AI Medical Compendium

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

The Journal of craniofacial surgery Apr 21, 2026

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

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

Journal of clinical research in pediatric endocrinology Apr 21, 2026

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

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 Apr 21, 2026

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

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

Advances in anatomic pathology Apr 21, 2026

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

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

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 21, 2026

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

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

Infection control and hospital epidemiology Apr 21, 2026

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

Generative artificial intelligence for surgical site infection surveillance.

Infection control and hospital epidemiology Apr 21, 2026

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generative artificial intelligence (GenAI) to augment the detection and classification of SSIs. METHODS: A c... read more

Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms.

eLife Apr 21, 2026

Classical psychedelics induce complex visual hallucinations in humans, generating percepts that are coherent at a low level, but which have surreal, dream-like qualities at a high level. While there are many hypotheses as to how classical psychedelic... read more

Machine Learning-Driven Optimization of Viscoelastic Microfluidic Particle Separation.

Analytical chemistry Apr 21, 2026

Viscoelastic microfluidics (VEM) offers superior biological particle isolation but is hindered by complex dynamics necessitating laborious empirical optimization. To address this challenge, we propose a machine learning (ML)-driven strategy for the r... read more

Machine Learning-Assisted Design Framework of Carbon Edge-Dominated Dual-Atom Catalysts for Urea Electrosynthesis.

ACS nano Apr 21, 2026

Direct electrosynthesis of urea is highly desirable but is severely hindered by intricate proton-coupled electron transfer networks and competing reduction side reactions. Herein, we present a closed-loop data-driven strategy integrating high-through... read more

Artificial Intelligence Medical Compendium