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Laser Surgery

Latest AI and machine learning research in laser surgery for healthcare professionals.

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Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

Automatic Choroid Segmentation and Thickness Measurement Based on Mixed Attention-guided Multiscale Feature Fusion Network.

Choroidal thickness variations serve as critical biomarkers for numerous ophthalmic diseases. Accura...

Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.

Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeut...

Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease.

PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related op...

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistent...

Advances in renal cancer: diagnosis, treatment, and emerging technologies.

This review provides a comprehensive overview of current practices and recent advancements in the di...

Online Bayesian Approximation based Uncertainty Aware Model for Ophthalmic Image Segmentation.

The robust segmentation of different targets in multiple modality images is challenging due to facto...

High-Resolution Ultrasound Data for AI-Based Segmentation in Mouse Brain Tumor.

Glioblastoma multiforme (GBM) is the most aggressive type of brain cancer, making effective treatmen...

The role of computational modeling in enhancing thermal safety during cardiac ablation.

OBJECTIVE: In this narrative review, we aim to provide an analysis of current cardiac ablation techn...

Necl-4/CADM4 regulates GABAergic synaptic strength on GABAergic inhibitory neurons via ErbB4 activation and prevents neuronal impairments.

Neural networks comprise excitatory and inhibitory neurons, linked through excitatory and inhibitory...

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of mode...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy.

Myocardial infarction, a leading cause of mortality worldwide, leaves survivors at significant risk ...

AI-generated dermatologic images show deficient skin tone diversity and poor diagnostic accuracy: An experimental study.

BACKGROUND: Generative AI models are increasingly used in dermatology, yet biases in training datase...

Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.

Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...

AI assistance enhances histopathologic distinction between sebaceous and squamous cell carcinoma of the eyelid.

Sebaceous gland carcinoma (SGC) and some poorly differentiated squamous cell carcinomas (SC) of the ...

Perilesional dominance: radiomics of multiparametric MRI enhances differentiation of IgG4-Related ophthalmic disease and orbital MALT lymphoma.

BACKGROUND: To develop and validate a diagnostic framework integrating intralesional (ILN) and peril...

Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis.

Renal stones (RS) are common urologic condition with unclear pathogenesis. Role of aging-related dif...

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