AI Medical Compendium

Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework.

Nano letters May 16, 2026

The global threat of antibiotic resistance necessitates intelligent design strategies for next-generation antibacterial nanomaterials. Herein, high-efficacy broad-spectrum antibacterial carbon dots (CDs) are demonstrated by the developed hierarchical... read more

Deep Learning-Assisted Elucidation of Structure-Performance Relationships in MOF-NH3 Adsorption Refrigeration Working Pairs.

Langmuir : the ACS journal of surfaces and colloids May 16, 2026

Adsorption refrigeration systems using MOFs-ammonia working pair can convert low-grade thermal energy into cooling capacity, thereby emerging as promising future carbon-neutral energy systems. However, the adsorption mechanism of MOFs under saturated... read more

Quality over quantity: biopsy-anchored CT radiogenomics models outperform all-lesion training in a multi-tumour cohort despite a smaller sample size.

European radiology May 16, 2026

OBJECTIVE: Radiogenomics aims to non-invasively predict tumour genotypes from imaging, but most studies assume molecular homogeneity by assigning a single biopsy-derived label to all lesions within a patient. This approach risks substantial label noi... read more

Robust deep learning for incomplete MRI sequences in glioma grading and IDH mutation status prediction: a large-scale multicenter study.

European radiology May 16, 2026

OBJECTIVES: Incomplete MRI sequences pose a significant challenge to the reliability of multiparametric MRI (mp-MRI) radiomics models. This study aimed to develop a robust and noninvasive approach for accurate glioma grading and isocitrate dehydrogen... read more

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA May 16, 2026

UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due to limited access to dual-energy X-ray absorptiometry (DXA) in many areas. Artificial intelligence (... read more

Integrative multi-omics analysis identifies a core ferroptosis signature and validates resveratrol as a novel inducer in pancreatic cancer.

Naunyn-Schmiedeberg's archives of pharmacology May 16, 2026

Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis due to treatment resistance and an immunosuppressive, fibrotic microenvironment. Ferroptosis, a novel form of regulated cell death, offers a promising therapeutic strategy. Transcriptomic... read more

Hidden Preoperative Lower-Extremity Venous Thrombosis in Pelvic Organ Prolapse Surgery: Prevalence and Development of a Clinical Prediction Model.

International urogynecology journal May 16, 2026

INTRODUCTION AND HYPOTHESIS: Preoperative lower-extremity venous thrombosis (LEVT) is frequently overlooked in women undergoing pelvic organ prolapse (POP) surgery, despite its potential impact on perioperative outcomes. Conventional risk tools, incl... read more

Aging beyond diagnosis: the MRI brain age gap across disorders.

GeroScience May 16, 2026

The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobiological aging, yet its transdiagnostic significance remains uncertain. This meta-analysis evaluated ... read more

From forensic medical databases to court-defensible artificial intelligence: the next translational step is standards, not scale.

Forensic science, medicine, and pathology May 16, 2026

Comparative study on the efficacy of large language models (LLMs) in health management for patients with urological and andrological diseases: a multidimensional quality evaluation and applicability analysis.

World journal of urology May 16, 2026

PURPOSE: This study aims to evaluate the efficacy of large language models (LLMs) in health management for urological and andrological conditions by comparing two Chinese LLMs: DeepSeek and Kimi. METHODS: The responses of DeepSeek and Kimi to 30 ques... read more

Artificial Intelligence Medical Compendium