Artificial Intelligence Medical Compendium

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

Showing 62,801 to 62,810 of 230,760 articles

Machine Learning for Predicting Malignant Transformation in Actinic Cheilitis: A Prognostic Support System Based on Demographic and Clinical Descriptors.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Jan 19, 2026
OBJECTIVE: This study aimed to develop and evaluate Machine Learning models to predict the malignant transformation (MT) in patients with actinic cheilitis (AC). METHODS: Three hundred forty patients diagnosed with AC (322 in the no MT group, and 18 ... read more 

Model-agnostic linear-memory online learning in spiking neural networks.

Nature communications Jan 19, 2026
Spiking neural networks (SNNs) offer a promising paradigm for modeling brain dynamics and developing neuromorphic intelligence, yet an online learning system capable of training rich spiking dynamics over long horizons with low memory footprints has ... read more 

Predictive design of stretchable electrodes with strain-insensitive performance via robotics- and machine learning-integrated workflow.

Nature communications Jan 19, 2026
Innovations in wearable electronics and soft robotics hinge significantly on the development of stretchable electrodes. However, a persistent challenge lies in balancing high stretchability, functional performance, and strain insensitivity. Conventio... read more 

Physical neural networks using sharpness-aware training.

Nature communications Jan 19, 2026
Recent advances in AI are pushing the limits of traditional hardware, making physical neural networks (PNNs) a promising alternative. However, training PNNs remains challenging: in silico training suffers from model-reality mismatch, while in situ tr... read more 

Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks.

Nature communications Jan 19, 2026
Multi-exponential fitting has long been the standard approach for luminescence decay analysis, not because it is physically meaningful but because it offers empirical convenience. Rigorous nonlinear rate-equation models have existed for decades, yet ... read more 

Reconstruction of Extreme Sea Levels in coastal China using Multiple Deep Learning models.

Scientific data Jan 19, 2026
We present a 1970-2020 dataset of daily maximum coastal water levels reconstructed for 23 tide gauges along China's coast. The product combines storm-surge residuals predicted with an Informer-based deep learning workflow (benchmarked against LSTM, C... read more 

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India.

Scientific reports Jan 19, 2026
This study delineates Groundwater Potential Zones (GWPZs) in the Mahi River Basin (MRB), where increasing groundwater stress is driven by urbanization, intensive agriculture, and limited recharge. Ten predictive factors: geology, geomorphology, slope... read more 

A novel hybrid model for emotion detection in text through sequential and transformer-based approaches: LSTM enhanced RoBERTa (LER).

Scientific reports Jan 19, 2026
Text emotion detection is an essential task in Natural Language Processing (NLP), with applications in customer support automation, diagnosing mental health, and social media analysis. Yet, precise emotion detection is a difficult problem as human em... read more 
Humans Neural Networks, Computer Deep Learning Emotions Natural Language Processing Memory, Short-Term

Construction of intelligent evaluation model for physical education classroom in primary and secondary schools based on posture estimation and motion recognition.

Scientific reports Jan 19, 2026
In the evolving landscape of intelligent education systems, there is an urgent need to develop adaptive, transparent, and robust classroom analytics solutions that align with the priorities of human-centered artificial intelligence and multimodal int... read more 

The effect of air pollution and household environmental indicators on anemia status among under-five children in low-middle income countries: exploring potential machine learning applications on demographic and health surveys.

Scientific reports Jan 19, 2026
Exposure to air pollution has been associated with anemia in children, but little effort has been made in low- and middle-income countries (LMICs) in which the prevalence of anemia is persistently high. This study aimed to assess the effects of air p... read more 
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