Alternative Medicine

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This study evaluates whether the Fleming method for tissue and vascular differentiation and metabolism (FMTVDM) can quantify inflammothrombotic immunologic response disease (ITIRD) as a unified biologic continuum across cardiovascular, oncologic, and infectio...

BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection.

The noise of Magnetic Resonance Imaging (MRI) poses challenges for Deep Learning (DL) when tumor boundaries are obscured, tumor location and appearance are complex due to overlap between tumor and non-tumor cells, and modality identification is difficult because tumor features vanish in the later layers of the DL. Effective feature extraction from given MRI is a possible solution to overcome this ...

Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.

Recent advances in spatial transcriptomics (ST) have generated an expanding collection of heterogeneous datasets, offering unprecedented opportunities...

Explainable 3D VGG-style convolutional neural network for pediatric hydrocephalus detection on computed tomography: A segmentation-free and fully volumetric deep learning framework.

Pediatric hydrocephalus is commonly assessed on computed tomography (CT) using manual two-dimensional indices that incompletely reflect the ventricula...

Attentional Avoidance of Sexual Cues in Psychogenic Erectile Dysfunction: An Eye-Tracking and Machine Learning Study.

BACKGROUND: Psychogenic erectile dysfunction (pED) is a prevalent male erectile dysfunction without organic causes, and difficulties in erection attai...

Real-Time Evaluation of a Large Language Model for Clinical Practice Guideline Development.

BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM) for performing each of the steps of clinical prac...

Considerations about the proliferation of large language model chatbots and youth mental health.

Young people are experiencing worsening mental health and a growing reliance on online tools and services to address mental health difficulties. At th...

Applying microbial ecology frameworks to microbial therapies for wildlife.

Microbial ecology is increasingly incorporated into human and animal medicine via the study and purposeful manipulation of host-associated microbiomes...

Game of clones: decipher lineage plasticity in hormone-driven cancers.

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormone receptors to sustain lineage identity and growt...

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded in cancer care, yet the scope of U.S. Food and Drug...

Advanced deep learning vision transformer models for intelligent grain counting in agricultural data analytics.

Grain number estimation plays a crucial role in agriculture, serving as a key indicator for crop yield and quality assessment. With advances in comput...

Cerebral Vasospasm Detection and Delayed Cerebral Ischemia Prediction after Aneurysmal Subarachnoid Hemorrhage: A Scoping Review.

BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cerebral vasospasm and delayed cerebral ischemia (DCI),...

Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model.

This research presents a robust real-time driver drowsiness detection system employing deep learning, attention mechanisms, and explainable AI (XAI) t...

Deep Learning-Aided SERS Detection of Microplastics in Water Samples with a Hierarchically Porous Gold Sponge Substrate.

The pervasive occurrence of microplastics (MPs) in aquatic environments presents growing challenges for environmental monitoring. Conventional MP dete...

Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.

Artificial intelligence (AI) is an exciting development makes life easier and solves many problems in daily life. The Birmingham Orthopaedic Oncology ...

Cuproptosis-related circulating non-coding RNAs as diagnostic and prognostic biomarkers in oncology.

Cuproptosis is a recently described copper-dependent form of regulated cell death linked to mitochondrial metabolic stress and is emerging as a biolog...

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgic...

Reconstruction of emergence profile using a digital mirroring technique in a custom biological definitive abutment and interim restoration in immediate implant placement in esthetic area: A clinical report with 4-year follow-up.

Immediate implant placement and interim restoration in the anterior maxilla remains challenging because of the high esthetic demands and the risk of s...

Traditional, complementary, and integrative medicine in a rapidly digitalizing research environment: ethics and intellectual property considerations.

Multiclass Classification of Renal Tumor Subtypes: Addressing Diagnostic Challenges Using a Texture-Informed Deep Hybrid CNN-Transformer.

Accurate histopathological classification of renal cell carcinoma (RCC), along with its distinction from benign mimickers, is essential for precision ...