AIMC Topic: Retrospective Studies

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[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Dec 7, 2021
To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual snoring and obstructive sleep apnea hypopnea syndrome (OSAHS) based on single-channel EEG collected from different locations of the head. The clinic...
Retrospective Studies Female Adult Male Young Adult Sleep Humans Middle Aged Sleep Stages Neural Networks, Computer Electroencephalography Artificial Intelligence
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[Virological evolution of patients with HIV infection that start antiretroviral therapy with a very high baseline viral load].

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia Dec 1, 2021
BACKGROUND: The degree of viral suppression in HIV patients who start antiretroviral therapy (ART) with very high viral loads (CV) is unknown.
CD4 Lymphocyte Count Humans HIV Infections Serologic Tests Viral Load Antiretroviral Therapy, Highly Active Retrospective Studies Anti-HIV Agents
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Effectiveness and safety of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil fumarate single-tablet combination among HIV-infected patients in Turkey: results from a real world setting.

African health sciences Dec 1, 2021
BACKGROUND: Efficacy of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil (E/C/F/TDF) in treatment-naïve and experienced patients with HIV infection was demonstrated in phase 3 trials. The primary objective of this study was to evaluate effe...
Quinolones Turkey HIV Infections Humans Adult Anti-HIV Agents Emtricitabine Retrospective Studies Tenofovir Male Tablets Homosexuality, Male Drug Combinations Cobicistat
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Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography.

Tuberkuloz ve toraks Dec 1, 2021
INTRODUCTION: Computed tomography (CT) is an auxiliary modality in the diagnosis of the novel Coronavirus (COVID-19) disease and can guide physicians in the presence of lung involvement. In this study, we aimed to investigate the contribution of deep...
COVID-19 Retrospective Studies SARS-CoV-2 Tomography, X-Ray Computed Artificial Intelligence Humans Deep Learning
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A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps.

Translational vision science & technology Dec 1, 2021
PURPOSE: To develop and assess the accuracy of a hybrid deep learning construct for detecting keratoconus (KCN) based on corneal topographic maps.
Corneal Topography Cornea Deep Learning Keratoconus Humans Retrospective Studies
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Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery.

Annals of medicine Dec 1, 2021
BACKGROUND AND AIM: Eyelid position and contour abnormality could lead to various diseases, such as blepharoptosis, which is a common eyelid disease. Accurate assessment of eyelid morphology is important in the management of blepharoptosis. We aimed ...
Eyelids Humans Deep Learning Blepharoptosis Retrospective Studies
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[Preliminary application of transoral robotic thyroidectomy: experience from an initial 30 cases].

Zhonghua wai ke za zhi [Chinese journal of surgery] Dec 1, 2021
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases of transoral robotic thyroidectomy at the Department of Thyroid and Breast Surgery, the 960 Hospital of People's Liberation Army from May 2020 to Dece...
Retrospective Studies Female Male Humans Thyroid Neoplasms Operative Time Robotics Postoperative Complications Thyroidectomy Robotic Surgical Procedures Neck Dissection
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Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

Yonsei medical journal Dec 1, 2021
PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an independent task learning (ITL) algorithm and to evaluate its performance in maxillary sinusitis applications.
ROC Curve Humans Radiography Retrospective Studies Maxillary Sinusitis Deep Learning
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Machine learning for the identification of decision boundaries during the transition from radial to vertical growth phase superficial spreading melanomas.

Melanoma research Dec 1, 2021
The objective of this study was to compute threshold values for the diameter of superficial spreading melanomas (SSMs) at which the radial growth phase (RGP) evolves into an invasive vertical growth phase (VGP). We examined reports from 1995 to 2019 ...
Melanoma Skin Neoplasms Male Retrospective Studies Humans Female Middle Aged Machine Learning
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Novel Machine Learning Model Uncovers Key Prostate Cancer Pathways.

Cancer discovery Dec 1, 2021
A biologically informed sparse neural network, P-NET, revealed previously unknown potential drivers.
Retrospective Studies Male Prostatic Neoplasms Humans Machine Learning
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