Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 131 to 140 of 156,510 articles
A systematic review of machine learning approaches in cochlear implant outcomes.
NPJ digital medicine
Jul 5, 2025
Cochlear implants (CIs) have transformed the lives of over one million individuals with hearing impairment, including children as young as nine months. This systematic review critically examines the current literature on the application of machine le...
A large-scale dataset for training deep learning segmentation and tracking of extreme weather.
Scientific data
Jul 5, 2025
As Earth's climate continues to undergo changes, it is imperative to gain understanding of how high-impact, extreme weather events will change. Researchers are increasingly relying on data-driven, learning-based approaches for the detection and track...
MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework.
Neurological research
Jul 5, 2025
BACKGROUND: Multiple Sclerosis (MS) is a chronic neurological disorder affecting millions worldwide. Early detection is vital to prevent long-term disability. Magnetic Resonance Imaging (MRI) plays a crucial role in MS diagnosis, yet differentiating ...
Quantifying features from X-ray images to assess early stage knee osteoarthritis.
Medical & biological engineering & computing
Jul 5, 2025
Knee osteoarthritis (KOA) is a progressive degenerative joint disease and a leading cause of disability worldwide. Manual diagnosis of KOA from X-ray images is subjective and prone to inter- and intra-observer variability, making early detection chal...
Multi-kingdom microbiota analysis reveals bacteria-viral interplay in IBS with depression and anxiety.
NPJ biofilms and microbiomes
Jul 5, 2025
Irritable Bowel Syndrome (IBS) is a common gastrointestinal disorder frequently accompanied by psychological symptoms. Bacterial microbiota plays a critical role in mediating local and systemic immunity, and alterations in these microbial communities...
An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction.
Computers in biology and medicine
Jul 5, 2025
The identification of key features and reliable phenotype classification remains pivotal in cancer research, with direct implications for early diagnosis, prognosis, treatment optimization, and cost reduction in healthcare. This study introduces a hy...
Integrating artificial intelligence in healthcare: applications, challenges, and future directions.
Future science OA
Jul 4, 2025
Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnostics across various healthcare domains. This paper explores AI applications in cancer detection, dental medicine, brain tumor database management, and p...
Combination of machine learning and protein‑protein interaction network established one ATM‑DPP4‑TXN ferroptotic diagnostic model with experimental validation.
Molecular medicine reports
Jul 4, 2025
Ferroptosis and lethal sepsis are interlinked, although this association remains largely unknown to clinical panels. Sepsis is characterized by dysfunction of the inflammatory microenvironment. Most septic biomarkers lack independent validation, and ...
D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration.
BMC chemistry
Jul 4, 2025
The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium chloride has posed a significant challenge due to its complexity and the lack of environmentally sustainable quantification methods, with only a singl...
Decision trees for combining morphological traits and measurements of the skull for osteological sex estimation.
Journal of forensic sciences
Jul 4, 2025
Forensic anthropologists commonly estimate osteological sex using separate metric and morphological analyses, without integrating both data types into a single statistical model. Combining data types into one classification model has the potential to...
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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