Artificial Intelligence Medical Compendium

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

Showing 60,821 to 60,830 of 228,300 articles

Siamese networks in Raman spectroscopy: Towards a better performance against replicate variability.

Talanta
The power of Raman spectroscopy is largely enhanced by machine learning and chemometrics, which extract and translate the spectral features into high-level biological or clinical knowledge by constructing classical or deep learning models. The genera... read more 

CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration.

Neural networks : the official journal of the International Neural Network Society
Blind Face Restoration (BFR) has garnered considerable attention for its practical applicability to recover high-quality (HQ) facial images from their degraded versions. Existing BFR methods primarily incorporate diverse priors to mitigate its ill-po... read more 

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BMC nursing
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effec... read more 

Multi-Task Feedforward Neural Networks for Thermodynamic Property Prediction under Small Sample Sizes.

The journal of physical chemistry. A
Reliable explosion modeling requires accurate thermodynamic properties of hazardous chemicals, yet the scarcity of experimental data highlights the urgent need for predictive approaches to bridge this critical gap. In recent years, machine learning-a... read more 

Artificial Intelligence-Assisted Clinical Decision Model for Managing Retained Second Deciduous Molars With No Permanent Successors.

Orthodontics & craniofacial research
INTRODUCTION: The aim of this study was to develop and apply an artificial intelligence (AI) algorithm to aid the clinical decision-making process for managing mandibular retained second deciduous molars (SDM) with no permanent successors using machi... read more 

Multisequence MRI Enables High-Fidelity FDG-PET Synthesis for Epilepsy Using GANs.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: FDG-PET aids presurgical epilepsy evaluation but is limited by access and radiation exposure. PURPOSE: To evaluate synthetic FDG-PET generated from T1-weighted imaging and resting-state fMRI metrics. STUDY TYPE: Retrospective. POPULATION:... read more 

Biologically informed cortical models predict optogenetic perturbations.

eLife
A recurrent neural network fitted to large electrophysiological datasets may help us understand the chain of cortical information transmission. In particular, successful network reconstruction methods should enable a model to predict the response to ... read more 

Japan Brain Bank Net (JBBN).

Psychiatry and clinical neurosciences
Autopsies have long been performed to determine the cause of death in the medical field. In fact, autopsies have significantly contributed to our understanding of neurological and psychiatric disorders. Patients and their families who wish to donate ... read more 

Floral syndromes in Aquilegia (Ranunculaceae) are associated with nectar- but not pollen-collecting pollinators.

Annals of botany
BACKGROUND AND AIMS: Plant-pollinator interactions span a continuum from strict specialisation to generalisation and most flowers are visited by more than a single functional group of pollinators. However, one functional group might be more efficient... read more 

Cancer genome profiling in sarcomas: current status and future perspectives in Japan.

Expert review of anticancer therapy
INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis and effective therapy. Japan has implemented nationwide comprehensive cancer genomic profiling (CGP) since 2019, creating an integrated framework that... read more