Artificial Intelligence Medical Compendium

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

Showing 21 to 30 of 234,208 articles

Kawasemi-Colours: an open end-to-end platform for structure-colour design based on avian structural colour

bioRxiv
Structural colour provides durable, pigment-free colouration by controlling the interaction of light with nanostructured materials rather than by using wavelength-selective pigments. In birds, non-iridescent blue and green plumage arises from coheren... read more 

Benchmarking Recording-Level Clinical Speech De-identification for Privacy-Preserving Clinical Audio

medRxiv
Transcript-based de-identification protects textual records but leaves sensitive health information (SHI) directly audible in source recordings, limiting trustworthy reuse of clinical audio. However, standardized evaluations of recording-level SHI de... read more 

Evaluation of Machine Learning Models for Predicting Breeding Values of Key Performance Traits in Iranian Crossbred (Thoroughbred × Turkmen) Racehorses.

Journal of equine veterinary science
BACKGROUND: Accurate prediction of breeding values (BVs) is fundamental to genetic improvement in racehorses. Although single-trait mixed models (STM), typically implemented using BLUP-based procedures, remain the standard framework for genetic evalu... read more 

Artificial intelligence personalization and brand equity: The mediating role of consumer identity signaling.

Acta psychologica
This study examines whether perceived artificial intelligence personalization (AIP) is associated with consumer-based brand equity (BE) and whether consumer identity signaling (CIS) accounts for part of that association in Pakistani e-commerce. Surve... read more 

Machine learning-based prediction of malignant transformation within 5 years in patients with oral leukoplakia: A retrospective cohort study.

Oral oncology
BACKGROUND: Oral leukoplakia (OLK), a potentially malignant oral disorder, has 7.2 - 9.8 % transformation rate. Identifying high-risk patients within 5 years can reduce the oral cancer burden. OBJECTIVE: In this retrospective study, we aimed to ident... read more 

Machine Learning and Post-Hoc Feature Attribution for Predicting Cardiac MRI Motion Artifacts: A Retrospective Cohort Study.

Journal of visualized experiments : JoVE
Anxiety-induced motion artifacts frequently compromise image quality during non-sedated cardiac magnetic resonance imaging (CMR), leading to rescans and increased healthcare burdens. This retrospective cohort study hypothesized that combining multidi... read more 

Toward early dyslexia screening through handwriting: A trustworthy XAI-enhanced deep learning framework.

Research in developmental disabilities
Dyslexia, a prevalent learning disorder, significantly impairs children's ability to process written language, often leading to challenges such as letter reversals, inconsistent spacing, and scrambled writing sequences. Early detection is critical fo... read more 

Blinded professional ratings of artificial intelligence-generated and dietitian-designed meal plans.

Nutrition (Burbank, Los Angeles County, Calif.)
OBJECTIVES: Artificial intelligence-assisted systems increasingly produce personalized meal plans, but their value depends on whether clinicians judge those plans credible and usable. We evaluated complete plans from a constrained artificial intellig... read more 

Participant Characteristics Associated With Loneliness Reduction During a Digital Social Robot Intervention Among Older Adults Living Alone in Japan: Secondary Analysis of a Randomized Controlled Trial.

Journal of medical Internet research
Among community-dwelling older adults living alone, less frequent preintervention social contact was associated with greater reductions in loneliness during a social robot intervention. Future trials should examine whether preintervention social cont... read more