Latest AI in Medicine Research | AI Medical Compendium

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Radiomic Features Extracted From Manual and Deep Learning-Based Segmentations: Comparison of Agreement, Bias, and Model Performance.

AJR. American journal of roentgenology Oct 14, 2026

Machine Learning for Programmable Nanosystems: From Liposome Formulation to DNA Origami and Hybrid Vesicles.

Small (Weinheim an der Bergstrasse, Germany) Oct 14, 2026

Liposomes are lipid-based nanocarriers widely used for the delivery of a broad range of therapeutic cargos. DNA nanostructures are emerging programmable platforms being explored for sensing, biomolecular engineering, and delivery applications. Howeve... read more

Multimodal Evidence for Large-scale Network Imbalance in Etomidate Use Disorder.

The international journal of neuropsychopharmacology Oct 14, 2026

BACKGROUND: Etomidate use disorder (EUD) is an escalating public health issue in East and Southeast Asia, yet its neuroimaging features remain poorly understood. This study used simultaneous electroencephalography (EEG) and functional near-infrared s... read more

A machine learning framework for precision dosing of daptomycin across diverse disease states.

Antimicrobial agents and chemotherapy Oct 14, 2026

The large pharmacokinetic variability of daptomycin across disease states poses a challenge for individualized dosing. Conventional population pharmacokinetic (PopPK) models are often limited to specific conditions, lacking generalizability. This stu... read more

Photophysical and quenching principles governing advanced materials for fluorescence-based biosensing: mechanisms and analytical performance.

Materials horizons Oct 14, 2026

Optical fluorescence biosensing has emerged as one of the most powerful strategies for ultrasensitive molecular detection, driven by rapid advances in fluorophore engineering, nanomaterial design, and signal-transduction architectures. At the core of... read more

Validation of generative artificial intelligence techniques for synthetic data generation in multiple sclerosis research: A comparison with real-world evidence from the Italian multiple sclerosis registry.

Multiple sclerosis (Houndmills, Basingstoke, England) Oct 14, 2026

BACKGROUND: The use of generative artificial intelligence to create synthetic data is an emerging strategy to enhance real-world evidence. OBJECTIVE: To assess the validity of artificial intelligence-generated synthetic data in replicating data colle... read more

From childhood to adulthood: an attempt to model long-term outcomes of ADHD using machine learning.

European child & adolescent psychiatry Oct 14, 2026

BACKGROUND: Childhood-onset attention-deficit/hyperactivity disorder (ADHD) persists in 28% to 58% of individuals, and is associated with adverse long-term outcomes, like additional psychiatric diagnoses and lower educational attainment. Knowing earl... read more

Response to: Beyond overall accuracy: does an artificial intelligence model detect the neonatal pneumothoraces that matter most? Reply to Sanmoto et al.

Pediatric radiology Oct 14, 2026

Comment on: "The use of generative artificial intelligence tools among individuals with cancer and their caregivers: a cross‑sectional study of awareness, attitudes, and experiences".

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Oct 14, 2026

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

Environmental monitoring and assessment Oct 14, 2026

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

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