Artificial Intelligence Medical Compendium

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

Showing 58,341 to 58,350 of 227,634 articles

Anti-angiogenesis effect of Baiying Juhua Decoction on the non-small cell lung cancer: integrating pharmacology, multi-machine learning and experimental investigation.

Bioresources and bioprocessing
Baiying Juhua Decoction (BYJHD) is a well-established traditional Chinese herbal formula primarily composed of Solanum lyratum and chrysanthemum, which necessitates a thorough investigation to clarify its mechanisms in combating non-small cell lung c... read more 

Multimodal Rehabilitation for Advanced Cancer Pain: a Narrative Review of Emerging Nonpharmacological Strategies.

Current oncology reports
PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus on nonpharmacological intervention approaches, to offer comprehensive treatment strategies for canc... read more 

Biatrial cardioneuroablation guided by robotic magnetic navigation and artificial intelligence-based mapping in vagal bradyarrhythmias: A controlled observational study.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing
PURPOSE: Reflex bradyarrhythmias and syncope related to excessive vagal tone may be refractory to conservative therapy and significantly impair quality of life. Cardioneuroablation (CNA) has emerged as a device-sparing alternative, but real-world out... read more 

Automatic and accurate auxiliary detection of lung cancer pathological classification based on novel lightweight deep learning model.

Discover oncology
BACKGROUND: Lung cancer is one of the major cancers worldwide, and rapid, accurate diagnosis is crucial for subsequent treatment and management. Currently, pathological subtype detection requires clinical experts to invest significant time and effort... read more 

Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.

Discover oncology
Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements in early detection, therapeutic approaches, and care for survivors. The understanding of tumour heterogeneity has been greatly improved by the integr... read more 

Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions.

Brain informatics
Explainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC). This study empirically investigates the effects of ... read more 

Artificial neural network model development of blended biodiesel.

Environmental science and pollution research international
The need to find a more sustainable and environment friendly biofuel has driven a lot of experimental studies in past few decades. But, the cost of physical testing and resource constraint has limited the capability to find better and low emission fu... read more 

Interpersonal Coordination Deficits in Joint Action in Pre-school Children With Autism Spectrum Disorder: Evidence From fNIRS Hyper-Scanning and Machine Learning.

Journal of autism and developmental disorders
PURPOSE: Whether children with autism spectrum disorder (ASD) exhibit interpersonal coordination deficits remains controversy. The study employed functional near-infrared spectroscopy (fNIRS) hyperscanning technology to investigate the performance of... read more 

FlareDB: A Database of Significant Flares in Solar Cycles 24 and 25 with SDO/HMI and SDO/AIA Observations.

Scientific data
We present FlareDB, a database that provides comprehensive magnetic field information, ultraviolet/extreme ultraviolet (UV/EUV) emissions, and white light continuum images for solar active regions (ARs) associated with 151 significant flares from May... read more