Artificial Intelligence Medical Compendium

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

Showing 2,061 to 2,070 of 213,633 articles

Hallux valgus: Advances in weightbearing CT imaging and three-dimensional assessment of first ray deformity.

Skeletal radiology
Hallux valgus (HV) is a complex triplanar deformity of the first ray that has traditionally been evaluated using weightbearing radiographs. However, these two-dimensional techniques are limited in their ability to assess the rotational and multiplana... read more 

Integrative single-cell and spatial transcriptomics combined with machine learning to discover complement-associated biomarkers in temporal lobe epilepsy with hippocampal sclerosis.

Functional & integrative genomics
Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) poses significant challenges in therapeutic management. While studies have demonstrated seizure-induced alterations in peripheral immune molecules, the complement system, a central component ... read more 

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students.

BMC nursing
BACKGROUND: Academic success among nursing students is vital for developing the professional skills necessary to ensure the safety and quality of patient care. This study examines the relationship between learning approaches (Deep, Strategic, and Sur... read more 

A USP15/KRT17-associated 13-gene prognostic cluster and functional validation in EGFR-mutant lung adenocarcinoma.

Respiratory research
BACKGROUND: EGFR-mutant lung adenocarcinoma (LUAD) exhibits significant prognostic heterogeneity despite the efficacy of tyrosine kinase inhibitors. To uncover the transcriptomic markers of rapid disease progression, we integrated clinical and transc... read more 

Enhancing Emergency Medical Response Education through Generative AI-Powered Game-Based Learning: A Retrospective Comparative Study.

Prehospital and disaster medicine
OBJECTIVE: Traditional lecture-based learning (LBL) is often insufficient for cultivating the practical decision-making skills required in high-stakes environments like Emergency Medical Response (EMR). While game-based learning (GBL) offers an immer... read more 

Deep Model Families for EEG-Based Multi-Class Dementia Classification.

International journal of neural systems
Deep learning (DL) has shown considerable promise for EEG-based dementia assessment; however, rigorous cross-family comparisons under leakage-free and clinically meaningful evaluation protocols remain limited. To address this gap, we benchmarked twel... read more 

Are We Measuring What Matters? The Surrogate Trap in Endodontics.

International endodontic journal
Surrogate endpoints have been important to the advancement of endodontic research, enabling the evaluation of treatments, materials and techniques within practical timeframes. However, these measures assess indirect biological or technical processes ... read more 

Tail wagging cats: Veterinary implications of AI-generated video.

The Veterinary record
BACKGROUND: Generative artificial intelligence (genAI) has the capacity to create realistic and convincing animal videos; however, it must simplify and reduce behavioural variation to do so, possibly leading to misinformation. METHODS: We categorised... read more 

Towards nano-mechanical simulations of ceramics containing realistic defects via machine-learning potentials: the example of TiB2.

Nanoscale
Transition metal diboride (TMB2) ceramics combine high hardness with excellent thermal and chemical stability, making them attractive for protective coating applications. TMB2s commonly grow as largely off-stoichiometric-containing vacancies or other... read more 

Inter-patient multi-label ECG classification via low-rank adaptation fine-tuned large language models with dynamic graph convolutional network.

Physiological measurement
Objective.Electrocardiogram analysis is vital for cardiovascular diagnosis, yet traditional methods struggle with inter-patient variability and complex multi label correlations. Existing large language model (LLM) integrations often freeze internal p... read more