Artificial Intelligence Medical Compendium

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

Showing 60,171 to 60,180 of 228,072 articles

Establishment of threshold of human gut microbes and risk assessment system for colorectal cancer.

Computers in biology and medicine Jan 19, 2026
BACKGROUND: Being involved in the occurrence of colorectal cancer (CRC), gut microbes are potential targets for early diagnosis of CRC. Defining the threshold of these characteristic bacteria could provide a basis for the clinical application of micr... read more 

Multimodal diagnosis of Parkinson's disease with an internet-based collaborative agent architecture of medical language models.

Computers in biology and medicine Jan 19, 2026
Parkinson's disease (PD) remains one of the most prevalent neurodegenerative disorders, where delays in diagnosis compromise therapeutic outcomes and increase healthcare costs. Conventional unimodal approaches, based on voice, sensors, or imaging, fa... read more 

Generative AI in medicine: A thorough examination of applications, challenges, and future perspectives.

Computers in biology and medicine Jan 19, 2026
Generative AI, an artificial intelligence, significantly transforms the healthcare sector. Recent breakthroughs in Generative AI include the use of language models and leveraging modern pre-trained Transformer models such as ChatGPT, Bard, LLaMA, DAL... read more 

How human-perceived urban green spaces contribute to mental well-being: a machine learning approach.

Journal of environmental management Jan 19, 2026
Global urbanization has heightened attention to urban green spaces (UGS) and their role in supporting mental well-being (MWB). While macro-scale landscape ecology has guided the quantity and morphology of UGS, a human-perception perspective is still ... read more 

Individual identification of brown bears using pose-aware metric learning.

Current biology : CB Jan 19, 2026
Identifying individuals within a species is a cornerstone of ecological and biological research, holding the key to understanding behavior, population dynamics, and conservation needs. However, conventional identification methods such as genetic samp... read more 

Patient Perceptions of the Use of Artificial Intelligence in Radiology: A Scoping Review.

Academic radiology Jan 19, 2026
INTRODUCTION: Artificial intelligence (AI) is increasingly being used to support diagnostic accuracy and efficiency in radiology. While its technical potential is well recognized, little is known about how patients perceive these tools or whether the... 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
Popular Topics
Recent Journals