Articles Related to Intelligence

The participants underwent assessments across all Theory of Mind (ToM) tasks. All individuals were native speakers, comprising 74 from Iran and 66 from Sweden, aged 6-12, and included those with autism spectrum disorder, Down syndrome, and typical development. We conclude that children’s behavior serves as a scale for social and thought problem assessments, evaluated based on teachers' and parents’ scores.

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Alan Turing and John McCarthy (1950-1955) coined the concept of artificial intelligence (AI) 70 years ago. Today AI is a reality for some areas of medicine, both human and veterinary, and other technological areas. Materializing into a transformative force within the new human, animal and ecological reality of preservation and sustainable development.

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Diabetic macular edema (DME) has become one of the most potential complications that results in loss of vision in patients with diabetic retinopathy. Treatment outcomes that have been predicted directly with advent of machine learning (ML) methods after the initial anti-vascular endothelial growth factor (anti-VEGF) injection, has become extremely vital in the management of DME. Purpose: The aim of this study is to analyze the efficiency of the ML regression models which were developed and validated to predict the possible post-injection central subfield thickness (CST) value and distant vision best corrected visual acuity (DV BCVA) in eyes with DME before the anti-VEGF injection is administered at either treatment initiation or during treatment monitoring. Methods: This retrospective study was conducted in Medical Research Foundation, Chennai, India from January 2010 to December 2020. The model development emphasized on an ensemble ML system consisting of four ML models that were developed and trained independently using the clinical parameters to predict the post injection CST value. The dataset consisting of 906 patients with total of 1874 samples [Optical coherence tomography (OCT) images and clinical parameters] were divided into trained and test set, and the model was validated on test dataset. The predicted CST values was then compared against the respective sample’s post injection actual CST value. The comparative results were measured in terms of Correlation Coefficient and Mean Absolute Relative Error (MARE). Results: On evaluation, we found that Support Vector Regression (SVR) with linear kernel performed best among the other models with four different scenarios in term of both CST and DVBCVA prediction with correlation coefficient of 0.65, 0.73, 0.75, 0.85 and 0.83, 0.87, 0.89 and 0.92 respectively.

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In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting sumoylation sites in proteins, one of the most important post modifications in proteins [1].

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Undetected colonic polyps are considered a major cause of interval cancer of the colon. The Automatic Polyp Detection System (APDS) (Magentiq Eye LTD, Haifa, Israel) was developed to enhance the ability of endoscopists to detect polyps during screening colonoscopy. It is designed to be used both in real-time and offline. APDS runs directly on the video output of the endoscopic camera and highlights the polyp on the screen. APDS utilizes the power of Deep Learning and Computer Vision in order to improve polyp detection rates thus improving the performance of the endoscopist.

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Undetected colonic polyps are considered a major cause of interval cancer of the colon. The Automatic Polyp Detection System (APDS) (Magentiq Eye LTD, Haifa, Israel) was developed to enhance the ability of endoscopists to detect polyps during screening colonoscopy. It is designed to be used both in real-time and offline. APDS runs directly on the video output of the endoscopic camera and highlights the polyp on the screen. APDS utilizes the power of Deep Learning and Computer Vision in order to improve polyp detection rates thus improving the performance of the endoscopist.

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We propose a novel strategy to predict unknown data from a smaller sample size by using compressive sensing which is one of the information technology used in artificial intelligence. In this study, we applied the compressive sensing to an empirical sample of clinical trials comprising of two groups. Each group required the time data of 25 patients but the data of 12 more patients had to be acquired to satisfy alpha and beta errors.

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The role of psychopathic tendencies and intelligence on Quality of life (QoL) ratings in different male offender groups was explored. Participants were 199 Swedish males with a history of criminality at age 11-14 and matched controls from the longitudinal project Young Lawbreakers as Adults.

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X-linked Intellectual Disability (XLID) is an extremely heterogeneous disorder for which many of the causative genes are still unknown. So far, more than one hundred genes of the X chromosome have been found to be altered in males manifesting intellectual disability (ID). NLGN4X is an XLID gene, which has been found, involved in autism and Asperger syndrome involving causative coding mutations.

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Present trend of the crimes in India reveals that a wide variety of firearms including factory /country made are illegally used in crimes like murder, armed robbery, riot, poaching etc. Out of the total firearms received in Tripura State Forensic Science Laboratory, Agartala for the last ten years, about 30% of the firearms are observed to be belonging to country made pistol/pipe guns.

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