INTRODUCTION: Point-of-care transthoracic echocardiography performed by anaesthetists can influence peri-operative management but is constrained by time, the need for measurements and advanced skill requirements. Artificial intelligence-driven analys... read more
The International journal of artificial organs
May 5, 2026
When renal function is lost following resection of renal tumors, in the setting of end-stage kidney disease, or after traumatic nephrectomy, kidney transplantation is typically required; however, owing to constraints in healthcare resources, only a m... read more
Two vaccines are currently licensed against Plasmodium falciparum malaria but offer only partial protection that wanes, necessitating repeated dosing that is challenging to implement where it is needed most. We previously identified a subset of Kenya... read more
Probabilistic neural networks are good at solving complex optimization tasks, but require stochastic, energy-efficient probabilistic bit (p-bit) neurons and reliable artificial synapses. Here we show stochastic ferroelectric tunnel junctions (s-FTJs)... read more
Diabetes is associated with progressive microvascular remodelling, commonly assessed using retinal imaging, yet alternative non-invasive vascular biomarkers remain underexplored. Conjunctival vessels are directly visible and may reflect systemic micr... read more
The design and optimization of advanced semiconductor devices, such as multi gate MOSFETs, play a critical role in the miniaturization process of integrated circuits and the advancement of modern electronics. As device geometries shrink into the sub ... read more
This study explores the use of AI-driven machine learning algorithms for the early detection of fungal diseases in tomato plants, a method that enhances diagnostic accuracy and enables more effective crop protection. The research was conducted in 202... read more
Machine learning (ML) based approaches for rainwater harvesting (RWH) site suitability mapping often face limited data for training ML models. This study investigates whether the knowledge learned from data-rich catchments can be effectively transfer... read more
Knee Osteoarthritis (KOA) is a common degenerative joint disease that impairs mobility and affects patients' quality of life. Although many studies have applied AI in diagnosing KOA with some successes, numerous challenges remain unresolved. Most cur... read more
Hydrogen vehicles are facing significant challenges, including safety risks in the event of leakage, high costs associated with physical testing, and fuel cell inefficiency under dynamic conditions; to address these concerns, we propose VR-H2Safe, a ... read more
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