AI Medical Compendium

TCB-Kla: a hybrid deep learning model for predicting human lysine lactylation sites by incorporating transformer encoder and multi-scale CNN.

Journal of biomolecular structure & dynamics Mar 19, 2026

Lysine lactylation as a newly discovered post-translational modification of proteins, plays a key role in various cellular processes. It can be stimulated by lactate and regulates gene expression and life activities. Mass spectrometry is currently th... read more

Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial.

Journal of medical Internet research Mar 19, 2026

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adherence. Advances in artificial intelligence (AI), including voice cloning technology and large language ... read more

Public Engagement Strategies in Digital Health Ethics: Protocol for a Scoping Review.

JMIR research protocols Mar 19, 2026

BACKGROUND: The ethical, legal, and social issues accompanying the latest advancements in digital health technologies highlight the need to involve the public in their design, development, and deployment to align with societal values and needs. For p... read more

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 19, 2026

Exploring the dynamics of complex systems such as the human brain is challenging due to inherent uncertainties and the limited availability of high-quality data. Here, we develop a mathematical theory for noisy linear recurrent neural networks (lRNNs... read more

Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health.

Pharmacopsychiatry Mar 19, 2026

Artificial intelligence in mental health has emerged as a potent tool to foster precision psychiatry, for example, by stratifying patient populations. A potential step forward would be mental health digital twins-the independent in-silico reconstruct... read more

Interpretable Clinical-Radiomics Model for Prediction of Blood Stasis and Left Atrial Appendage Thrombus.

Thrombosis and haemostasis Mar 19, 2026

BACKGROUND: The left atrial (LA) morphological profile, anatomically contiguous with the left atrial appendage (LAA), exhibits hemodynamic properties associated with thrombogenic predisposition in nonvalvular atrial fibrillation (NVAF). Integrating t... read more

Hypoxia-related and immune phenotype-related fusion model for non-invasive prognostication of hepatocellular carcinoma treated by TACE: a multicentre study.

Gut Mar 19, 2026

BACKGROUND: Survival outcomes after transarterial chemoembolisation (TACE) vary in hepatocellular carcinoma (HCC) patients, and existing prognostic scores and imaging models often lack generalisability and biological interpretability. OBJECTIVE: To d... read more

Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children.

BMJ open Mar 19, 2026

OBJECTIVES: To review the application of prediction models and risk factors identified by prediction models for invasive fungal infection (IFI) in children, and assess model performance, methodological rigour and applicability. DESIGN: This is a syst... read more

Creativity as a core competency in medical education: the art of medicine.

Medical humanities Mar 19, 2026

As medical education increasingly prioritises standardisation and algorithmic decision-making, the qualities that define the 'art' of medicine-improvisation, narrative attunement and observational depth-are often marginalised as non-essential 'soft s... read more

A dorsal versus ventral network for understanding others in the developing brain.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 19, 2026

Young children strongly depend on others, and learning to understand their mental states (referred to as Theory of Mind, ToM) is a key challenge of early cognitive development. Traditionally, ToM is thought to emerge around the age of 4 years. Yet, i... read more

Artificial Intelligence Medical Compendium