Artificial Intelligence Medical Compendium

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

Showing 21,201 to 21,210 of 216,348 articles

Automated phenotyping of ophthalmologic diseases from routine medical records using small language models and the human phenotype ontology (HPO).

Scientific reports
Automated phenotyping in ophthalmology requires accurate standardization of clinical terms to facilitate interoperability and research. This study evaluates the suitability of the human phenotype ontology (HPO) for automated extraction of ophthalmic ... read more 

Research on a lightweight model for laser-cut diamond defect detection based on multi-module collaborative optimization.

Scientific reports
As a high-end abrasive material, diamond is prone to defects such as cracks and ablation during laser cutting due to complex physical interactions. Achieving efficient and accurate detection of laser-cut diamond defects is crucial for enhancing produ... read more 

Are Psychiatry Faculty Prepared to Guide AI Use? A National Survey.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry
OBJECTIVE: To assess psychiatry faculty knowledge, use, and perceptions of artificial intelligence (AI) in undergraduate medical education (UME) and graduate medical education (GME), and examine awareness of institutional AI policies. METHODS: A nati... read more 

A Deep Learning Framework for Spatiotemporal Modeling of Visual Task fMRI

bioRxiv
Characterizing the dynamic coordination of distributed brain regions during cognitive tasks remains challenging, as traditional fMRI analysis focuses on localized activations without revealing the underlying information flow that drives them. Here, w... read more 

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

bioRxiv
High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persistent discordance between mainstream platforms (SomaScan and Olink) routinely undermines the replication of findings. This platform-driven non-replicati... read more 

Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortem ex vivo MRI of the human infant brain

bioRxiv
High-resolution postmortem (ex vivo) magnetic resonance imaging enables detailed examination of brain anatomy at spatial scales not achievable in vivo and provides a unique opportunity to link morphometric measurements with the underlying pathology. ... read more 

Understanding the mechanisms of lateral parietalmemory modulation in Mild Cognitive Impairment

bioRxiv
The application of transcranial magnetic stimulation (TMS) to lateral parietal cortex has shown promise in improving episodic memory in older adults with Mild Cognitive Impairment (MCI). Previous work has suggested that such improvements are achieved... read more 

Validation of an AI-Powered Automated Colony Analysis Platform Across Eight ISO Microbiological Methods: A Multi-Pathogen, Multi-Matrix Performance Study

bioRxiv
Manual colony counting remains the rate-limiting, operator-dependent step in culture-based food microbiology quality control (QC). Automated colony analysis using machine learning (ML) offers the potential to standardise, accelerate, and improve the ... read more 

A shared neural code for gender across faces, bodies, and objects in the human brain

bioRxiv
Humans can readily infer gender from diverse visual categories, including faces, bodies, and objects, yet it remains unclear whether the brain constructs a shared, category-general representation of gender. To fill the gap, we measured neural respons... read more