AI Medical Compendium

Exploring the sustainable packaging sector through European companies' LinkedIn profiles with unsupervised machine learning.

Journal of environmental management Jan 14, 2026

The rapidly increasing demand for goods and services has led to increased use of packaging for products. Production and consumption practices are critical for environmental preservation as they directly impact pollutants, emissions, and waste generat... read more

A combinatorial transcription factor screening platform for immune cell reprogramming.

Cell systems Jan 14, 2026

Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks. Here, we developed REPROcode, a combinatorial single-cell screening platform to identify TF combinatio... read more

Externally validated knowledge-based planning model for machine learning-assisted radiation therapy treatment of high-grade glioma.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Jan 14, 2026

We have trained and externally validated a knowledge-based planning model for radiation therapy planning in the setting of high-grade glioma. Model performance and utility in the context of clinical trial radiotherapy quality assurance (RTQA) are pre... read more

Deep-learning image reconstruction algorithms for CT: A task-based image quality assessment of four CT systems using a phantom.

Diagnostic and interventional imaging Jan 14, 2026

PURPOSE: The purpose of this study was to assess the performance of iterative reconstruction (IR) and deep-learning image reconstruction (DLR) algorithms developed by four CT vendors in terms of image quality. MATERIALS AND METHODS: Acquisitions were... read more

Pixel-level Radiomics and Deep Learning for Predicting Ki-67 Expression in Breast Cancer Based on Dual-modal Ultrasound Images.

Academic radiology Jan 14, 2026

RATIONALE AND OBJECTIVES: This study aimed to develop a deep learning model using a novel pixel-level radiomics approach based on two-dimensional (2D) and strain elastography (SE) ultrasound images to predict Ki-67 expression in breast cancer (BC). M... read more

Moving intentions from brains to machines.

Trends in cognitive sciences Jan 14, 2026

Brain-computer interface (BCI) research has achieved remarkable technical progress but remains limited in scope, typically relying on motor and visual cortex signals in limited patient populations. We propose a paradigm shift in BCI design rooted in ... read more

The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis.

JMIR AI Jan 14, 2026

BACKGROUND: Advances in artificial intelligence (AI) have revolutionized digital wellness by providing innovative solutions for health, social connectivity, and overall well-being. Despite these advancements, the older population often struggles with... read more

Adaptation of the Japanese Version of the 12-Item Attitudes Towards Artificial Intelligence Scale for Medical Trainees: Multicenter Development and Validation Study.

JMIR medical education Jan 14, 2026

BACKGROUND: In the current era of artificial intelligence (AI), use of AI has increased in both clinical practice and medical education. Nevertheless, it is probable that perspectives on the prospects and risks of AI vary among individuals. Given the... read more

[Dermatology : expansion of digital health or ehealth].

Revue medicale suisse Jan 14, 2026

Healthcare systems are adapting to digital transformation. For skin diseases, the main challenge lies in better structuring the sharing, storage, and processing of clinical and histological images. Innovation in teledermatology promotes secure platfo... read more

Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence.

Journal of diabetes research Jan 14, 2026

BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangerous condition that impairs vision in diabetics. Preventing visual loss requires early recognition of DR and prompt treatments. Artificial intelligence ... read more

Artificial Intelligence Medical Compendium