Artificial Intelligence Medical Compendium

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

Showing 21,571 to 21,580 of 216,348 articles

Astaxanthin biomanufacturing under hierarchical constraints: Integrating synthetic biology and artificial intelligence for scalable production.

Biotechnology advances
Astaxanthin is a high-value ketocarotenoid of growing industrial importance; however, its scalable biomanufacturing is constrained by inherent biological complexity. Production performance is governed by hierarchical constraints, including molecular ... read more 

A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development.

International journal of pharmaceutics
Oral dosage form development still relies heavily on empirical trial-and-error, while the high prevalence of poorly soluble drug candidates increases the need for structured data support. To address this limitation, we constructed the Computational P... read more 

Mapping mosquito flight dynamics and directional responses: A scalable deep learning model for behavioural research.

Acta tropica
Mosquitoes are important vectors of pathogens that affect millions of people worldwide. Understanding their flight patterns and behaviours is crucial for developing novel control and surveillance tools. Mosquito flight track analysis using traditiona... read more 

Clinical and quality of life predictors in patients with schizophrenia with and without substance use disorder.

Progress in neuro-psychopharmacology & biological psychiatry
The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to its high prevalence and impact on prognosis and quality of life. However, evidence of its different... read more 

Opportunistic screening for osteoporosis using chest X-rays and deep learning: A systematic review and meta-analysis.

Bone
PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest radiographs (CXR) for detecting osteoporosis and assess their potential for clinical implementation. METHODS: A systematic review and meta-analysis was ... read more 

Confidence-Accuracy Alignment in Cardiology Knowledge: Comparing Medical-Specific and General-Purpose Large Language Models Using ACCSAP.

The American journal of cardiology
Large language models (LLMs) are increasingly integrated into healthcare, yet their clinical reliability depends not only on accuracy but also on confidence calibration. General-purpose models have demonstrated strong performance on medical knowledge... read more 

The Eighth Question of Artificial Intelligence in Interventional Radiology.

Journal of vascular and interventional radiology : JVIR
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Advanced intelligent drug-device combination systems: regulatory landscapes, technological foundations, and clinical translation.

Advanced drug delivery reviews
Drug-device combinations (DDCs) have evolved from simple drug-coated implants into sophisticated intelligent platforms capable of real-time sensing, adaptive drug delivery, and closed-loop therapeutic control. This transformation is driven by converg... read more 

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and machine learning to elucidate the potential mechanisms of PAEs in lung squamous cell carcinoma (LUSC). B... read more 

Managing multidrug resistant Gram-negative bacteraemia in immunocompromised hosts.

Current opinion in infectious diseases
PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particularly solid organ transplant (SOT) recipients and patients with haematological malignancy (HM) receiv... read more