Latest AI in Medicine Research | AI Medical Compendium

Attentional dual-stream interactive perception network for efficient infrared small aerial target detection.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2026

Drones and other flying objects can be regarded as small targets from a long-distance perspective. Considering the occlusion and interference caused by the external environment, the infrared detection methods are adopted to help identify and manage s... read more

Machine learning enables rapid assessment of potential cetacean health indicators.

The Science of the total environment Jan 8, 2026

Cetaceans are important ecosystem sentinels but face growing threats from major disease-related mortality events expected to intensify under climate change. Because both environmental factors and demographics influence health and disease risk, unders... read more

Machine learning models for predicting postoperative complications following mandibular third molar surgery: Development, validation, and explainable AI insights.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Jan 8, 2026

The surgical removal of impacted mandibular third molars is a routine procedure in oral and maxillofacial surgery but is consistently associated with significant postoperative morbidity. Traditional indices of surgical difficulty rely mainly on posit... read more

Governing the invisible: Deep-sea debris, lessons from space, and AI innovation for global commons governance.

Marine pollution bulletin Jan 8, 2026

This paper develops a dynamic theoretical model to address the governance of deep-sea debris as a global commons challenge. Drawing analogies from space debris management, the model integrates governance quality, enforcement capacity, and technologic... read more

Multiple paths to recovery after the Permian-Triassic mass extinction.

Current biology : CB Jan 8, 2026

The current biodiversity landscape results from hundreds of millions of years of evolution, yet the accumulation of biodiversity has been punctuated by mass extinctions. A key question is how surviving lineages rebuilt diversity after extinction even... read more

Sustainable bioenergy manufacturing in plants.

Plant communications Jan 8, 2026

Sustainable bioenergy is pivotal to the global transition from fossil fuels to a circular bioeconomy. However, conventional biomass conversion remains hindered by limitations in efficiency, cost, and versatility. This review examines how recent inter... read more

Interpretable machine learning-based prediction of liver metastasis risk in elderly patients with small cell lung Cancer: A study based on the SEER database and external validation in a Chinese cohort.

International journal of medical informatics Jan 8, 2026

PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of liver metastases, particularly among elderly patients, which significantly worsens survival outcomes. However, efficient predictive tools targeting this... read more

Cross-omics interpretable neural network for discovery of molecular markers in prostate cancer.

Computational biology and chemistry Jan 8, 2026

Determining molecular markers that mediate clinically aggressive phenotypes in prostate cancer is a significant challenge. While traditional linear models offer some interpretability, they often lack the precision needed for complex multi-omics data.... read more

Surface-enhanced Raman scattering (SERS) in antibiotic resistance detection: Advances, challenges, and future perspectives.

Colloids and surfaces. B, Biointerfaces Jan 8, 2026

Antimicrobial resistance (AMR) has emerged as one of the most critical global public health crises, causing an estimated 700,000 deaths annually according to the World Health Organization. Achieving early, rapid, and accurate detection and identifica... read more

RINet: synthetic data training for indirect estimation of clinical reference distributions.

Journal of biomedical informatics Jan 8, 2026

BACKGROUND: Indirect methods for estimating clinical reference intervals (RIs) use statistical analysis to identify non-pathological sub-distributions within large datasets acquired from routine clinical testing. This approach has the potential to ac... read more

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