Artificial Intelligence Medical Compendium

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

Showing 30,761 to 30,770 of 220,177 articles

Magnetic resonance imaging-based radiomics of mesorectum for predicting extramural venous invasion in patients with rectal cancer: a bi-centric study.

Cancer imaging : the official publication of the International Cancer Imaging Society
OBJECTIVES: To develop and validate a magnetic resonance imaging (MRI)-based radiomics model of the mesorectum for predicting extramural venous invasion (EMVI) in patients with rectal cancer (RC). METHODS: A retrospective study included 238 patients ... read more 

ANNalog: generation of MedChem-similar molecules.

Journal of cheminformatics
Generative deep learning models have demonstrated significant potential in designing drug-like molecules. However, medicinal chemistry typically requires generating analogues that combine structural similarity with scaffold hopping, which is the repl... read more 

Where next for psychiatry: its past, present and future.

International review of psychiatry (Abingdon, England)
Humanity is entering a new phase of social evolution with rapid digitalisation and increasing use of artificial intelligence in our lives. Psychiatric conditions also evolve with social changes. Like other branches of medicine, the management of psyc... read more 

From Atoms to Fragments: A Coarse Representation for Efficient and Functional Protein Design.

Bioinformatics (Oxford, England)
MOTIVATION: Although deep learning has accelerated protein design, current protein representations such as sequences or full-atom structures scale non-linearly with protein length. We propose a sparse and interpretable representation for proteins, ba... read more 

Contrastive multimodal deep learning for survival prediction in grade 2/3 gliomas.

JNCI cancer spectrum
BACKGROUND: Accurate survival prediction for grade 2/3 glioma patients remains challenging due to tumor biological heterogeneity and limitations of current prognostic methods that rely on single-modality data. METHODS: We developed a multimodal deep ... read more 

Enhanced cortical connectivity during passive robotic-assisted gait training in individuals with spinal cord injury: An EEG study.

Gait & posture
BACKGROUND: Robotic-assisted gait training (RAGT) has emerged as a promising strategy to promote neuroplasticity and motor recovery in individuals with spinal cord injury (SCI). This study investigates cortical connectivity during passive robotic gai... read more 

Decoupling lactylation-associated metabolic remodelling in Asthma: Integrated multi-omics and machine learning identify RCC2 as a potential therapeutic target.

Computer methods and programs in biomedicine
BACKGROUND: Aerobic glycolysis promotes lactate accumulation and histone lactylation (Kla), yet the cell-type-specific distribution of this axis and its link to metabolically stratified intercellular signalling in asthma remain poorly defined. We aim... read more 

Construction and interpretability evaluation of a prediction model for radiographic pneumonia in children at outpatient and emergency departments.

International journal of medical informatics
BACKGROUND: Radiographic confirmation is crucial for pediatric pneumonia diagnosis, but chest X-ray overuse in outpatient and emergency settings raises concerns about unnecessary radiation and resource utilization. This study aimed to develop and val... read more