AI Medical Compendium

Ensuring reliable digital pathology: a comparative analysis of HistoQC and PathProfiler for artefacts detection in prostate whole-slide images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 5, 2026

BACKGROUND: Whole-slide images (WSIs) offer high-resolution views of tissue but are often compromised by artefacts that hinder human and AI interpretation, potentially leading to diagnostic errors. Open-source tools like HistoQC and PathProfiler aim ... read more

Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course.

Journal of medical imaging and radiation sciences Feb 5, 2026

INTRODUCTION: Artificial intelligence (AI) is increasingly transforming radiography practice, creating a need for radiography students to develop foundational AI literacy. While it is acknowledged that AI is gaining momentum in radiography education ... read more

From sequence to structure: A comprehensive review of deep learning models for RNA structure prediction.

Current opinion in structural biology Feb 5, 2026

RNA structure prediction remains one of the most challenging problems in computational biology, with significant implications for understanding gene regulation, drug design, and synthetic biology. While deep learning has revolutionized protein struct... read more

IUPAC-induced computational approaches for identifying boosters of small biomolecule functionality: A case study of human tyrosyl-DNA phosphodiesterase 1 (TDP1) inhibitors.

Computers in biology and medicine Feb 5, 2026

This paper introduces several proof-of-concept (PoC) computational methods intended to offer biochemical researchers straightforward, time- and cost-effective strategies to accelerate their work. While Machine Learning (ML) models were developed, the... read more

A Multimodal Model for Caries Screening Using Intraoral Images and Questionnaires.

International dental journal Feb 5, 2026

INTRODUCTION AND AIMS: To develop a multimodal deep learning model for dental caries screening in children by integrating intraoral photographs and questionnaire-based data, and to compare its performance against that of a unimodal model utilising im... read more

Developing an Interpretable Machine Learning Framework to Predict and Analyse Early Childhood Caries in Children Aged 2 to 6 Years: A Single-centre Observational Study.

International dental journal Feb 5, 2026

BACKGROUND: Early childhood caries (ECC) is a prevalent global oral health condition, exerting profound adverse effects on children's oral health, general health, and quality of life. Its onset involves demographic, socioeconomic, behavioural, and cl... read more

Attitudes toward AI in health- and non-health-related contexts: Context matters, not mood or perceived social support.

Acta psychologica Feb 5, 2026

As artificial intelligence (AI) systems increasingly permeate healthcare and daily life, understanding the factors that shape attitudes toward their use is crucial. This study examined how individuals' general attitudes toward AI and their willingnes... read more

Friendship with human vs. AI peers: Enjoyment mediates college students' willingness to communicate in spoken English learning.

Acta psychologica Feb 5, 2026

As artificial intelligence (AI) becomes embedded in higher education, it is significant to test whether students form parasocial, friendship-like relationships with AI and how such ties shape emotional engagement and learning motivation. However, few... read more

Gellan gum/ artemisia sphaerocephala Krasch gum composite films integrated with machine learning for real-time freshness assessment.

International journal of biological macromolecules Feb 5, 2026

The widespread use of non-degradable plastic food packaging poses serious environmental and food safety concerns, motivating the development of biodegradable intelligent packaging systems capable of real-time freshness monitoring. In this study, a bi... read more

Stochasticity in cancer immunotherapy stems from rare but functionally critical Spark T cells.

Cell Feb 5, 2026

Cancer immunotherapies trigger highly variable responses in patients and in genetically identical mouse models. To assess the intrinsic stochasticity of these therapies, we performed thousands of well-controlled ex vivo immunoassays. We show that leu... read more

Artificial Intelligence Medical Compendium