Latest AI and machine learning research in geriatrics for healthcare professionals.
Biological age describes how a person is aging on molecular, cellular, and physiological levels. At the present time, biological age is not something that can be fully quantified and aging itself is far too complicated to be captured by a single layer of information. As such, it is relegated to being an abstract and somewhat vague idea. In this sense, biological age is remarkably similar to health...
Cryptographic bionics, which seeks to emulate biological principles for secure information processing, remains largely unexplored at the hardware level. Here, we report an optically encrypted neuromorphic cryptosystem that utilizes an n-type organic optoelectrochemical synapse (n-OOECS), enabling brain-inspired encryption logic and adaptive information protection for end-to-end secure communicatio...
BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...
BACKGROUND: Mild cognitive impairment (MCI) represents a clinically critical and heterogeneous syndrome characterized by cognitive decline exceeding n...
BACKGROUND: Artificial Intelligence (AI) is rapidly transitioning from experimental research to daily medical practice, yet the medical community's un...
Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...
Small-molecule chemical probes are foundational to biomedical research as they enable interrogation of the function of individual proteins within biol...
BACKGROUND: Recurrence of atrial fibrillation (AF) following catheter ablation is a major clinical problem, and there is considerable variability in p...
Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are often evaluated by average accuracy, while confor...
BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases cardiovascular disease (CVD) risk, yet comprehensive a...
US healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias. Gene...
Clinical justification remains fundamental to the safe use of imaging involving ionising radiation, requiring a favourable balance between diagnostic ...
BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...
BACKGROUND: Artificial intelligence (AI) has the potential to improve health among older adults, yet how different stakeholders decide to develop, fin...
BACKGROUND: Artificial intelligence (AI) has revolutionized interventional pulmonology (IP) by enhancing diagnostic accuracy, procedural efficiency, a...
Synapses are the fundamental units of neural computation, yet quantifying their organization across circuit-level scales remains a critical bottleneck...
BACKGROUND: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large ...
Despite the great advances in video understanding with deep neural networks, current solutions still struggle with input videos that last for minutes,...
Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...