Prescriptions

Deep learning-based automatic field of view planning for prostate MRI in oblique coronal and oblique axial planes.

Accurate field-of-view (FoV) prescription in oblique coronal and axial planes is essential for high-quality prostate MRI but remains operator-dependent and variable. We developed and evaluated a ResNet-based deep learning framework for automated FoV planning. In this retrospective multicenter study, FoV prescriptions were annotated on PI-CAI dataset. Three readers assessed intra- and inter-rater v...

A Review on Artificial Intelligence in Pharmaceutical Sciences: Opportunities & Challenges.

SignificanceThe review aims to systematically explore the transformative impact of artificial intelligence (AI) on pharmaceutical sciences. It Address key research questions regarding how AI accelerates drug development, enhances clinical trial design, optimizes manufacturing, and drives advances in personalized and precision medicine.MethodsA comprehensive literature review was conducted. It Synt...

GATA3 mediates the cardioprotective effect of hydroxysafflor yellow a against septic cardiomyopathy: insights from integrated machine learning, WGCNA, and experimental validation.

UNLABELLED: Sepsis-induced cardiomyopathy represents a life-threatening complication arising from severe sepsis and septic shock. Hydroxysafflor yello...

Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas.

The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant chall...

Occupational and socioeconomic predictors of myocardial infarction and coronary heart disease: a machine learning analysis.

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. Although traditional cardiovascular risk models...

AI-based diagnostic evaluation of GPT-4o for crown-fracture detection on maxillary periapical radiographs: effects of prompt detail and customization.

BACKGROUND/AIM: Artificial intelligence (AI) and large language models (LLMs) are rapidly entering dental imaging workflows. We conducted a diagnostic...

Development of AI-assisted 3D-printed degradable hydrogel microneedles for transdermal delivery of progesterone-loaded solid lipid nanoparticles: a novel approach to slowing Alzheimer's disease progression.

Progesterone (PG) is used to slow the progression of neurodegenerative diseases, particularly Alzheimer's disease (AD) in postmenopausal women. Howeve...

TransGAT-DTI: Transformer and Graph Attention Network for Drug-Target Interaction Prediction.

Drug-target interaction (DTI) prediction is of great practical value for discovering, developing, and repurposing drugs, which has tremendous advantag...

Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review.

BACKGROUND: Artificial intelligence (AI) in the domain of health care is increasing in prominence. Acceptance is an indispensable prerequisite for the...

[Use of artificial intelligence for next-gen anamnesis and communication in orthopedics & trauma surgery : From chatbots to ambient intelligence].

BACKGROUND: Against the backdrop of increasing patient volumes, rising case complexity, and physicians' limited time, AI-driven systems for anamnesis,...

Flux sampling and graph neural networks for improved gene essentiality prediction in mammalian genome-scale metabolic models.

Gene essentiality, the requirement of a gene for survival or proliferation, is central to understanding cellular processes and identifying drug target...

KG-Bench: Benchmarking Graph Neural Network Algorithms for Drug Repurposing.

MOTIVATION: Drug repurposing leverages existing drugs for new indications, accelerating drug development. Computational methods integrating diverse bi...

Drug Response Profile-Based Machine Learning Enables Strategic Cell Line and Compound Selection for Drug Development.

MOTIVATION: Early-stage drug discovery relies on testing compounds across a limited set of cell lines, making it challenging to capture biological div...

Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older ...

The geographic digital divide among dementia caregivers in the U.S.: a cross-sectional study.

BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and...

Machine learning and neural network algorithms for prediction of C5 palsy after posterior surgery for ossification of posterior longitudinal ligament.

PURPOSE: C5 palsy (C5P) is one of the main postoperative complications of ossification of the posterior longitudinal ligament (OPLL). However, an accu...

Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province.

The differential understanding of the landslidetriggering mechanisms across various geomorphic units is vital for enhancing regional disaster preventi...

DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.

Combination therapies have become a cornerstone of modern medicine, offering improved treatment outcomes and reduced side effects compared to monother...

IHM-DDI: Integrating High-order Interaction Topology and Morgan Fingerprint Features for Drug-Drug Interaction Prediction.

Drug-drug Interaction (DDI) prediction is crucial in pharmacology and clinical applications. Conventional methods remain constrained by single-view pa...

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time.

BACKGROUND: Digital phenotyping has emerged as a promising approach to capture real-time behavioral and physiological data in individuals with bipolar...