AI Medical Compendium

MuSL: Multimodal deep learning for generalizable prediction of synthetic lethality from sequence, transcriptomic, and network data.

IEEE journal of biomedical and health informatics May 29, 2026

Synthetic lethality (SL) offers a promising paradigm for identifying selective anticancer targets. How ever, many computational SL prediction methods rely on handcrafted expression summaries or single data modalities, limiting their ability to captur... read more

PRAD++: Towards Robust Periapical Radiograph Analysis through Dataset and Model Advancements.

IEEE transactions on medical imaging May 29, 2026

With the growing application of deep learning (DL) in dental image analysis, numerous datasets and models have been proposed. Periapical radiographs (PR), as one of the most common imaging modalities in clinical dentistry, play a critical role in end... read more

Beyond Correlation: Causal Intervention for Multi-Label Medical Image Diagnosis.

IEEE transactions on medical imaging May 29, 2026

This paper addresses the challenge of multi-disease diagnosis by integrating causal reasoning into the diagnostic framework. In clinical practice, multiple conditions often co-occur, making multi-disease diagnosis more relevant than isolated single-d... read more

HANeRV: Hierarchically Adaptive Neural Representation for Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 29, 2026

Recent advances in video compression introduce implicit neural representation (INR) based methods, which effectively capture global dependencies and characteristics of entire video sequences. Unlike traditional and deep learning based approaches, INR... read more

Local Semantics Refinement of Adaptive Representations for Robust Noisy Label Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 29, 2026

The success of deep learning models heavily depends on high-quality labeled data, yet noisy labels are inevitable in large-scale datasets. Existing methods often suffer from confirmation bias and overlook the informative value of hard but clean sampl... read more

MGA-CLIP: A Multigranularity Attribution Framework for Cross-Modal Explainability in CLIP.

IEEE transactions on neural networks and learning systems May 29, 2026

The contrastive language-image pretraining (CLIP) model has demonstrated remarkable performance in multimodal tasks, but the interpretability of its similarity-based cross-modal alignment mechanism has attracted considerable attention. However, exist... read more

Call for papers for the themed collection on transforming pharmacy practice with artificial intelligence-enabled solutions.

The International journal of pharmacy practice May 29, 2026

From Flexner to artificial intelligence: a century of transformation in global medical education.

Postgraduate medical journal May 29, 2026

BACKGROUND: Over the past century, medical education has undergone a profound transformation, evolving from unregulated apprenticeships into a highly structured, competency-based continuum of lifelong learning. This review delineates the centenary ch... read more

US Food and Drug Administration Shifts to AI-Enhanced Regulatory Review With Elsa 4.0 and HALO.

Journal of medical Internet research May 29, 2026

The US Food and Drug Administration recently announced the launch of Elsa 4.0 and Harmonized AI and Lifecycle Operations for Data (HALO)-an upgrade to its artificial intelligence platform. In this News and Perspectives article, JMIR Correspondent Tej... read more

Performance of Large Language Models on the Brazilian National Medical Education Examination: Comparative Benchmark Study.

JMIR medical education May 29, 2026

BACKGROUND: Large language models (LLMs) are rapidly incorporated into medical education and examination preparation; yet, most benchmarking evidence is derived from English-language material. Whether frontier commercial models and Brazilian Portugue... read more

Artificial Intelligence Medical Compendium