SNR) significantly hinder automatic protocol and modulation recognition. Traditional signal processing approaches often fail under suc...
Surgical coaching has emerged as an innovative educational strategy designed to enhance both the technical and non-technical competencies of surgeons through structured, individualized feedback. As minimally invasive surgical techniques continue to proliferate, video-based coaching has proven effective for skill refinement. However, its broader implementation remains limited due to a shortage of e...
Breast cancer is the leading cancer threatening women's health. In recent years, deep neural networks have outperformed traditional methods in terms o...
Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes...
The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving most researchers for accomplishing their work, to th...
: This study explores the dynamics of substance use in Finland, employing Artificial Intelligence (AI) and Machine Learning techniques to identify key...
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result...
BACKGROUND: Urodynamics monitors various parameters while the urinary bladder fills and empties, to diagnose functional or anatomic disorders of the l...
AIMS: Science podcasts have proved to be valuable mediums for medical education and science dissemination. Tools adopting rapidly evolving technologie...
Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing causes symptoms such as neurogenic claudication, r...
BACKGROUND: Misdiagnosis is prevalent in clinical practice due to incomplete and sometimes inconsistent data, which generate errors in the traditional...
BackgroundPatients in palliative care often experience prolonged hospital stays, requiring detailed documentation, complex symptom management, and mul...
BackgroundLack of information is a critical challenge in occupational health. With over 180 million users, ChatGPT has become a prominent trend, swift...
BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related peptide monoclonal antibodies (CGRP mAb) for migrain...
In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxiety or apprehension, thus transparency and trust-bu...
Cervical cancer remains a leading cause of cancer-related death among women globally, despite the availability of effective prevention through human p...
Lung cancer is one of the most prevalent malignancies, characterized by high morbidity and mortality rates. Current diagnostic approaches primarily re...
Machine learning drives osteoporosis detection and screening with higher clinical accuracy and accessibility than traditional osteoporosis screening t...
BACKGROUND: Medical reports, particularly radiology findings, are often written for professional communication, making them difficult for patients to ...
OBJECTIVE: To explore how aspects of patient-centered communication (PCC) may directly or indirectly predict patients' preferences for artificial inte...