PubMed Journals Articles About "Artificial Intelligence Market Fintech Forecast 2017 2022" RSS

11:53 EDT 21st August 2018 | BioPortfolio

Artificial Intelligence Market Fintech Forecast 2017 2022 PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Artificial Intelligence Market Fintech Forecast 2017 2022 articles that have been published worldwide.

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Showing "Artificial Intelligence Market Fintech Forecast 2017 2022" PubMed Articles 1–25 of 5,100+

A heterogeneous artificial stock market model can benefit people against another financial crisis.

This paper presents results of an artificial stock market and tries to make it more consistent with the statistical features of real stock data. Based on the SFI-ASM, a novel model is proposed to make agents more close to the real world. Agents are divided into four kinds in terms of different learning speeds, strategy-sizes, utility functions, and level of intelligence; and a crucial parameter has been found to ensure system stability. So, some parameters are appended to make the model which contains zero-...

Artificial Intelligence in Surgery: Promises and Perils.

The aim of this review was to summarize major topics in artificial intelligence (AI), including their applications and limitations in surgery. This paper reviews the key capabilities of AI to help surgeons understand and critically evaluate new AI applications and to contribute to new developments.

Medical students' attitude towards artificial intelligence: a multicentre survey.

To assess undergraduate medical students' attitudes towards artificial intelligence (AI) in radiology and medicine.

The mathematics of market timing.

Market timing is an investment technique that tries to continuously switch investment into assets forecast to have better returns. What is the likelihood of having a successful market timing strategy? With an emphasis on modeling simplicity, I calculate the feasible set of market timing portfolios using index mutual fund data for perfectly timed (by hindsight) all or nothing quarterly switching between two asset classes, US stocks and bonds over the time period 1993-2017. The historical optimal timing path ...

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction.

The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical images. Adoption of an artificial intelligence tool in clinical practice requires careful confirmation of its clinical utility. Herein, the authors explain key methodology points involved in a clinical evaluation of artificial intelligence technology for use in medicine, especially high-dimensional or overparameterized diagnostic or predictive mod...

The diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made remarkable progress in medicine. However, there are no reports on its application for diagnosing esophageal cancer. Here, we demonstrate the diagnostic ability of AI to detect esophageal cancer including squamous cell carcinoma and adenocarcinoma.

Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.

A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, and artificial intelligence algorithms, implemented into a Raspberry Pi board with Python programming language.

Artificial intelligence will soon change the landscape of medical physics research and practice.

Recently there has been a significant surge in applications of artificial intelligence (AI) in medicine, suggesting that AI may soon dramatically change the landscape of healthcare and thus medical physics. It is generally expected that AI will improve overall healthcare in an enormous way. Some believe that AI will similarly impact medical physics research and practice, while others believe that these expectations to be unrealistic due to issues of technical validation and practical limitations of AI. This...

Journal of Artificial Organs 2017: the year in review : Journal of Artificial Organs Editorial Committee.

Artificial Intelligence Is Becoming Natural.

Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hypertension and applying them to personalized management. This review summarizes recent advances in the computer science and medical field, illustrating the innovative AI approach for potential prediction of early stages of hypertension. Additionally, we review ongoing research and futu...

Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review.

Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of system...

Visual Analytics for Explainable Deep Learning.

Recently, deep learning has been advancing the state of the art in artificial intelligence to a new level, and humans rely on artificial intelligence techniques more than ever. However, even with such unprecedented advancements, the lack of explanation regarding the decisions made by deep learning models and absence of control over their internal processes act as major drawbacks in critical decision-making processes, such as precision medicine and law enforcement. In response, efforts are being made to make...

Artificial intelligence in the diagnosis of Parkinson's disease from ioflupane-123 single-photon emission computed tomography dopamine transporter scans using transfer learning.

The objective of this study was to identify the extent to which artificial intelligence could be used in the diagnosis of Parkinson's disease from ioflupane-123 (I) single-photon emission computed tomography (SPECT) dopamine transporter scans using transfer learning.

Artificial intelligence in health care: within touching distance.

Artificial intelligence-assisted polyp detection for colonoscopy: initial experience.

Cutting edge technology in dermatology: virtual reality and artificial intelligence.

Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark.

Artificial intelligence and the dreaded's.

"Alexa, Are You My Mom?" The Role of Artificial Intelligence in Child Development.

Prediction of pork loin quality using online computer vision system and artificial intelligence model.

The objective of this project was to develop a computer vision system (CVS) for objective measurement of pork loin under industry speed requirement. Color images of pork loin samples were acquired using a CVS. Subjective color and marbling scores were determined according to the National Pork Board standards by a trained evaluator. Instrument color measurement and crude fat percentage were used as control measurements. Image features (18 color features; 1 marbling feature; 88 texture features) were extracte...

Impact of Artificial Intelligence in the Brave New Medical World: No Time to Go Back.

French comment on article Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Artificial Intelligence in Health Care: Brave New World or Golden Opportunity?

Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient Safety.

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