AI Medical Compendium

National-scale mapping of time-dependent apparent degradation rates of tetracycline and sulfonamide antibiotics in Chinese cropland soils under a spring fertilization scenario.

Journal of hazardous materials Apr 29, 2026

Quantifying antibiotic degradation at large spatial scales is essential for assessing environmental persistence and exposure risks in agricultural soils. Here, we developed a machine learning-based framework to map time-dependent apparent degradation... read more

The evolving role of artificial intelligence in optimizing treatment and patient selection in diabetic macular edema.

Indian journal of ophthalmology Apr 29, 2026

Anti-vascular endothelial growth factor (anti-VEGF) therapy is the mainstay of management for diabetic macular edema (DME), but marked variability in response, high injection frequency, and cumulative treatment burden highlight the need for tools tha... read more

Anti-vascular endothelial growth factor therapy for posterior segment diseases: Progress, challenges, and the road ahead.

Indian journal of ophthalmology Apr 29, 2026

The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vascular diseases. Following the identification of VEGF as a central mediator of pathological angiogene... read more

Educational robotics and augmented reality for improving social skills of children with ADHD: A scoping review.

Acta psychologica Apr 29, 2026

Attention Deficit Hyperactivity Disorder (ADHD) is the most common childhood neurodevelopment disorder that is characterized by symptoms of inattention, distractibility, impulsivity, and hyperactivity. To support children with ADHD to overcome develo... read more

Unraveling the long-term dynamics of black carbon and co-emitted air pollutant sources over the East China Sea.

Marine pollution bulletin Apr 29, 2026

Black carbon (BC) and co-emitted atmospheric species critically affect air quality and climate, yet long-term, source-resolved data in coastal regions remain scarce. Here, we present a three-year (2020-2022) observational study of trace gases (CO, NO... read more

Artificial intelligence-driven donor-recipient gut microbiome matching for optimized fecal microbiota transplantation.

Cell reports Apr 29, 2026

Fecal microbiota transplantation (FMT) has emerged as a promising therapy for gastrointestinal diseases, yet its clinical efficacy remains individually variable. Here, we analyze multi-kingdom and functional profiles in pre- and post-FMT metagenomes ... read more

Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study.

JMIR AI Apr 29, 2026

BACKGROUND: The exponential growth of digital information has led to an unprecedented expansion in the volume of unstructured text data. Efficient classification of these data is critical for timely evidence synthesis and informed decision-making in ... read more

Impracticality of banning collection of data on ethnicity and race in artificial intelligence-enabled health care in France.

The Lancet. Digital health Apr 29, 2026

Artificial intelligence (AI) or machine learning (ML) are revolutionising health care, enhancing diagnostics and treatment through AI-enabled medical devices. However, the effectiveness of AI or ML models is hindered by substantial biases, particular... read more

Evaluating the interpretation of neck CT/MRI scans by ChatGPT-4V for detecting primary oropharyngeal squamous cell carcinoma: An exploratory study.

European annals of otorhinolaryngology, head and neck diseases Apr 29, 2026

OBJECTIVES: Early and accurate detection of head and neck squamous cell carcinoma and the subset of oropharyngeal squamous cell carcinoma (OPSCC) is essential for the therapy and the prognosis of patients. Computer tomography (CT) is the primary imag... read more

A safety-centric perspective on innovation and risk in the use of artificial intelligence in genomics.

Trends in genetics : TIG Apr 29, 2026

Adopting a safety-centric approach, this article explores how generative artificial intelligence (AI), and more specifically, foundation models for biological sequences, can exacerbate data quality issues, technical biases, and dual-use potential, pa... read more

Artificial Intelligence Medical Compendium