Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 233,540 articles

Artificial Intelligence: Medical and Legal Implications and Risk Mitigation Strategies for Plastic Surgeons.

Aesthetic surgery journal
As artificial intelligence (AI) has become widely accessible, physicians and patients increasingly turn to AI for personal and professional uses. Whether or not you use AI in your practice, other physicians use it in ways that affect you and your pat... read more 

Molecular Imaging Technologies in Analytical Chemistry: A Critical Review of Mass Spectrometry Imaging, Raman Imaging, Imaging Mass Cytometry, and Emerging Spatial Analytical Platforms.

Critical reviews in analytical chemistry
Molecular imaging technologies have transformed analytical chemistry by enabling molecular identification and spatial localization within intact biological specimens. Advances in mass spectrometry imaging (MSI), Raman imaging, imaging mass cytometry ... read more 

A Real-World Clinical Study on Computed Tomography Pulmonary Angiography-Based Artificial Intelligence-Driven Risk Stratification in Pulmonary Embolism.

Journal of thoracic imaging
PURPOSE: To evaluate the efficacy of a computed tomography pulmonary angiography (CTPA)-based artificial intelligence system for use in the clinical setting to stratify the risk of pulmonary embolism (PE). MATERIALS AND METHODS: This study enrolled 1... read more 

Harnessing Photoexcited-State Pathways in Boron Dipyrromethene for Phototheranostics and Photopolymerization.

ACS applied materials & interfaces
Boron dipyrromethene (BODIPY) dyes are widely recognized for their strong visible-light absorption, high fluorescence, and structural modularity. Beyond fluorescence, molecular engineering can redirect their photoexcited states toward distinct photoc... read more 

Deep Learning Outperforms Descriptor-Based Classification of Food Items Using Chromatography-Mass Spectrometry Data.

Rapid communications in mass spectrometry : RCM
RATIONALE: Food classification and adulteration detection are challenged by the complexity of chemical matrices. Traditional descriptor-based methods fail to capture interactions in chromatography-mass spectrometry (CMS) data. This study compares a c... read more 

From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.

Environmental monitoring and assessment
Persistent organic pollutants (POPs) remain a major environmental challenge because of their persistence, long-range transport, bioaccumulation, and resistance to degradation. Conventional monitoring and remediation systems provide reliable analytica... read more 

Machine learning models identify a distinct urinary metabolomic signature in children with non-systemic juvenile idiopathic arthritis.

Clinical and experimental rheumatology
OBJECTIVES: Despite advances in understanding the molecular mechanisms behind juvenile idiopathic arthritis (JIA), reliable non-invasive biomarkers for diagnosis and monitoring remain limited. Urinary metabolomics offers a promising approach to inves... read more 

From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.

Environmental monitoring and assessment
Persistent organic pollutants (POPs) remain a major environmental challenge because of their persistence, long-range transport, bioaccumulation, and resistance to degradation. Conventional monitoring and remediation systems provide reliable analytica... read more 

H2TiO3 ion-sieve modified pencil graphite electrode integrated with artificial neural network calibration for broad-range quantitative detection of lithium ions.

Analytical methods : advancing methods and applications
The widespread use of lithium (Li) has resulted in lithium-ion (Li+) contamination across a wide range of concentrations in the environment, posing potential risks to environmental safety and ecological health. However, the accurate and reliable quan... read more