AI Medical Compendium

HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 24, 2026

Marine Animal Segmentation (MAS) aims at identifying and segmenting marine animals from complex marine environments. Most of previous deep learning-based MAS methods struggle with the long-distance modeling issue. Recently, Segment Anything Model (SA... read more

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images.

IEEE journal of biomedical and health informatics Mar 24, 2026

Glaucoma is a leading cause of irreversible blindness globally. When glaucoma is diagnosed, Anterior Chamber Angle (ACA) evaluation is the necessary step for the prognosis and treatment of glaucoma. However, current clinical evaluation methods are la... read more

A Comprehensive Pipeline for Electric-Field-Guided Transcranial Magnetic Stimulation Targeting and Optimization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 24, 2026

OBJECTIVE: Transcranial magnetic stimulation (TMS), as a non-invasive means of neuromodulation, plays a crucial role in rehabilitation. Recent studies highlight that modeling the TMS-induced electric field (E-field) is essential to maximize the perso... read more

Protective holobiome promotes strawberry tolerance of biotic stresses.

Stress biology Mar 24, 2026

The commercial cultivation of strawberry (Fragaria × ananassa) is increasingly challenged by biotic stresses such as plant pathogens and insect pests, while climate change exacerbates abiotic stresses. Reliance on chemical fumigants and broad-spectru... read more

PNET-PRISM: a multicenter-validated radiomics nomogram for noninvasive grading of pancreatic neuroendocrine tumors.

Insights into imaging Mar 24, 2026

BACKGROUND: Accurate preoperative grading of pancreatic neuroendocrine tumors (PNETs) is essential for optimal treatment selection, yet endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) yields inadequate tissue in up to 40% of cases and c... read more

Partially linear Cox model with neural networks for left-truncated data.

Lifetime data analysis Mar 24, 2026

In the past few decades, artificial neural networks (ANNs) have exhibited their superior capabilities for capturing nonlinear data patterns in supervised learning. Inspired by such desirable advantages, we herein explore the integration of ANNs with ... read more

Nonparametric estimation of conditional survival function with time-varying covariates using DeepONet.

Lifetime data analysis Mar 24, 2026

Traditional survival models often rely on restrictive assumptions such as proportional hazards or instantaneous effects of time-varying covariates on the hazard function, which limit their applicability in real-world settings. We consider the nonpara... read more

Relationship of Behavioral Activation to Time-Varying Sub-Network Coherence in Attention and Reward Neural Networks.

Brain topography Mar 24, 2026

Behavioral drive, or activation, which includes cognitive effort and motivation is critical for accomplishing day-to-day tasks. Yet the brain network dynamics supporting behavioral drive are incompletely understood. Here, we investigate intra-network... read more

Building and Validating an Explainable Machine Learning Model for Predicting Health-Promoting Behaviors in Older Adults: A Multicenter Study.

Prevention science : the official journal of the Society for Prevention Research Mar 24, 2026

Enhancing health-promoting behaviors (HPBs) in older adults is crucial for chronic disease management and healthy aging in the context of population aging. Accurate assessment of individual HPB levels can facilitate the development of personalized in... read more

Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14).

Sleep & breathing = Schlaf & Atmung Mar 24, 2026

BACKGROUND: This study aimed to develop a shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM) that accurately predicts the total score across its four subscales using a machine learning-based approach to streamline the sub... read more

Artificial Intelligence Medical Compendium