AI Medical Compendium

PDXNet: An eXplainable Hybrid Attention Convolutional Neural Network for Parkinson's Disease Monitoring and Evaluation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 26, 2026

Parkinson's disease (PD), the second most common neurodegenerative disorder, affects patients and caregivers worldwide. There is a growing need for technologies that use portable wearable sensors to monitor and assess patients using artificial intell... read more

M2PL-GAN: Multi-View Multi-Level Pathology Semantic Perception Learning for H&E-to-IHC Virtual Staining.

IEEE transactions on medical imaging Feb 26, 2026

Immunohistochemistry (IHC) staining is crucial for determining tumor subtypes, obtaining protein expression information, and developing personalized treatment plans. But compared with hematoxylin and eosin (H&E) staining, IHC staining is more complex... read more

CapsFormer: A Dual-Stream Causal-Aware Capsule-Transformer Network for EMG Signal Representation Learning.

IEEE journal of biomedical and health informatics Feb 26, 2026

Electromyography (EMG) signals are widely applied in prosthetic control, rehabilitation training, and human-machine interaction. This places stringent requirements on gesture recognition algorithms to balance long-range temporal modeling with local p... read more

Survey of Latest Advancements in Deep Learning for Point Cloud Completion.

IEEE transactions on visualization and computer graphics Feb 26, 2026

Point clouds have become a widely used data format in computer vision, driven by the increasing availability of 3D scanning devices in applications such as robotics and autonomous driving. However, challenges in data acquisition, such as occlusion, r... read more

Motivational Computing: Transformer-Based Automation of Implicit Motive Coding.

Journal of personality assessment Feb 26, 2026

Implicit motives have a clear relation to observed behavior but are time-consuming to measure. Automating the content coding of implicit motives has been a pursuit since the 1960s, but has not been widely adopted due to limitations with the marker-wo... read more

Deep Learning for Classification and Prognosis of Melanoma in Whole-Slide Images: A Review.

The American Journal of dermatopathology Feb 26, 2026

The rising incidence of melanoma highlights the limitations of traditional diagnostic methods, including inefficiency, subjectivity, and poor quantifiability. Consequently, deep learning (DL)-based diagnosis and prognosis using whole-slide images (WS... read more

Application of machine learning for predicting aflatoxin contamination risk in maize from Texas.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment Feb 26, 2026

In this study, we developed models for predicting aflatoxin contamination in Texas maize samples. These models were trained on individual or median historical aflatoxin contamination records using machine learning algorithms. The weather, engineering... read more

Multicounty Outbreak of Salmonella Agbeni Linked to Ice in a Cooler at a County Fair - Illinois, August 2024.

MMWR. Morbidity and mortality weekly report Feb 26, 2026

On August 5, 2024, the Brown County (Illinois) Health Department (BCHD) was informed by the county sheriff that numerous potential jurors being screened for an upcoming trial had reported recently experiencing a gastrointestinal illness. One week lat... read more

Quantum Sensing for Precision Organ Aging Assessment.

Aging and disease Feb 26, 2026

Aging proceeds heterogeneously across organs, making chronological age an inadequate measure of physiological decline. The concept of organ biological age (OBA) offers a refined framework to quantify organ-specific functional deterioration. However, ... read more

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

JMIR human factors Feb 26, 2026

BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they often require long durations and frequent sessions. To address this, we hypothesized that interventions delivered in daily life via a smartphone app combi... read more

Artificial Intelligence Medical Compendium