AI Medical Compendium

Performance Analysis of Machine Learning Techniques for Voice Spoofing Detection.

Journal of voice : official journal of the Voice Foundation Jun 5, 2026

Voice-based authentication is widely used today but remains vulnerable to spoofing attacks like text-to-speech and voice conversion, threatening privacy and its authenticity. To mitigate such threats, various detection techniques ranging from convent... read more

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study.

The Lancet. Digital health Jun 5, 2026

BACKGROUND: The introduction of genomic profiling as a tool for molecular classification and clinical outcome prediction has revolutionised the care of patients with brain tumours. Artificial intelligence (AI) provides advanced avenues to convert com... read more

Hyperspectral Imaging for Breast-Conserving Surgery Margin Assessment: A Systematic Review.

Archives of pathology & laboratory medicine Jun 5, 2026

CONTEXT.—: Breast-conserving surgery (BCS) offers comparable overall survival rates to mastectomy. However, 14% to 37% of cases require re-excision owing to tumor-positive margins after BCS. Hyperspectral imaging (HSI) provides rapid, real-time, thor... read more

Hybrid learning: a combination of self-supervised and supervised learning for joint MRI reconstruction and denoising in low-field MRI.

Physics in medicine and biology Jun 5, 2026

Deep learning has demonstrated strong potential for MRI reconstruction. However, conventional supervised learning requires high-quality, high-SNR reference data for network training, which are often difficult or impossible to obtain, particularly in ... read more

Virtual photon-counting micro-CT platform for simulation of head and neck cancer imaging in mice.

Physics in medicine and biology Jun 5, 2026

OBJECTIVE: Our goal was to develop a simulation platform for photon-counting CT (PCCT) imaging in mouse models of head and neck squamous cell carcinoma (HNSCC). APPROACH: High-resolution vasculature from an energy-integrating detector micro-CT scan o... read more

Uncertainty-aware multi-path framework with dynamic arbitration for Alzheimer's disease MRI classification.

Journal of neural engineering Jun 5, 2026

As a progressive neurodegenerative disorder, Alzheimer's disease (AD) requires early and accurate diagnosis to delay pathological progression and improve clinical outcomes. Recently, Deeplearning methods based on structural MRI (sMRI) have been widel... read more

Robust multi-centre interictal EEG biomarker for distinguishing epilepsy from mimickers.

Journal of neural engineering Jun 5, 2026

OBJECTIVE: To develop and validate an interpretable multi-centre interictal EEG biomarker for distinguishing epilepsy from mimickers, addressing the critical gap of single-centre studies with limited sample sizes in prior literature. METHODS: We anal... read more

Unsupervised deep learning enables blur-free resolution enhancement in two-photon microscopy.

Cell reports methods Jun 5, 2026

Two-photon microscopy enables the non-invasive imaging of deep living tissue. Quantitative three-dimensional analysis is hampered by axial blur and anisotropic resolution in two-photon microscopy. We introduce the two-photon microscopy image enhancem... read more

Immune BioGraphy: A tale of graphical approaches in systems and virtual immunology.

Cell systems Jun 5, 2026

We discuss how graph-based machine learning (Graph ML) can guide discovery in the next era of systems immunology. The multi-scale complexity of the immune system makes it ideal for graph-based models, which can integrate disparate, high-resolution da... read more

Multimodal deep learning integration of clinical, dosiomics, and radiomics features to predict toxicity in breast cancer patients undergoing hypofractionated radiotherapy.

Computers in biology and medicine Jun 5, 2026

BACKGROUND AND PURPOSE: Radiation dermatitis (RD) and superficial soft tissue fibrosis are common toxicities among the patients with breast cancer receiving hypofractionated radiotherapy (HFRT). Early identification of high-risk patients could enable... read more

Artificial Intelligence Medical Compendium