AI Medical Compendium

Steering towards safe self-driving laboratories.

Nature reviews. Chemistry Aug 18, 2025

The past decade has witnessed remarkable advancements in autonomous systems, such as automobiles that are evolving from traditional vehicles to ones capable of navigating complex environments without human intervention. Similarly, the rise of self-dr... read more

Data-Driven Studies of van der Waals Magnetic Heterostructures.

ACS applied materials & interfaces Aug 18, 2025

Magnetic van der Waals (vdW) materials have the potential to revolutionize the semiconductor industry due to their various exotic physical properties. Herein, we use a data-driven framework to investigate magnetic vdW heterostructures of the form AAB... read more

The Ability of AI Therapy Bots to Set Limits With Distressed Adolescents: Simulation-Based Comparison Study.

JMIR mental health Aug 18, 2025

BACKGROUND: Recent developments in generative artificial intelligence (AI) have introduced the general public to powerful, easily accessible tools, such as ChatGPT and Gemini, for a rapidly expanding range of uses. Among those uses are specialized ch... read more

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

IEEE transactions on bio-medical engineering Aug 18, 2025

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings that disrupt sleep continuity and contribute to daytime fatigue. read more

Craniocaudal Mammograms Generation using Image-to-Image Translation Techniques.

IEEE journal of biomedical and health informatics Aug 18, 2025

Breast cancer is the leading cause of cancer death in women worldwide, emphasizing the need for prevention and early detection. Mammography screening plays a crucial role in secondary prevention, but large datasets of referred mammograms from hospita... read more

Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Nature communications Aug 18, 2025

Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more

Research on the impact of artificial intelligence applications on agricultural green development.

Scientific reports Aug 18, 2025

A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agricultur... read more

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

The Lancet. Digital health Aug 18, 2025

BACKGROUND: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite inst... read more

Overview of Multimodal Radiomics and Deep Learning in the Prediction of Axillary Lymph Node Status in Breast Cancer.

Academic radiology Aug 18, 2025

Breast cancer is the most prevalent malignancy in women, with the status of axillary lymph nodes being a pivotal factor in treatment decision-making and prognostic evaluation. With the integration of deep learning algorithms, radiomics has become a t... read more

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics Aug 18, 2025

OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more

Humans Neural Networks, Computer Patient Safety Australia Risk Management Medical Errors

Artificial Intelligence Medical Compendium