Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Despite the success of deep learning models for the state-of-health estimation of lithium-ion batteries in battery management systems, their susceptibility to adversarial attacks raises concerns about security risks, leading to misdiagnosis and unnecessary maintenance. However, their practical robustness against adversarial perturbations remains largely underexplored, despite its importance for re...
Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. This study investigated LBP among 450 adolescent cricketers in Dhaka City, Bangladesh, considering a range of factors, including sociodemographic characteristics, game-related activities, preventive practices, and LBP-related history. Various ML algorithms applied to LBP severity classification includ...
AIM: To explore the perceptions of nursing professionals in high-demand healthcare services regarding the adoption of AI-based support systems for the...
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, emphasizing the ongoing need for effective and scalable ...
Biological neural networks (BNNs) promise low-power consumption and massive parallelism, offering a plausible route toward truly bio-derived intellige...
Medical journalism is undergoing rapid renewal in a digital environment that accelerates discovery, conversation, and scrutiny across borders. Its pur...
BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on public trust. This trust often depends on physicia...
The capacity to identify, adjust to, and interact with human emotions has become a crucial component of effective art communication in digital and int...
Abnormal glycolysis is one of the hallmarks of cancer and plays a significant role in its progression. This study investigates the association between...
BACKGROUND: Bangladesh has a noticeable rise in vector-borne diseases (VBD) attributed to climate change. Accurately mapping, predicting, and identify...
OBJECTIVES: Artificial intelligence (AI) systems are increasingly applied in public health, yet their use for analysing fragmented, multi-sectoral pol...
BACKGROUND: Translation of medical consultation summaries is essential for equitable health care communication in culturally and linguistically divers...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...
The rapid development of digital technologies is reshaping oral health research and care delivery. However, the translation of these innovations into ...
The cultivation of brinjal is seriously affected by various pathogens which affect crop yield and quality hence the importance of automated disease de...
The practical deployment of high-order nonlinear multi-agent systems (MASs) is often hindered by two critical bottlenecks: limited communication resou...
Medical biotechnology serves as a foundational platform for identifying disease markers and developing specific diagnostic assays. Complementing this,...
Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR), has emerged as a transformative technology i...
BACKGROUND: Military and peace-support operations increasingly depend on medical capability delivered under difficult circumstances: distance, limited...
The role of Medical Information in the pharmaceutical industry is undergoing a profound transformation, driven by evolving stakeholder expectations, d...