Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Mustafa Al-Maini"'
Autor:
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Gavino Faa, Amer M. Johri, Laura E. Mantella, Jose Fernandes E. Fernandes, Jagjit S. Teji, Narpinder Singh, Mostafa M. Fouda, Rajesh Singh, Aditya Sharma, George Kitas, Vijay Rathore, Inder M. Singh, Kalyan Tadepalli, Mustafa Al-Maini, Esma R. Isenovic, Seemant Chaturvedi, Deepak Garg, Kosmas I. Paraskevas, Dimitri P. Mikhailidis, Vijay Viswanathan, Manudeep K. Kalra, Zoltan Ruzsa, Luca Saba, Andrew F. Laine, Deepak L. Bhatt, Jasjit S. Suri
Publikováno v:
EClinicalMedicine, Vol 73, Iss , Pp 102660- (2024)
Summary: Background: The field of precision medicine endeavors to transform the healthcare industry by advancing individualised strategies for diagnosis, treatment modalities, and predictive assessments. This is achieved by utilizing extensive multid
Externí odkaz:
https://doaj.org/article/c4edbf27386f423188216b7b2cb61390
Autor:
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M. Johri, Siddharth Gupta, John R. Laird, Inder M. Singh, Narendra N. Khanna, Mustafa Al-Maini, Esma R. Isenovic, Ekta Tiwari, Rajesh Singh, Andrew Nicolaides, Luca Saba, Vinod Anand, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 14, Iss 17, p 1894 (2024)
Background: The risk of cardiovascular disease (CVD) has traditionally been predicted via the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0HDL (AtheroPoint™, Roseville, CA, USA) was designed to demonstrate how well the fea
Externí odkaz:
https://doaj.org/article/ecc1fc4723a04c1ca97e395668c79b38
Autor:
Siddharth Gupta, Arun K. Dubey, Rajesh Singh, Mannudeep K. Kalra, Ajith Abraham, Vandana Kumari, John R. Laird, Mustafa Al-Maini, Neha Gupta, Inder Singh, Klaudija Viskovic, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1534 (2024)
Background: Diagnosing lung diseases accurately is crucial for proper treatment. Convolutional neural networks (CNNs) have advanced medical image processing, but challenges remain in their accurate explainability and reliability. This study combines
Externí odkaz:
https://doaj.org/article/7061d3ed97fb42e4a2c3025718da30d7
Autor:
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, Amer M. Johri, Laura Mantella, John R. Laird, Kosmas I. Paraskevas, Zoltan Ruzsa, Manudeep K. Kalra, Jose Fernandes E. Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Mostafa M. Fouda, Esma R. Isenovic, Mustafa Al-Maini, Vijay Viswanathan, Jasjit S. Suri
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 28, Iss 10, p 248 (2023)
Background: Cardiovascular disease (CVD) is challenging to diagnose and treat since symptoms appear late during the progression of atherosclerosis. Conventional risk factors alone are not always sufficient to properly categorize at-risk patients, and
Externí odkaz:
https://doaj.org/article/6b5a1097ad884a6fbeb1197ad354d996
Autor:
Prabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, Narendra N. Khanna, John R. Laird, Gavino Faa, Inder M. Singh, Georgios Tsoulfas, Mannudeep K. Kalra, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Vikas Agarwal, Puneet Ahluwalia, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3159 (2023)
Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions. However, standalone transfer learning (TL) models failed to deliver optimal performance. I
Externí odkaz:
https://doaj.org/article/0f0e7c6824bc45a48b9574d53498fd7f
Autor:
Smiksha Munjral, Puneet Ahluwalia, Ankush D. Jamthikar, Anudeep Puvvula, Luca Saba, Gavino Faa, Inder M Singh, Paramjit S. Chadha, Monika Turk, Amer M. Johri, Narendra N Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P Sfikakis, George Tsoulfas, Athanasios Protogerou, Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Vijay Viswanathan, P K Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Jasjit S. Suri
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 26, Iss 11, Pp 1312-1339 (2021)
Background: Atherosclerosis is the primary cause of the cardiovascular disease (CVD). Several risk factors lead to atherosclerosis, and altered nutrition is one among those. Nutrition has been ignored quite often in the process of CVD risk assessment
Externí odkaz:
https://doaj.org/article/113e7f41264d481887f23b5eda3d0172
Autor:
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S. C. Danna, Sushant Agarwal, Lopamudra Mohanty, Nillmani, Neeraj Sharma, Sarita Yadav, Achin Jain, Ashish Kumar, Mannudeep K. Kalra, David W. Sobel, John R. Laird, Inder M. Singh, Narpinder Singh, George Tsoulfas, Mostafa M. Fouda, Azra Alizad, George D. Kitas, Narendra N. Khanna, Klaudija Viskovic, Melita Kukuljan, Mustafa Al-Maini, Ayman El-Baz, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1954 (2023)
Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo genera
Externí odkaz:
https://doaj.org/article/dcde398500354e0cbd2b362a057e3c09
Autor:
Jasjit S. Suri, Anudeep Puvvula, Misha Majhail, Mainak Biswas, Ankush D. Jamthikar, Luca Saba, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Saurabh Srivastava, Paramjit S. Chadha, Harman S. Suri, Amer M. Johri, Vijay Nambi, J Miguel Sanches, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Arindam Bit, Gyan Pareek, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit Teji, Michele Porcu, Mustafa Al-Maini, Ann Agbakoba, Meyypan Sockalingam, Ajit Sexena, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Vijay Viswanathan, Subbaram Naidu, Deepak L. Bhatt
Publikováno v:
Reviews in Cardiovascular Medicine, Vol 21, Iss 4, Pp 541-560 (2020)
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discover
Externí odkaz:
https://doaj.org/article/38aa60518c7c4c6da9aaaecc03fb56ca
Autor:
Narendra N. Khanna, Mahesh A. Maindarkar, Vijay Viswanathan, Jose Fernandes E Fernandes, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Raghu Kolluri, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Luca Saba, Vikas Agarwal, Aman Sharma, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, Lopamudra Mohanty, David W. Sobel, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri
Publikováno v:
Healthcare, Vol 10, Iss 12, p 2493 (2022)
Motivation: The price of medical treatment continues to rise due to (i) an increasing population; (ii) an aging human growth; (iii) disease prevalence; (iv) a rise in the frequency of patients that utilize health care services; and (v) increase in th
Externí odkaz:
https://doaj.org/article/74cbe9efc65441338035a74b32f9ff71
Autor:
Narendra N. Khanna, Mahesh A. Maindarkar, Vijay Viswanathan, Anudeep Puvvula, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Raghu Kolluri, Padukone R. Krishnan, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Surinder K. Dhanjil, Luca Saba, Antonella Balestrieri, Gavino Faa, Kosmas I. Paraskevas, Durga Prasanna Misra, Vikas Agarwal, Aman Sharma, Jagjit S. Teji, Mustafa Al-Maini, Andrew Nicolaides, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, David W. Sobel, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, Sophie Mavrogeni, George D. Kitas, Mostafa M. Fouda, Mannudeep K. Kalra, Jasjit S. Suri
Publikováno v:
Journal of Clinical Medicine, Vol 11, Iss 22, p 6844 (2022)
A diabetic foot infection (DFI) is among the most serious, incurable, and costly to treat conditions. The presence of a DFI renders machine learning (ML) systems extremely nonlinear, posing difficulties in CVD/stroke risk stratification. In addition,
Externí odkaz:
https://doaj.org/article/c128f36f5d3944c9a17a24b1ad9a345c