Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Strategies for feature extraction from structural brain imaging in lesion-deficit modelling.

High-dimensional modelling of post-stroke deficits from structural brain imaging is highly relevant ...

Fully Soft Pressure Sensor Based on Bionic Spine-Pillar Structure for Robotics Motion Monitoring.

Soft and stretchable sensors are essential to the development of electronic skin, especially their p...

Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach.

Alopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide...

Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance.

OBJECTIVES: To evaluate if artificial intelligence (AI) can discriminate recalled benign from recall...

dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effec...

Robotic enucleation of a biliary adenofibroma.

A 69-year-old man was referred to the hepatobiliary surgeons for mild enlargement of an asymptomatic...

Deep learning-based image reconstruction for TOF PET with DIRECT data partitioning format.

Conventional positron emission tomography (PET) image reconstruction is achieved by the statistical ...

Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...

Application of Pet-CT Fusion Deep Learning Imaging in Precise Radiotherapy of Thyroid Cancer.

This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, stu...

Deep Learning-Based Computed Tomography Image Features in the Detection and Diagnosis of Perianal Abscess Tissue.

The performance characteristics of deep learning fully convolutional neural network (DLFCNN) algorit...

Artificial Intelligence in Dermatology: A Threat or an Opportunity?

The worldwide explosion of interest in artificial intelligence (AI) has created a before-and-after m...

Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes.

Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-...

Cutaneous Ionogel Mechanoreceptors for Soft Machines, Physiological Sensing, and Amputee Prostheses.

Touch sensing has a central role in robotic grasping and emerging human-machine interfaces for robot...

Mathematical and computational modeling for the determination of optical parameters of breast cancer cell.

This study enumerates the quantitative measurement of optical parameters used in several diagnostic ...

Simulation and machine learning modelling based comparative study of InAlGaN and AlGaN high electron mobility transistors for the detection of HER-2.

The detection of the cancer biomarker human epidermal growth factor receptor 2 (HER-2) has always be...

neoDL: a novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival.

BACKGROUND: Neoantigen based personalized immune therapies achieve promising results in melanoma and...

Comparative Outcomes of Double-J and Cutaneous Pyeloureteral Stents in Pediatric Robot-Assisted Laparoscopic Pyeloplasty.

Comparative outcome studies investigating internal Double-J (DJ) and externalized stents have prima...

Computed Tomography Angiography under Deep Learning in the Treatment of Atherosclerosis with Rapamycin.

The clinical characteristics and vascular computed tomography (CT) imaging characteristics of patien...

Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours.

AIM: Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical ...

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