AIMC Topic: Male

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Accuracy of Artificial Intelligence Formulas and Axial Length Adjustments for Highly Myopic Eyes.

American journal of ophthalmology Sep 18, 2020
PURPOSE: To compare the accuracy of artificial intelligence formulas (Kane formula and Radial Basis Function [RBF] 2.0) and other formulas, including the original and modified Wang-Koch (MWK) adjustment formulas for Holladay 1 (H1-MWK) and SRK/T (SRK...
Axial Length, Eye Lens Implantation, Intraocular Myopia, Degenerative Lenses, Intraocular Phacoemulsification Biometry Optics and Photonics Artificial Intelligence Aged Retrospective Studies Aged, 80 and over Female Adult Humans Reproducibility of Results Male Middle Aged
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Mortality Coronary Artery Disease Humans Sex Factors Artificial Intelligence Middle Aged Proportional Hazards Models COVID-19 Comorbidity Radiography, Thoracic Prognosis SARS-CoV-2 Severity of Illness Index Deep Learning Age Factors Hospitalization Retrospective Studies Aged Radiography Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Emergency Service, Hospital Intensive Care Units Male Italy Female Neurodegenerative Diseases
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Robotic Resection of Postero-Superior Liver Segments (7,8) (with Video).

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Sep 18, 2020
BACKGROUND: Surgical resection is the standard treatment for colorectal liver metastases. Parenchyma-sparing technique should always be attemptedto prevent postoperative liver failure and increase the opportunity to perform repeated resections in cas...
Humans Male Laparoscopy Middle Aged Liver Neoplasms Robotic Surgical Procedures Liver Neoplasm Recurrence, Local Robotics Hepatectomy
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Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 18, 2020
Hepatocellular carcinoma (HCC) is a representative primary liver cancer caused by long-term and repetitive liver injury. Surgical resection is generally selected as the radical cure treatment. Because the early recurrence of HCC after resection is as...
Liver Neoplasms Carcinoma, Hepatocellular Support Vector Machine Neoplasm Recurrence, Local Hepatectomy Aged, 80 and over Humans Adult Male Middle Aged Prognosis Retrospective Studies Female Aged
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Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Stroke Sep 18, 2020
BACKGROUND AND PURPOSE: Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility ...
Humans Ischemic Stroke Electroencephalography Stroke Ischemic Attack, Transient Hemorrhagic Stroke Sensitivity and Specificity Male Middle Aged Deep Learning Logistic Models Neural Networks, Computer Female Aged Aged, 80 and over
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Urological and sexual function after robotic and laparoscopic surgery for rectal cancer: A systematic review, meta-analysis and meta-regression.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 17, 2020
BACKGROUND: This systematic review sought to compare the urogenital functions after laparoscopic (LAP) and robotic (ROB) surgery for rectal cancer.
Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Rectal Neoplasms Digestive System Surgical Procedures Humans Male Postoperative Complications
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Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 17, 2020
PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are difficulties in the collection, labeling and management of medical imaging data, because of ethical complications and the limited number of imaging studies ...
Image Processing, Computer-Assisted Prostatic Neoplasms Semantics Humans Tomography, X-Ray Computed Male Deep Learning
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How Social Cues in Virtual Assistants Influence Concerns and Persuasion: The Role of Voice and a Human Name.

Cyberpsychology, behavior and social networking Sep 17, 2020
The aim of this study was to test how two important types of social cues used by virtual assistants today can affect consumer concerns and persuasion. These two cues are modality (voice-based via smart speaker, voice-based via a smartphone, or text-b...
Voice Names Attitude to Computers Male Humans User-Computer Interface Artificial Intelligence Persuasive Communication Female Cues Young Adult
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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Scientific reports Sep 17, 2020
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrosp...
Young Adult Adult Colorectal Neoplasms Male Middle Aged Tomography, X-Ray Computed Female Aged Aged, 80 and over Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Expert Testimony Diagnosis, Computer-Assisted Liver Neoplasms Liver Neoplasm Staging Humans Neural Networks, Computer Retrospective Studies
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Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan.

BMC bioinformatics Sep 17, 2020
BACKGROUND: Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related...
Humans Neural Networks, Computer Middle Aged Liver Neoplasms Abdomen Neoplasm Staging Preoperative Period Tomography, X-Ray Computed Female Colorectal Neoplasms Male
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