Artificial Intelligence Medical Compendium

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

Showing 67,221 to 67,230 of 232,511 articles

[Artificial intelligence in diagnostics-a pathology perspective].

Pathologie (Heidelberg, Germany)
The increasing complexity and individualization of oncologic diagnostics and therapy present new challenges for pathology. At the same time, artificial intelligence (AI) is evolving from a futuristic concept into a core area of digital medicine. With... read more 

Algorithmic gaze and subject occlusion: a medical ethical critique of artificial intelligence diagnosis and treatment from a foucaultian perspective.

Medicine, health care, and philosophy
This paper develops a Foucauldian analysis of artificial intelligence (AI) in medical diagnosis, arguing that AI introduces an "algorithmic gaze" that reshapes the epistemic and moral structure of clinical practice. By converting illness narratives i... read more 

Discrimination of normal from slow-aging mice by plasma metabolomic and proteomic features.

GeroScience
Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine learning algorithm, XGBoost regression, to seek sets of plasma metabolites (n = 12,000) and peptides (n... read more 

Domain-general object recognition predicts human ability to tell real from AI-generated faces.

Journal of experimental psychology. General
Faces created by artificial intelligence (AI) are now considered indistinguishable from real faces. Still, humans vary in their ability to detect these faces-a skill so novel it would have been useless a few years ago. We show that some individuals a... read more 

Barcode-Based SlipChip for High-Multiplexed and Trace Sample Digital Quantification with Femtomolar Sensitivity.

ACS sensors
The development of the digital enzyme-linked immunosorbent assay (ELISA) has improved the detection of low-abundance protein biomarkers in biological samples, achieving a 1000-fold increase in sensitivity compared to conventional protein detection me... read more 

MATCH: client-therapist matching with machine learning.

Psychotherapy research : journal of the Society for Psychotherapy Research
OBJECTIVE: Therapist assignment can have a profound impact on the success of counseling. Accordingly, we present a framework that combines archival data and computer science algorithms to match clients to therapists so that client outcomes are, on av... read more 

Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.

European radiology
OBJECTIVES: White matter hyperintensities (WMH) represent neuroimaging markers of cerebral small vessel disease. We aimed to develop and validate a deep learning-based simultaneous, automatic WMH segmentation and classification model in patients with... read more 

A Scoping Review of Male Fertility Assessment and Treatment Across Historical and Contemporary Paradigms.

Andrology
BACKGROUND: Male factor infertility accounts for up to 50% of couples' inability to conceive. Despite this significant burden, perspectives on male fertility have evolved over millennia, shaped by cultural, medical, and scientific frameworks. Tracing... read more 

Evaluation of a Semi-Supervised AI Model (ASUS Blade) for Peripheral Blood Film Leukocyte Classification.

International journal of laboratory hematology
BACKGROUND: The peripheral blood film (PBF) analysis traditionally relies on manual microscopy (MM), a labour-intensive method with inter-observer variability. This study evaluates Blade (a semi-supervised AI model) and CellaVision DM9600 (commercial... read more