Prescriptions

Machine Learning-Based Discrimination of Treatment-Resistant Schizophrenia Using Structural Brain Imaging: A Multi-Site Proof-of-Concept Study.

BACKGROUND: Treatment-resistant schizophrenia (TRS) affects 20-30% of individuals with schizophrenia, with persistent symptoms, functional impairment, and reduced quality of life. Clinical identification remains dependent on sequential antipsychotic trials despite reported structural brain differences between TRS and treatment-responsive schizophrenia (TxR). This study evaluated whether structural...

Identification and localization of myopic macular neovascularization using deep learning.

PURPOSE: Myopia is rapidly increasing worldwide, with macular neovascularization (MNV) representing a major cause of vision loss. Early diagnosis remains challenging. Our study aims to incorporate a deep learning (DL) model to identify and localize myopic MNV using OCT images. METHODS: A total of 6,215 OCT B-scan images of patients with pathologic myopia were included, of which 1,664 contained MNV...

AI Structural Biology in Nephrology: Powerful Scaffolds, Fragile Certainties.

Artificial intelligence (AI)-based protein structure prediction has rapidly entered nephrology, providing plausible atomic models for channels, transp...

Automating Diagnosis of Skin Neglected Tropical Diseases via Patient Metadata through Machine Learning Model with Adaptive Balancing and Dual Cross-Validation: Retrospective Diagnostic Accuracy Study.

BACKGROUND: Skin neglected tropical diseases (NTDs) are the most prevalent diseases worldwide, affecting people living in resource-limited areas with ...

The association between serum chloride levels and asthma prevalence: A cross-sectional study with variable screening and validation guided by machine learning.

Prior evidence suggests that ion channel dysfunction plays a significant role in the pathogenesis of asthma, which provides a theoretical basis for th...

Two-stage deep learning framework for magnetic resonance imaging-based detection of temporomandibular joint osteoarthritis.

OBJECTIVES: Cone-beam computed tomography (CBCT) is the reference standard for detecting osseous changes in temporomandibular joint osteoarthritis (TM...

Outcomes of Single-View Asymmetries Recalled From Screening Mammography and Exploratory Analysis of AI Detection.

PURPOSE: To evaluate the diagnostic outcomes of single-view asymmetries (SVAs) recalled from screening mammography and to explore the association betw...

Overcoming Mechanical Blindness: Adaptive Surgical Instrument Design for the Heterogeneous Landscape of Uterine Fibroids.

Uterine fibroids pose a major global health burden, affecting approximately 120 million women worldwide. While minimally invasive surgeries, such as e...

Deep learning-enhanced detection of dental restorations and orthodontic appliances in panoramic radiographs using a clinically annotated dataset.

OBJECTIVE: Manual interpretation of dental panoramic radiographs is labor intensive and prone to diagnostic fatigue, particularly in high-volume setti...

Mitochondria-Targeted Nanotherapies in Aging Neurodegenerative Disorders: Emerging Prospects and Clinical Potential.

Aging is a significant risk factor of neurodegenerative disorders (NDs) such as Huntington's, Alzheimer's, Parkinson's, amyotrophic lateral sclerosis ...

Observer coverage and interaction rates determine the choice between design-based and machine learning bycatch estimators for rare species.

Robust estimates of the magnitude of protected species bycatch are essential for effective fisheries management and marine conservation. Existing byca...

Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.

BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmented care and therapeutic inertia. While digital heal...

Integrating Course-Based Competitions into Strategic Management Instruction: A Reproducible Course Improvement Protocol.

Strategic Management instruction requires students to apply analytical frameworks to uncertain, resource-constrained, and trade-off-based business sit...

Engineering innovations for precision medicine: sensors, AI biomarkers, and predictive interventions.

Precision medicine unifies the latest capabilities from engineering, biotechnology, and artificial intelligence (AI) to deliver data-driven personaliz...

Efficient Interfacial Electron Modulation Coupled with Machine Learning for Intelligent Microfluidic Photoelectrochemical-Electrochromic Sensing of Tetracycline.

Herein, an innovative microfluidic photoelectrochemical-electrochromic (PEC-EC) dual-mode sensing platform integrated with a machine learning (ML) qua...

Artificial Intelligence for Drug Delivery.

Drug delivery, serving as a pivotal link between pharmaceutical innovation and clinical implementation, faces numerous challenges in achieving optimal...

Prediction of Side Effects from Breast Radiation Therapy - Integration of Clinical and Genomic Data.

OBJECTIVES: To compare the ability of different machine learning models to predict the risk of side effects in patients with breast cancer undergoing ...

Wearable Triboelectric Sensors Based on High-Performance Au/TPU Nanofiber Electrodes for Object Recognition, Emotion Recognition, and Wireless Real-Time Robot Control.

Highly conductive and stretchable nanofibers are promising material candidates for wearable devices. However, traditional electrode materials are limi...

AI-generated patient instructions as safety-critical communication: a provisional evidence-informed framework for clinical deployment.

Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication e...

Defining 'psychedelic'.

Humphry Osmond coined the term 'psychedelic' in 1956, conjoining 'psyche' for 'soul' and 'delic' for 'to manifest' or 'illuminate'. Soul-illumination ...