AI Medical Compendium

Large-Scale Histological Image Dataset with Metadata for Colorectal Cancer Microenvironment.

Scientific data Feb 12, 2026

The pronounced heterogeneity of the tumor microenvironment (TME) in colorectal cancer (CRC) presents major obstacles in accurately predicting patient outcomes and tailoring treatment responses. Deciphering this intricate microenvironment based on his... read more

Electrocatalysis Informatics Driven Design of Formic Acid-Producing Alloy Catalysts for CO2 Electroreduction.

Chemphyschem : a European journal of chemical physics and physical chemistry Feb 12, 2026

Machine learning (ML)-enabled high-throughput screening to predict potential electrocatalysts for the CO2 reduction reaction (CO2RR) offers new insights for energy conversion and environmental remediation. In this work, for the first time, we establi... read more

Large Language Model-Assisted Additive Selection for Synergistic Defect and Crystallization Control in Efficient Inverted Perovskite Solar Cells.

ChemSusChem Feb 12, 2026

Precursor additives are crucial for enhancing the efficiency and stability of perovskite solar cells. However, their traditional selection of additives primarily relies on empirical trial-and-error approaches, which are time-consuming and inefficient... read more

[Application of a novel robot-assisted navigation system in CT-guided percutaneous lung biopsy].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Feb 12, 2026

Objective: To compare the clinical efficacy and safety of robot-assisted navigation systems with those of the conventional puncture localization method in CT-guided percutaneous lung biopsy. Methods: We retrospectively collected clinical data from 14... read more

Is a conscious silicon brain achievable?

Neuroscience Feb 12, 2026

The biological mind is created by brain activity, and the mind's experiences and thoughts can change its structure and function. To construct a digital twin brain, it is possible to decode the unique activity of the human brain for each of the mental... read more

Effect of Brain-Computer Interface-Controlled Ankle Robot Training on Post-Stroke Motor Rehabilitation and Resting QEEG Neuroplasticity: A Randomized Controlled Trial.

Neurorehabilitation and neural repair Feb 12, 2026

BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilitation potential, but their efficacy and underlying neuroplasticity remain unclear. OBJECTIVE: To asse... read more

A linguistic comparison between human- and AI-generated content.

iScience Feb 12, 2026

This study explores the linguistic differences between AI-generated content and human-written texts, particularly in Portuguese. We created two datasets: one with factual and false human-written texts, and another with texts generated by advanced, la... read more

Evaluating the impact of artificial intelligence tools on the detection of chest injuries from medical imaging: A systematic review and meta-analysis.

The journal of trauma and acute care surgery Feb 12, 2026

BACKGROUND: There has been a growing interest in the clinical application of artificial intelligence (AI) tools in medical imaging to aid diagnosis. This study conducts a systematic review of existing literature and performs a meta-analysis to compar... read more

Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.

Current opinion in allergy and clinical immunology Feb 12, 2026

PURPOSE OF REVIEW: The advent of high-throughput data generation and artificial intelligence has transformed allergy research. Open-access database (OAD) and cohort-based database (CBD) provide essential resources for machine learning (ML)-driven alg... read more

Interpretable machine learning based on intratumoral and peritumoral ultrasound radiomics for predicting central lymph node metastasis in papillary thyroid carcinoma.

European journal of radiology Feb 12, 2026

OBJECTIVES: This retrospective and single-center study aimed to develop machine learning (ML) model integrating clinical features, ultrasound (US) features, and radiomics signatures extracted from both intratumoral and peritumoral regions to predict ... read more

Artificial Intelligence Medical Compendium