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Generations’ Perception Towards the Interaction with AI [PDF]

Proceeding Papers (BASIQ International Conference), 2023
Acknowledging the ongoing trend and increasing implementation of different forms of AI that simulate human behavior for various tasks in a human-like manner, the focus of the present research is set to determine the attitude of consumers ...
Maria Barbul, Irina Bojescu
doaj   +1 more source

An AI model of sonographer’s evaluation+ S-Detect + elastography + clinical information improves the preoperative identification of benign and malignant breast masses

Frontiers in Oncology, 2022
PurposeThe purpose of the study was to build an AI model with selected preoperative clinical features to further improve the accuracy of the assessment of benign and malignant breast nodules.MethodsPatients who underwent ultrasound, strain elastography ...
Pengfei Sun, Ying Feng, Chen Chen, Andre Dekker, Linxue Qian, Zhixiang Wang, Jun Guo   +6 more
doaj   +1 more source

An artificial intelligence prediction model outperforms conventional guidelines in predicting lymph node metastasis of T1 colorectal cancer

Frontiers in Oncology, 2023
BackgroundAccording to guidelines, a lot of patients with T1 colorectal cancers (CRCs) undergo additional surgery with lymph node dissection after being treated by endoscopic resection (ER) despite the low incidence of lymph node metastasis (LNM).AimThe ...
Zheng Hua Piao, Rong Ge, Lu Lu
doaj   +1 more source

Artificial intelligence-assisted interpretation of Ki-67 expression and repeatability in breast cancer

Diagnostic Pathology, 2022
Background Ki-67 standard reference card (SRC) and artificial intelligence (AI) software were used to evaluate breast cancer Ki-67LI. We established training and validation sets and studied the repeatability inter-observers.
Lina Li, Dandan Han, Yongqiang Yu, Jinze Li, Yueping Liu   +4 more
doaj   +1 more source

Development of an artificial intelligent grading diagnosis model for diabetic fundus lesions based on EasyDL and its verification evaluation [PDF]

Xin yixue, 2022
Objective To innovatively utilize the open artificial intelligence （AI） platform EasyDL to independently develop an AI auxiliary diagnosis model for diabetic retinopathy （DR）, and evaluate its diagnostic accuracy indicators.
Cao Qiwen, Wang Chunhui, Wan Jiejun, Wang Jinlong, Yang Qunfeng
doaj   +1 more source

TinderAI: Support System for Matching AI Algorithms and Embedded Devices

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Artificial Intelligence (AI) is becoming increasingly important and pervasive in the modern world. The widespread adoption of AI algorithms is reflected in the extensive range of HW devices on which they can be deployed, from high-performance computing ...
Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizˇurica, Igor Jovančević, Tim Llewellynn, Miguel de Prado   +6 more
doaj   +1 more source

Feedback from artificial intelligence improved the learning of junior endoscopists on histology prediction of gastric lesions

Endoscopy International Open, 2020
Background and study aims Artificial intelligence (AI)-assisted image classification has been shown to have high accuracy on endoscopic diagnosis.
Thomas K.L. Lui, Kenneth K.Y. Wong, Loey L.Y. Mak, Elvis W.P. To, Vivien W.M. Tsui, Zijie Deng, Jiaqi Guo, Li Ni, Michael K.S. Cheung, Wai K. Leung   +9 more
doaj   +1 more source

Expanding the Set of Pragmatic Considerations in Conversational AI

CoRR, 2023
Pre-print version of paper that appeared at Multidisciplinary Perspectives on COntext-aware embodied Spoken Interactions (MP-COSIN) workshop at IEEE RO-MAN ...
S. M. Seals, Valerie L. Shalin
openaire   +2 more sources

Enabling AI Adoption through Assurance

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
With the broader adoption of AI-enabled software systems, it is necessary to provide assurance to the layman user that the AI system will behave as intended.
Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura Freeman, Raghu Kacker, M S Raunak, Rick Kuhn   +5 more
doaj   +1 more source

Data Set of AI Jobs

, 2022
{"references": ["\"World Wide Web.\" SpringerReference, doi: 10.1007/springerreference_28639.", "Mellor, C. Seagate sponsors refashioned IDC digital data-flood blather. The Register. Apr. 2017. https://www.theregister.com/2017/ 04/05/seagate_sponsors_refashione d_idc_digital_universe_blather/ (accessed: Jun.2022).", "Coble, Z.
Divyam Pithawa, Sarthak Nahar, Shivam Sharma, Er. Nikhil Chaturvedi   +3 more
openaire   +2 more sources