The Transformation and Upgrading of Applied Psychological Assessment in the New Era Enabled by Big Data and Artificial Intelligence

2021 ◽  
Vol 10 (07) ◽  
pp. 1839-1844
Author(s):  
可淇 潘
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Psychological Assessment ◽  
New Era

scholarly journals Correction: How Can Artificial Intelligence Make Medicine More Preemptive? (Preprint)

2020 ◽  
Author(s):  
Usman Iqbal ◽  
Leo Anthony Celi ◽  
Yu-Chuan Jack Li
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Big Data ◽  
Early Detection ◽  
Cost Effective ◽  
Screening Tools ◽  
Early Detection Of Disease ◽  
New Era ◽  
Predictive Approach ◽  
Data Screening

UNSTRUCTURED In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation.

scholarly journals Artificial intelligence and big data in entrepreneurship: a new era has begun

2019 ◽  
Vol 55 (3) ◽  
pp. 529-539 ◽  
Author(s):  
Martin Obschonka ◽  
David B. Audretsch
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
New Era

scholarly journals How Can Artificial Intelligence Make Medicine More Preemptive? (Preprint)

2019 ◽  
Author(s):  
Usman Iqbal ◽  
Leo Anthony Celi ◽  
Yu-Chuan Jack Li
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Big Data ◽  
Early Detection ◽  
Cost Effective ◽  
Screening Tools ◽  
Early Detection Of Disease ◽  
New Era ◽  
Predictive Approach ◽  
Data Screening

UNSTRUCTURED In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation.

scholarly journals How Can Artificial Intelligence Make Medicine More Preemptive?

10.2196/17211 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e17211
Author(s):  
Usman Iqbal ◽  
Leo Anthony Celi ◽  
Yu-Chuan Jack Li
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Big Data ◽  
Early Detection ◽  
Cost Effective ◽  
Screening Tools ◽  
Early Detection Of Disease ◽  
New Era ◽  
Predictive Approach ◽  
Data Screening

In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation.

scholarly journals Artificial intelligence: what should an intensivist have in mind in the beginning of the new era?

2021 ◽  
Vol 25 (1) ◽  
pp. 8-12
Author(s):  
Luiz Alberto Cerqueira Batista Filho
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Critical Care ◽  
Intensive Care ◽  
Black Box ◽  
Care Physician ◽  
New Era ◽  
Intensive Care Physician ◽  
The Subject ◽  
In The Beginning

A new era is coming for medicine, and for critical care in particular. The intensive care unit is at the edge of being completely changed by artificial intelligence, and many challenges are ahead of the intensive care physician. This article aims to address the benefits and difficulties that big data will bring to clinicians, and to provide an overview on the subject. Key words: Big Data; Artificial intelligence; ICU; Critical Care; Black box Citation: Filho LACB. Artificial intelligence: what should an intensivist have in mind in the beginning of the new era. Anaesth. Pain intensive care 2021;25(1):8-12. DOI: 10.35975/apic.v25i1.1428 Received: 10 December 2020, Reviewed: 3 January 2021, Accepted: 8 January 2021

A Study on the Development of Appointment Algorithm of CT With Big Data using AI (Artificial Intelligence)

2018 ◽  
Vol 20 (2) ◽  
pp. 1-5
Author(s):  
Sang-ho Jeon ◽  
Sung-yeul Yang ◽  
In-beom Shin ◽  
Dae-mok Son ◽  
Tae-han Kwon ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data

scholarly journals How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

2021 ◽  
Vol 11 (1) ◽  
pp. 32
Author(s):  
Oliwia Koteluk ◽  
Adrian Wartecki ◽  
Sylwia Mazurek ◽  
Iga Kołodziejczak ◽  
Andrzej Mackiewicz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Medical Data ◽  
General Process ◽  
New Era ◽  
Automated Evaluation ◽  
Machine Learning Applications ◽  
And Training ◽  
Current Standards

With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

scholarly journals Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery

2021 ◽  
Author(s):  
Manish Kumar Tripathi ◽  
Abhigyan Nath ◽  
Tej P. Singh ◽  
A. S. Ethayathulla ◽  
Punit Kaur
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Drug Discovery
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