Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 46,401 to 46,410 of 224,055 articles

Model-Inversion-Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The growing use of neural networks in privacy-sensitive applications necessitates architectures that inherently protect both data and model integrity. We present a model-inversion-resistant physical unclonable neural network (PUNN) implemented on com... read more 

Physical Implementation of Optical Material-Based Neural Networks Processing Enabled by Long-Persistent Luminescence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Rapid advancements in artificial intelligence have magnified the inherent bottlenecks and energy inefficiencies of conventional von Neumann architecture. To address these limitations, processing information in a highly parallel, memory-integrated man... read more 

Helping people navigate and make sense of cancer information: challenges and perspectives.

Future oncology (London, England)
People living with cancer, and their caregivers and families, have access to many sources of health information. This brings both positives and challenges. Some information is not easy to understand and it can be difficult to know what is relevant to... read more 

Organic Optoelectronic Memristor Inspired by Insect Ultraviolet Vision for Attention Mechanism Simulation.

ACS applied materials & interfaces
The rapid evolution of modern technology is propelling artificial intelligence into a transformative phase, where visual information processing has become a central focus. The development of new artificial optoelectronic synapses integrating sensing ... read more 

How do AI ensemble pipelines treat disorder? A head-to-head comparison on α-synuclein.

Journal of biomolecular structure & dynamics
Intrinsically disordered proteins (IDPs) play central roles in signalling, regulation, and disease, yet they remain a severe challenge for current artificial intelligence models of protein structure. Most methods were trained on ordered, single struc... read more 

Attractor-Based Models for Sequences and Pattern Generation in Neural Circuits.

Neural computation
Neural circuits in the brain perform a variety of essential functions, including input classification, pattern completion, and the generation of rhythms and oscillations that support functions such as breathing and locomotion. There is also substanti... read more 

Reframing the Expected Free Energy: Four Formulations and a Unification.

Neural computation
Active inference is a process theory of perception, learning, and decision making that is applied to a range of research fields, including neuroscience, robotics, psychology, and machine learning. Active inference rests on an objective function calle... read more 

Neuromodulators Generate Multiple Context-Relevant Behaviors in Recurrent Neural Networks.

Neural computation
Neuromodulators are critical controllers of neural states, with dysfunctions linked to various neuropsychiatric disorders. Although many biological aspects of neuromodulation have been studied, the computational principles underlying how neuromodulat... read more 

Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization.

Neural computation
Object detection and recognition are fundamental functions that play a significant role in the success of species. Because the appearance of an object exhibits large variability, the brain has to group these different stimuli under the same object id... read more 

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
BACKGROUND: Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option in critically ill neonates and infants with acute kidney injury (AKI) requiring dialysis. In this population, we apply artificial intelligence (AI) to... read more