Alternative Medicine

Explainable artificial intelligence with pyramid vision transformer model for multi-class malignant cell classification on cytology slides.

Digital pathology involves the digitisation of histology slides, which is vital in modern healthcare, especially for cancer detection and diagnosis. Still, the manual analysis of these digital slides by expert pathologists is time-consuming and prone to inconsistencies. This workload often results in subjective grading and a lack of agreement between different pathologists (inter-operator variabil...

Integrative analysis of tumor-educated platelets for stage-specific diagnosis, prognosis, and therapy in ovarian cancer.

BACKGROUND: Ovarian cancer (OC) remains one of the most lethal gynecological cancers worldwide. Despite advances in diagnosis, OC is mostly detected at late stages due to undefined symptoms. Therefore, identifying feasible, reliable, non-invasive biomarkers for early detection and disease stratification of OC is crucial. Tumor-educated platelets (TEPs) have emerged as a promising source for liquid...

GenAI-Supported Virtual Patients in Health Care Education: Systematic Review.

BACKGROUND: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive...

Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study.

BACKGROUND: Coughing is a common clinical symptom and a protective respiratory reflex closely associated with various respiratory system diseases. The...

Artificial intelligence in ovarian pathophysiology and management: a systematic review and meta-analysis.

BACKGROUND: The integration of artificial intelligence (AI) into reproductive medicine and gynecologic oncology has driven transformative advances in ...

Emerging Applications and Key Considerations on the Use of Artificial Intelligence in Forensic Medicine and Pathology.

Artificial intelligence (AI) has rapidly expanded across medicine, demonstrating value in image analysis, risk prediction, and data interpretation. In...

[BVS Homeopatia Brasil: A historical review of its role in the visibility and access to homeopathic knowledge].

The Virtual Health Library on Homeopathy (BVS Homeopatia Brasil) represents a pioneering initiative in the organization, digitization, and disseminati...

Executive summary of the 2026 consensus document. Planning the future of Internal Medicine: A position statement of the International Forum of Internal Medicine (FIMI).

The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the current state and projects the future of Internal Medi...

Technological impact, generality, and complementarity of artificial intelligence patents: Evidence from Samsung Electronics.

This study examines the extent to which artificial intelligence (AI) technologies are more pervasive and technologically complementary than non-AI tec...

Classification of spinal tuberculous infection, pyogenic infection and spinal metastasis from magnetic resonance imaging using machine learning.

BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal metastasis remains a major diagnostic challenge b...

Reducing annotation burden in medical imaging with ADGNET: A semi-supervised deep learning strategy.

We propose ADGNET, a semi-supervised framework for Alzheimer's disease (AD) diagnosis that jointly optimizes image reconstruction and classification t...

Hybrid Vi+ECNN framework for advanced ADHD diagnostic accuracy in medical imaging.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Tra...

Development and external validation of an interpretable multimodal deep learning model for 5-year mortality in high-risk stage ii colorectal cancer.

PURPOSE: High-risk stage II colorectal cancer (CRC) shows heterogeneous outcomes despite adjuvant chemotherapy. We developed and validated an interpre...

A multimodal explainable ai framework to assist in the differential diagnosis of head and neck reactive follicular hyperplasia and follicular lymphoma: an international multicentre study.

The differential diagnosis between reactive follicular hyperplasia (RFH) and follicular lymphoma (FL) in head and neck tissues represents a diagnostic...

Network pharmacology and machine learning reveal multi-target mechanisms of poly herbal formulation against atherosclerosis.

BACKGROUND: Herbs, like Allium sativum, Ginkgo biloba and Nerium oleander are traditional medicinal plants that have been used to treat atherosclerosi...

Mutational signatures in blood-brain barrier: mechanisms, computational insights, and clinical applications in precision oncology.

The blood - brain barrier (BBB) plays a central role in maintaining central nervous system (CNS) homeostasis, and its disruption is a defining feature...

Multi-scale evidence chain: Linking environmental BPA exposure to ovarian cancer through integrated omics and experimental models.

BACKGROUND: Ovarian cancer (OC) is a leading cause of female cancer mortality. Beyond genetic and reproductive risk factors, emerging evidence suggest...

XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference.

Deep neural networks (DNNs) excel across domains but face challenges in resource-constrained and critical settings due to high computational cost and ...

Backcasting the Trust Gap: A Strategic Road Map for Clinician Adoption of AI Diagnostics by 2040.

The integration of artificial intelligence (AI) into clinical medicine presents a persistent paradox: diagnostic models routinely demonstrate benchmar...

The role of mechanical power in lung ventilation for the prevention of ventilator-induced lung injury: a narrative review.

Ventilator-induced lung injury continues to limit outcomes in patients with acute respiratory failure despite established lung-protective strategies.M...