Artificial Intelligence of Toilet (AI-Toilet) for an Integrated Health Monitoring System (IHMS) using Smart Triboelectric Pressure Sensors and Image Sensor
Z Zhang, Q Shi, T He, X Guo, B Dong, J Lee, C Lee
Nano Energy, 2021
ABSTACT:Smart toilet provides a feasible platform for the long-term analysis of person's health.
Common solutions for identification are based on camera or Radio-frequency
identification (RFID) technologies, but it is doubted for privacy issues. Here, we...
[HTML] Artificial intelligence in human factors and ergonomics: an overview of the current state of research
D Petrat
Discover Artificial Intelligence, 2021
ABSTACT:The development of artificial intelligence (AI) technologies continues to advance. To
fully exploit the potential, it is important to deal with the topics of human factors and
ergonomics, so that a smooth implementation of AI applications can be realized. In...
[HTML] Patient apprehensions about the use of artificial intelligence in healthcare
JP Richardson, C Smith, S Curtis, S Watson, X Zhu...
npj Digital Medicine, 2021
ABSTACT:While there is significant enthusiasm in the medical community about the use of
artificial intelligence (AI) technologies in healthcare, few research studies have
sought to assess patient perspectives on these technologies. We conducted 15 focus...
[HTML] Ethical and legal responsibility for Artificial Intelligence
P Henz
Discover Artificial Intelligence, 2021
ABSTACT:Abstract \In civilized life, law floats in a sea of ethics, a quote by the former Chief
Justice of the United States, Earl Warren. In a democratic society, the constitution
defines the country's values, and the laws define the preferred or at least still...
Artificial Intelligence-enhanced drug design and development: toward a computational precision medicine
P Moingeon, M Kuenemann, M Guedj
Drug Discovery Today, 2021
ABSTACT:Artificial Intelligence (AI) relies upon a convergence of technologies with further
synergies with life science technologies to capture the value of massive multi-modal
data in the form of predictive models supporting decision-making. AI and machine...
[HTML] The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence
K Huang, Z Jiang, Y Li, Z Wu, X Wu, W Zhu, M Chen...
Journal of Medical Internet..., 2021
ABSTACT:Background: Skin and subcutaneous disease is the fourth-leading cause of the
nonfatal disease burden worldwide and constitutes one of the most common burdens
in primary care. However, there is a severe lack of dermatologists, particularly in rural...
[PDF] Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science
T Monroe-White, B Marshall, H Contreras-Palacios
Artificial Intelligence Diversity..., 2021
ABSTACT:Data science education is increasingly becoming an integral part of many
educational structures, both informal and formal. Much of the attention has been on
the application of AI principles and techniques, especially machine learning, natural...
Artificial Intelligence and Health Care Disparities in Radiology
V Sorin, E Klang
Radiology, 2021
ABSTACT:Editor: Social bias is apparent in various medical disciplines, and radiology is not
exempt. We therefore read with great interest the review by Dr Waite and colleagues
on disparities in the field of radiology, published in the April 2021 issue of Radiology...
Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review
L Yang, IC Ene, R Arabi Belaghi, D Koff, N Stein...
European Radiology, 2021
ABSTACT:Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in
automatic analysis of image characteristics. This scoping review examines...
A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study
AA Ardakani, RM Kwee, M Mirza-Aghazadeh-Attari...
Pattern Recognition Letters, 2021
ABSTACT:Computed tomography has gained an important role in the early diagnosis of COVID-
19 pneumonia. However, the ever-increasing number of patients has overwhelmed
radiology departments and has caused a reduction in quality of services. Artificial ...
AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence
B Spilseth, CD McKnight, MD Li, CJ Park, JG Fried...
Academic Radiology, 2021
ABSTACT:The Radiology Research Alliance (RRA) of the Association of University Radiologists
(AUR) convenes Task Forces to address current topics in radiology. In this article, the
AUR-RRA Task Force on Academic-Industry Partnerships for Artificial Intelligence...
Guided structure-based ligand identification and design via artificial intelligence modelling
JI Di Filippo, CN Cavasotto
Expert Opinion on Drug Discovery, 2021
ABSTACT:ABSTRACT Introduction: The implementation of Artificial Intelligence (AI)
methodologies to drug discovery (DD) are on the rise. Several applications have
been developed for structure-based DD, where AI methods provide an alternative...
[HTML] Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting
M Giavina-Bianchi, RM de Sousa...
PloS one, 2021
ABSTACT:Skin cancer is currently the most common type of cancer among Caucasians. The
increase in life expectancy, along with new diagnostic tools and treatments for skin
cancer, has resulted in unprecedented changes in patient care and has generated a...
[PDF] Tourism Getting Back to Life after COVID-19: Can Artificial Intelligence Help?
M Peric, V Vitezic
Societies, 2021
ABSTACT:Measures aimed at keeping physical and social distance during the COVID-19
pandemic have started to be a big challenge for service industries all over the world.
The utilization of new technologies such as artificial intelligence (AI robots) in...
Artificial intelligence models for financial time series
A Barbulescu, CS Dumitriu
Ovidius University Annals, Economic Sciences Series, 2021
ABSTACT:Modeling and predicting the evolution of financial series has become an essential
research domain for scientists and practitioners in the field of economics or finance.
In this context, the purpose of this article is to determine two artificial intelligence ...
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
D Warszycki, L Struski, M Smieja, R Kafel, R Kurczab
Journal of Chemical..., 2021
ABSTACT:Structural fingerprints and pharmacophore modeling are methodologies that have
been used for at least 2 decades in various fields of cheminformatics, from similarity
searching to machine learning (ML). Advances in in silico techniques consequently...
[PDF] A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
A Oka, N Ishimura, S Ishihara
Diagnostics, 2021
ABSTACT:Artificial intelligence (AI) is rapidly becoming an essential tool in the medical field as
well as in daily life. Recent developments in deep learning, a subfield of AI, have
brought remarkable advances in image recognition, which facilitates improvement in...
Artificial intelligence assisted technoeconomic optimization scenarios of hybrid energy systems for water management of an isolated community
R Tariq, AJ Cetina-Quiñones, V Cardoso-Fernández…
...Energy Technologies and..., 2021
ABSTACT:Water is an essential resource demanded worldwide and it is quite debatable owing
to the economic, political, and energy characteristics of any region. Off-grid water
filtration plants are an alternative for communities where transportation of freshwater...
...Organizing Map, Artificial Neural Network, and Co-Active Neuro-Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence
V Gholami, MR Khaleghi, S Pirasteh, MJ Booij
Water Resources Management, 2021
ABSTACT:Water quality experiments are difficult, costly, and time-consuming. Therefore,
different modeling methods can be used as an alternative for these experiments. To
achieve the research objective, geospatial artificial intelligence approaches such as...
[PDF] Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
SH Kim, YJ Lim
Diagnostics, 2021
ABSTACT:Artificial intelligence (AI) has revolutionized the medical diagnostic process of
various diseases. Since the manual reading of capsule endoscopy videos is a time-
intensive, error-prone process, computerized algorithms have been introduced to...