Artificial Intelligence Medical Compendium

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

Showing 68,041 to 68,050 of 233,231 articles

DLS-SUC: A precision prediction framework for lysine succinylation sites integrating the protein language model (ESM-2) and dual imbalance strategies.

Computational biology and chemistry
Lysine succinylation (Ksucc), a negatively charged post-translational modification, plays a crucial role in regulating protein function, cellular signaling, and disease pathogenesis, including cancer, neurodegenerative disorders, and metabolic syndro... read more 

Accurate prediction of cross-species wood density by fusing terahertz time-domain spectroscopy and explainable machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
This study employed terahertz time-domain spectroscopy (THz-TDS) to acquire spectral signals of wood samples with different densities and extract their refractive indices. Wood density prediction models were developed using three machine learning alg... read more 

Artificial intelligence and academic publishing in psychiatry.

The Australian and New Zealand journal of psychiatry
read more 

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part II Male Athletes.

Journal of strength and conditioning research
McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, and Jordan, MJ. The influence of sport representation and attitudes toward strength training on neuromuscular performance profiles in university athletes: Part I-Male athletes. J Strengt... read more 

From Bytes to Bedside: Exploring the Impact of AI on Medicine and Education.

Clinical obstetrics and gynecology
The rapid evolution of generative artificial intelligence (AI) is poised to transform medicine and medical education. Large language models (LLMs) have begun to demonstrate capabilities in reasoning, diagnosis, documentation, and patient communicatio... read more 

Multifactor machine learning models for predicting urinary tract infections: a pilot study.

International urology and nephrology
PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone health, also regulates innate and adaptive immunity through receptors expressed on B cells, T cells, and antigen-presenting cells capable of synthesizin... read more 

Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.

International journal of clinical oncology
Endometrial cancer represents a major global health concern, with rising incidence particularly in developed countries despite declining mortality rates. This comprehensive review examines the evolution of endometrial cancer screening techniques, enc... read more 

A case-control study of volumetric segmentation of extraocular muscles from MRI images in thyroid eye disease.

European journal of ophthalmology
PurposeThis study aimed to develop a reproducible manual segmentation method using a computer-assisted technique and to (1) compare extraocular muscle volumes between TED patients and healthy controls and (2) assess the intra- and inter-observer reli... read more 

Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities.

Interdisciplinary sciences, computational life sciences
Burkholderia pseudomallei (BP) infections claims tens of thousands of lives worldwide every year. The bacterium's distinctive characteristics include antibiotic resistance, virulence and ability to survive in stressful environments. The B. pseudomall... read more 

Advanced Multi-Level Bidirectional Attention Network for Retinal Vessel Segmentation.

Interdisciplinary sciences, computational life sciences
Retinal vessel segmentation is crucial for clinical diagnosis due to the rich morphological information in retinal fundus images. Although neural networks perform well, issues like feature loss during encoding and insufficient context fusion in skip ... read more