Latest AI and machine learning research in pneumonia for healthcare professionals.
Falls remain a leading cause of injury-related morbidity and mortality among adults aged 65 and older, and these human and economic costs keep rising as populations age worldwide. Most existing risk assessment tools rely on periodic clinical evaluations or single-sensor wearable devices, neither of which tracks the dynamic, multifactorial nature of fall risk throughout daily life. In this paper we...
BACKGROUND: National surgical registries such as the American College of Surgeons NSQIP and Japan's National Clinical Database have shown that structured, risk-adjusted outcome monitoring improves surgical quality. However, no comparable nationwide registry has been reported in Korea. STUDY DESIGN: This interim analysis of the Korean Quality Improvement Platform in Surgery included 42,943 cases fr...
BACKGROUND: Mild cognitive impairment (MCI) is an important public health concern in ageing populations, yet scalable approaches for early identificat...
Accurate interpretation of chest X-rays is a critical clinical skill, yet radiology training in medical education remains limited and often fails to p...
Deep learning models applied to chest radiography have shown promise for cardiac phenotyping, yet concerns remain regarding demographic performance di...
Mycoplasma pneumoniae pneumonia (MPP) is a respiratory infection that readily propagates within pediatric populations, and thus, the development of a ...
As a low-dose portable imaging technology, chest X-ray (CXR) is widely used for the screening of lung diseases, including COVID-19. However, existing ...
OBJECTIVES: To benchmark medical image-specific vision-language models (VLMs) against real-world radiologist-written reports, focusing on diagnostic q...
Multi-site deep learning for chest radiographs runs into two problems that are usually treated separately: privacy regulations prevent hospitals from ...
BACKGROUND: Spirometry remains the gold standard for assessing pulmonary function. Deep learning models have demonstrated potential for estimating mea...
BACKGROUND: Mild cognitive impairment is widely recognized as a high-risk state associated with a progression to dementia. Although previous studies h...
Island coastal aquifers, though spatially limited, sustain key ecosystem functions linked to locally critical provisioning, maintenance and cultural e...
This study aimed to investigate the prevalence of screening-positive mild cognitive impairment (s-MCI) and to develop a parsimonious prediction model ...
Crises can produce contradictory responses in collectivistic cultures, yielding both solidarity and fragmentation. We propose these paradoxes can be u...
BACKGROUND: Research is needed to develop more accurate readmission prediction models that identify patients at the highest risk of readmission after ...
BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RES...
BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary disease, particularly in low- and middle-income countrie...
BACKGROUND: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but...
BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...
Defining a comprehensive signal repertoire is an important step to understanding a species' vocal communication system. Here, we investigated the voca...