Artificial Intelligence Medical Compendium

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

Showing 40,051 to 40,060 of 223,737 articles

Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.

Science advances
The rapid progress of artificial intelligence (AI) and the internet of things (IoT) has driven growing demand for high-performance, skin-compatible vibration sensors capable of capturing subtle physiological and environmental signals. Low-dimensional... read more 

Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.

PloS one
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection and accurate diagnosis are crucial for adequate management. Electroencephalography (EEG) has evolve... read more 

Amplitude Versus Angle (AVA) feature restoration in prestack gathers via dictionary learning.

PloS one
With the expansion of oil and gas exploration into deep and complex reservoirs, the prestack amplitude versus angle (AVA) inversion technique faces challenges due to amplitude attenuation and phase distortion caused by formation absorption effects, w... read more 

Machine learning of factors for improving oyster hatchery production.

PloS one
Oyster aquaculture and restoration in the Chesapeake Bay are vital, yet hatcheries frequently struggle with inconsistent larval growth and sudden mass mortality events. Unpredictable disruptions in larval production cause large economic losses, repre... read more 

Population-Level Digital Stroke Surveillance: Building a Fair and Accurate ICD-10 Detection Model.

Cerebrovascular diseases (Basel, Switzerland)
Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for clinical care, quality assurance, and stroke research. Its ubiquity across healthcare systems makes it an attractive foundation for digital health too... read more 

Advances and Perspectives in Graphene-Based Quantum Dots Enabled Neuromorphic Devices.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
With the rapid rise in demand for artificial intelligence and brain-inspired computing, traditional von Neumann architecture is gradually approaching physical limitations in terms of computing power density, energy efficiency, and real-time performan... read more 

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

The Veterinary record
BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. METHODS: Electronic health records (EHRs) were collected from four farm animal veterinary practices in Wales (Febru... read more 

Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions.

Medicine
BACKGROUND: Acute appendicitis remains one of the most common surgical emergencies, yet its diagnosis continues to pose challenges due to overlapping clinical presentations and variable imaging findings. Artificial intelligence (AI) has recently emer... read more 

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Medicine
Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-risk, complex populations like postmenopausal women with chronic kidney disease remains limited. We sought to develop and interpret an explainable AI ... read more