Results 41 to 50 of about 12,729,451 (220)

AI in medical diagnosis: AI prediction & human judgment

Artif. Intell. Medicine
AI has long been regarded as a panacea for decision-making and many other aspects of knowledge work; as something that will help humans get rid of their shortcomings.
Dóra Göndöcs, Viktor Dörfler
semanticscholar   +1 more source

New similarity measures for single-valued neutrosophic sets with applications in pattern recognition and medical diagnosis problems

Complex & Intelligent Systems, 2020
The single-valued neutrosophic set (SVNS) is a well-known model for handling uncertain and indeterminate information. Information measures such as distance measures, similarity measures and entropy measures are very useful tools to be used in many ...
Jiajia Chai, Ganeshsree Selvachandran, F. Smarandache, V. Gerogiannis, Le Hoang Son, Quang-Thinh Bui, Bay Vo   +6 more
semanticscholar   +1 more source

Development of Gas Sensors and Their Applications in Health Safety, Medical Detection, and Diagnosis

Chemosensors
Gas sensors assume a crucial role in the medical domain, offering substantial support for disease diagnosis, treatment, medical environment management, and the operation of medical equipment by virtue of their distinctive gas detection capabilities. This
Jiayu Wang, Rui Wang
doaj   +1 more source

Bi-parametric distance and similarity measures of picture fuzzy sets and their applications in medical diagnosis

Egyptian Informatics Journal, 2020
The concept of picture fuzzy sets (PFS) is a generalization of ordinary fuzzy sets and intuitionistic fuzzy sets, which is characterized by positive membership, neutral membership, and negative membership functions.
Muhammad Jabir Khan, Poom Kumam, Wejdan Deebani, W. Kumam, Z. Shah   +4 more
semanticscholar   +1 more source

Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

Frontiers in Oncology
IntroductionA brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care ...
Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah   +7 more
doaj   +1 more source

Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical Diagnosis

IEEE Access, 2023
In recent days, due to the complexities of different diseases of similar types, it becomes very difficult to diagnose an accurate type of disease, and so medical diagnosis becomes a difficult task for the experts working in health departments.
Tahir Mahmood, Jabbar Ahmmad, Zeeshan Ali, Miin-Shen Yang   +3 more
doaj   +1 more source

SympCoughNet: symptom assisted audio-based COVID-19 detection

Frontiers in Digital Health
COVID-19 remains a significant global public health challenge. While nucleic acid tests, antigen tests, and CT imaging provide high accuracy, they face inefficiencies and limited accessibility, making rapid and convenient testing difficult.
Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou   +5 more
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Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets [PDF]

Neutrosophic Sets and Systems, 2015
This paper proposes a generalized distance measure and its similarity measures between single valued neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem with incomplete, indeterminate and inconsistent ...
Shan Ye, Jing Fu, Jun Ye
doaj  

HDTV System for Parkinson's Disease Diagnosis

Advances in Electrical and Computer Engineering, 2013
Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that ...
POHOATA, S., GRAUR, A.
doaj   +1 more source

Differences between human and machine perception in medical diagnosis [PDF]

Scientific Reports, 2020
Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since they can fail for reasons unrelated to underlying pathology.
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, N. Samreen, C. Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, B. Reig, H. Toth, Divya Awal, Linda Du, A. Kim, James Park, D. Sodickson, L. Heacock, L. Moy, Kyunghyun Cho, Krzysztof J. Geras   +20 more
semanticscholar   +1 more source