AI Medical Compendium

AI and network biology for rational polypharmacology in signaling drug design: a review.

NPJ precision oncology May 5, 2026

The complexity of disease-causing signaling networks is indicative of the failure of single-target therapeutics to work, particularly because of feedback, redundancy and activation of compensatory responses. The review describes the recent movement t... read more

Pancreatic tumor detection in computed tomography images through a rotary positional siamese vision transformer.

Scientific reports May 5, 2026

Vision Transformers (ViTs) are one of the powerful tools in medical imaging, providing new possibilities for pancreatic cancer diagnosis. In recent years, several studies have reported deep learning (DL) techniques to computed tomography (CT) images ... read more

Smartphone gaze-tracking for accessible psychiatric assessment.

Npj mental health research May 5, 2026

Eye movements are promising biomarkers for psychiatric and neurological disorders, yet conventional recording methods rely on bulky, expensive, and laboratory-bound devices. Deep-learning-based gaze-tracking technology now provides a practical means ... read more

Lump and breather interaction with different soliton solutions for the generalized doubly dispersive equation by embedded the neural networks.

Scientific reports May 5, 2026

In this study, we present the neural networks generalized Kudryashov (NNGK) method for the first time to explore exact solutions of the generalized doubly dispersive equation. This is a novel analytical technique that combines neural networks (NNs) m... read more

Multi-scale data improves performance of machine learning model for long COVID identification.

Communications medicine May 5, 2026

BACKGROUND: Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain limited in scope. While existing efforts, such as the National COVID Cohort Collaborative (N3C), have l... read more

A qualitative interview study investigating patient, health professional, and developer perspectives on real-world implementation of patient-centered AI systems.

NPJ digital medicine May 5, 2026

Artificial intelligence (AI) systems in healthcare often fail to improve patient outcomes despite high development accuracy. We conducted semi-structured interviews with patients (n = 18), health professionals (n = 8), and AI developers (n = 8), usin... read more

Micro S plit : semantic unmixing of fluorescent microscopy data.

Nature methods May 5, 2026

Fluorescence microscopy is constrained by optical limits, fluorophore chemistry and finite photon budgets, imposing trade-offs between imaging speed, resolution and phototoxicity. Here we introduce Micro S plit , a deep learning-based computational ... read more

Deep learning-assisted versus manual reading in routine cervical cytopathology: a multicentre randomised crossover trial.

NPJ digital medicine May 5, 2026

Deep learning (DL) systems could improve diagnostic accuracy and efficiency in detecting cervical atypia, but their effectiveness remains insufficiently explored. This multicentre, randomised crossover trial evaluated the clinical utility of a DL sys... read more

Human deskilling in medical artificial intelligence: prohibited or permissible under the EU Artificial Intelligence Act?

Nature reviews. Gastroenterology & hepatology May 5, 2026

The Application of Machine Learning in the Development of Co-Amorphous Dry Powder Inhalation.

AAPS PharmSciTech May 5, 2026

Besides improving drug solubility and stability, co-amorphous systems (COAMS) have recently been reported to enhance the pulmonary delivery efficiency of dry powder inhalation (DPI), offering a novel approach to the development of DPI. Conventional d... read more

Artificial Intelligence Medical Compendium