Artificial Intelligence Medical Compendium

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

Showing 28,371 to 28,380 of 219,260 articles

Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?

Infection control and hospital epidemiology
BACKGROUND: Early identification of patients with carbapenemase-producing Enterobacterales (CPE) colonization is crucial for infection control; however, microbiological testing may delay detection and be costly. Machine learning may enhance predictiv... read more 

CMOS-Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Bionic visual processing hardware serves as the core technology for mimicking the efficient information processing of biological vision systems and forms the foundation for perceiving and recognizing both static and dynamic scenes. However, most curr... read more 

Challenges and Barriers in Implementing AI for Clinical Applications in Anatomic Pathology.

Advances in anatomic pathology
The transformation of anatomic pathology from microscope-based practice to digital and computational workflows has created unprecedented opportunities for artificial intelligence (AI)-driven diagnostics. Whole slide imaging systems, digital cytology,... read more 

The Development and Validation of Models of Risk for Behaviours That Challenge in Children With Developmental Disabilities: A Novel Machine Learning Approach.

Journal of intellectual disability research : JIDR
BACKGROUND: Children with developmental disabilities show a high prevalence of behaviours that challenge (BtC). Thus, harnessing known risk markers to target early intervention to children at the greatest risk of BtC is essential. In this study, mach... read more 

A Comparative Assessment of Large Language Models in Congenital Hypothyroidism: Reliability, Quality and Readability.

Journal of clinical research in pediatric endocrinology
OBJECTIVE: To comparatively evaluate the reliability, quality, and readability of responses generated by widely used large language model (LLM)-based chatbots to congenital hypothyroidism (CH)-related patient questions. METHODS: Forty CH frequently a... read more 

Scientific Accuracy of Large Language Models in Tilted Implant Dentistry: A Guideline-Based Comparative Evaluation.

The Journal of craniofacial surgery
Tilted dental implant systems are widely used in the rehabilitation of anatomically compromised jaws and are supported by international consensus guidelines. Concurrently, large language models (LLMs) are increasingly accessed as informational tools ... read more 

Advancing nanomedicine with machine learning: predicting protein corona and nano-bio interactions.

Nanomedicine (London, England)
The protein corona (PC) has widely been demonstrated to impact the pharmacokinetics, safety, and efficiency of nanoparticle (NP) systems for clinical applications such as drug or vaccine delivery. However, a comprehensive understanding of PC formatio... read more 

Metasurface-Based Wavelength-Multiplexed Diffractive Neural Networks for Multilabel Intelligent Vision.

Nano letters
Diffractive neural networks (DNNs) offer an energy-efficient platform for optical artificial intelligence by exploiting the inherent parallelism of light propagation. However, most existing DNN architectures are limited to single-label recognition, r... read more 

Towards Artificial Intelligence Hardware With 3D Integrated Ferroelectric Transistors.

Small (Weinheim an der Bergstrasse, Germany)
The increasing energy and bandwidth demand of modern AI workloads highlight the need for hardware that mitigates the data-movement bottleneck of von Neumann architectures. Compute-in-memory and neuromorphic systems offer a compelling solution, yet re... read more 

Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Microbiology spectrum
Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative cultures can lead to inappropriate antimicrobial use or urosepsis in high-risk patients. Next-gener... read more