Artificial Intelligence Medical Compendium

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

Showing 21,631 to 21,640 of 216,348 articles

Integrated geophysical, geological, and machine learning approach for structural characterization of the Balakot-Bagh fault zone associated with the 2005 Mw 7.6 Kashmir earthquake.

Scientific reports
Active fault reactivation poses significant hazards, and understanding their near-surface structure is crucial for mitigating seismic risk. Along the Balakot-Bagh fault (BBF), the source of the 2005 Mw 7.6 Kashmir earthquake, geomorphic evidence is g... read more 

An interpretable deep learning biomarker for prognostication and prediction of adjuvant chemotherapy benefit in gastric cancer.

NPJ precision oncology
Prognostic stratification in gastric cancer (GC) currently relies on the tumour-node-metastasis (TNM) staging system, which incompletely captures tumour heterogeneity. Routine haematoxylin and eosin (H&E)-stained whole-slide images (WSIs) contain add... read more 

Effective real-time self-rehabilitation exercise monitoring and correctness system for low back pain management.

Scientific reports
In the modern era of working, Musculoskeletal Disorders (MSDs) are increasing drastically. One of the leading causes of MSD is Low Back Pain (LBP). Patient health monitoring technology is paramount to the investigators, enabling remote recovery servi... read more 

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete.

Scientific reports
Geopolymer concrete has emerged as a promising sustainable alternative to ordinary Portland cement concrete due to its lower environmental impact and favorable engineering performance. However, accurately predicting its compressive strength remains c... read more 

[Development and pilot testing of the Lower Saxony drinking water incident register NITRIS to enhance situational awareness and provide a knowledge base].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
To protect critical infrastructure and improve situational awareness and knowledge of drinking-water incidents in Lower Saxony, the State Health Office (NLGA), commissioned by the Ministry of Social Affairs, Health and Equality, developed the Lower S... read more 

Advancements and challenges in blood pressure monitoring using pulse wave propagation: a comprehensive review and ISO 81060-2 based statistical analysis.

Hypertension research : official journal of the Japanese Society of Hypertension
Cardiovascular diseases, particularly hypertension, remain a major global health burden, highlighting the need for accurate and accessible blood pressure (BP) monitoring. Cuffless BP measurement (BPM) based on pulse wave propagation methods (PWPM), i... read more 

Intelligent optimization of micro-electrical discharge machining of aluminum nitride ceramics using nano abrasive zirconium oxide-enhanced biodegradable dielectric.

Scientific reports
This study explores the use of nano-enhanced Canola Oil Methyl Ester (COME) formulated with 0.5 wt% of zirconium oxide (ZrO2) nanoparticles as a biodegradable dielectric fluid in sustainable micro-electrical discharge machining (micro-EDM) of aluminu... read more 

FILM: mapping organellar metabolism by mid-infrared photothermal-modulated fluorescence.

Nature methods
Metabolism unfolds within specific organelles in eukaryotic cells. Lysosomes are highly metabolically active organelles, and their metabolic states dynamically influence signal transduction, cellular homeostasis and organismal physiopathology. Despit... read more 

RGB image-based drought stress classification of garden plants using SVM model.

Scientific reports
Climate change-induced drought increasingly constrains water management in mixed-species urban gardens, requiring scalable and non-destructive approaches. This study proposes an integrated framework combining chlorophyll fluorescence, RGB image indic... read more 

A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction.

Scientific reports
Medical image interpretation plays a critical role in lumbar fusion surgery, where accurate analysis of anatomical structures is essential for clinical assessment. However, most existing deep learning approaches rely primarily on visual features and ... read more