Artificial Intelligence Medical Compendium

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

Showing 68,141 to 68,150 of 233,231 articles

Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases.

Japanese journal of radiology
PURPOSE: Accurate identification of brain metastases is critical for determining prognosis and guiding treatment. Deep learning reconstruction (DLR) enhances MRI quality by reducing noise, while super-resolution DLR (SR-DLR) may further improve spati... read more 

Synthetic computed tomography from magnetic resonance imaging: An editorial on deep learning approaches for hip and knee image translation.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
This editorial provides a concise overview of synthetic computed tomography (CT) generation from magnetic resonance imaging (MRI) for musculoskeletal care, with a focus on hip and knee applications. We outline why interest in this area is growing, in... read more 

Explainable machine learning-driven predictive modelling of incident cognitive impairment in individuals with early-stage cardiovascular-kidney-metabolic syndrome: Insights from a longitudinal CHARLS cohort study.

Diabetes, obesity & metabolism
AIMS: While cardiovascular-kidney-metabolic (CKM) syndrome has been recognised as a continuum of interconnected metabolic, renal, and cardiovascular dysfunction, practical risk stratification tools for cognitive outcomes in the early, modifiable stag... read more 

Letter to the editor: Employment of autistic individuals in the age of AI integration: Challenges and opportunities.

Autism : the international journal of research and practice
As artificial intelligence (AI) reshapes the modern workplace, the implications for neurodivergent populations, particularly autistic adults, warrant attention. Autistic people remain underrepresented in the workforce, facing persistent barriers to s... read more 

The best from both disciplines: integrating human and microbial signatures from whole genome sequencing to advance cancer diagnostics.

mSystems
Liquid biopsies are transforming oncology, enabling earlier diagnosis, dynamic treatment guidance, and personalized precision medicine, yet current approaches focusing mainly on circulating host cell-free DNA (cfDNA) neglect crucial information withi... read more 

Physicochemically Informed Axial Chirality Descriptors Enable Accurate Prediction of Atropisomeric Stability.

Angewandte Chemie (International ed. in English)
Atropisomers play a vital role in asymmetric synthesis, drug discovery, and the development of functional materials. However, the rational design of atropisomers is challenging due to the difficulty in predicting their configurational stability, whic... read more 

Diagnostic accuracy of large language models in the classification of superior labial frenulum attachments.

Odontology
This study aimed to evaluate the diagnostic accuracy of multimodal large language models in classifying superior labial frenulum attachments from intraoral photographs using expert consensus as the reference standard. Five experts (two periodontists ... read more 

Can A.I. be a dolphin Doctor Dolittle?

Learning & behavior
Dolphin communication scientists have led the philosophical vanguard of animal translation research since John C. Lilly popularized the idea of human-dolphin communication in the 1960s, and that tradition continues today as multiple teams pursue brea... read more 

Unified NDMI for small intestinal cine MRI: repeatability and sensitivity to multicenter variability.

Abdominal radiology (New York)
PURPOSE: To establish a comparability-first cine-MRI paradigm for small intestinal motility using a unified, feature-agnostic normalized differential motion index (NDMI). On this foundation, we investigated scan-rescan consistency and sensitivity und... read more