Search Results - "Teji, Jagjit S."

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment by Khanna, Narendra N, Maindarkar, Mahesh A, Viswanathan, Vijay, Fernandes, Jose Fernandes E, Paul, Sudip, Bhagawati, Mrinalini, Ahluwalia, Puneet, Ruzsa, Zoltan, Sharma, Aditya, Kolluri, Raghu, Singh, Inder M, Laird, John R, Fatemi, Mostafa, Alizad, Azra, Saba, Luca, Agarwal, Vikas, Sharma, Aman, Teji, Jagjit S, Al-Maini, Mustafa, Rathore, Vijay, Naidu, Subbaram, Liblik, Kiera, Johri, Amer M, Turk, Monika, Mohanty, Lopamudra, Sobel, David W, Miner, Martin, Viskovic, Klaudija, Tsoulfas, George, Protogerou, Athanasios D, Kitas, George D, Fouda, Mostafa M, Chaturvedi, Seemant, Kalra, Mannudeep K, Suri, Jasjit S

“…: 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…”
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COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans by Suri, Jasjit S, Agarwal, Sushant, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S C, Saba, Luca, Mehmedović, Armin, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, Khanna, Narendra N, Mavrogeni, Sophie, Laird, John R, Pareek, Gyan, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanasios D, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Nagy, Ferenc, Ruzsa, Zoltan, Fouda, Mostafa M, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Mannudeep K

“…Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for…”
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COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models by Suri, Jasjit S., Agarwal, Sushant, Pathak, Rajesh, Ketireddy, Vedmanvitha, Columbu, Marta, Saba, Luca, Gupta, Suneet K., Faa, Gavino, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Viskovic, Klaudija, Mavrogeni, Sophie, Laird, John R., Pareek, Gyan, Miner, Martin, Sobel, David W., Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Frence, Nagy, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Kalra, Mannudeep

“…Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is important for the diagnosis of lung severity. The process of automated lung…”
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COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts by Suri, Jasjit S, Agarwal, Sushant, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S C, Columbu, Marta, Saba, Luca, Viskovic, Klaudija, Mehmedović, Armin, Agarwal, Samriddhi, Gupta, Lakshya, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, Khanna, Narendra N, Mavrogeni, Sophie, Laird, John R, Pareek, Gyan, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Nagy, Ferenc, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Paraskevas, Kosmas I, Kalra, Mannudeep K

“…(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020-2021…”
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COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans by Suri, Jasjit, Agarwal, Sushant, Chabert, Gian, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro, Saba, Luca, Mehmedović, Armin, Faa, Gavino, Singh, Inder, Turk, Monika, Chadha, Paramjit, Johri, Amer, Khanna, Narendra, Mavrogeni, Sophie, Laird, John, Pareek, Gyan, Miner, Martin, Sobel, David, Balestrieri, Antonella, Sfikakis, Petros, Tsoulfas, George, Protogerou, Athanasios, Misra, Durga, Agarwal, Vikas, Kitas, George, Teji, Jagjit, Al-Maini, Mustafa, Dhanjil, Surinder, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode, Nagy, Ferenc, Ruzsa, Zoltan, Fouda, Mostafa, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep

“…Background: COVID-19 is a disease with multiple variants, and is quickly spreading throughout the world. It is crucial to identify patients who are suspected…”
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Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography by Suri, Jasjit S, Agarwal, Sushant, Elavarthi, Pranav, Pathak, Rajesh, Ketireddy, Vedmanvitha, Columbu, Marta, Saba, Luca, Gupta, Suneet K, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, Khanna, Narendra N, Viskovic, Klaudija, Mavrogeni, Sophie, Laird, John R, Pareek, Gyan, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Ferenc, Nagy, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Kalra, Mannudeep K

“…: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial…”
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DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images by Sanga, Prabhav, Singh, Jaskaran, Dubey, Arun Kumar, Khanna, Narendra N., Laird, John R., Faa, Gavino, Singh, Inder M., Tsoulfas, Georgios, Kalra, Mannudeep K., Teji, Jagjit S., Al-Maini, Mustafa, Rathore, Vijay, Agarwal, Vikas, Ahluwalia, Puneet, Fouda, Mostafa M., Saba, Luca, Suri, Jasjit S.

“…Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions…”
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Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review by Suri, Jasjit S, Maindarkar, Mahesh A, Paul, Sudip, Ahluwalia, Puneet, Bhagawati, Mrinalini, Saba, Luca, Faa, Gavino, Saxena, Sanjay, Singh, Inder M, Chadha, Paramjit S, Turk, Monika, Johri, Amer, Khanna, Narendra N, Viskovic, Klaudija, Mavrogeni, Sofia, Laird, John R, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanase D, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Kolluri, Raghu, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Sockalingam, Meyypan, Saxena, Ajit, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Padukode R, Omerzu, Tomaz, Naidu, Subbaram, Nicolaides, Andrew, Paraskevas, Kosmas I, Kalra, Mannudeep, Ruzsa, Zoltán, Fouda, Mostafa M

“…: Parkinson's disease (PD) is one of the most serious, non-curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to predict…”
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Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review by Khanna, Narendra N, Maindarkar, Mahesh, Saxena, Ajit, Ahluwalia, Puneet, Paul, Sudip, Srivastava, Saurabh K, Cuadrado-Godia, Elisa, Sharma, Aditya, Omerzu, Tomaz, Saba, Luca, Mavrogeni, Sophie, Turk, Monika, Laird, John R, Kitas, George D, Fatemi, Mostafa, Barqawi, Al Baha, Miner, Martin, Singh, Inder M, Johri, Amer, Kalra, Mannudeep M, Agarwal, Vikas, Paraskevas, Kosmas I, Teji, Jagjit S, Fouda, Mostafa M, Pareek, Gyan, Suri, Jasjit S

“…The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic…”
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Pregnancy outcomes and vaccine effectiveness during the period of omicron as the variant of concern, INTERCOVID-2022: a multinational, observational study by Villar, Jose, Soto Conti, Constanza P, Gunier, Robert B, Ariff, Shabina, Craik, Rachel, Cavoretto, Paolo I, Rauch, Stephen, Gandino, Serena, Nieto, Ricardo, Winsey, Adele, Menis, Camilla, Rodriguez, Gabriel B, Savasi, Valeria, Tug, Niyazi, Deantoni, Sonia, Fabre, Marta, Martinez de Tejada, Begoña, Rodriguez-Sibaja, Maria Jose, Livio, Stefania, Napolitano, Raffaele, Maiz, Nerea, Sobrero, Helena, Peterson, Ashley, Deruelle, Philippe, Giudice, Carolina, Teji, Jagjit S, Casale, Roberto A, Salomon, Laurent J, Prefumo, Federico, Cheikh Ismail, Leila, Gravett, Michael G, Vale, Marynéa, Hernández, Valeria, Sentilhes, Loïc, Easter, Sarah R, Capelli, Carola, Marler, Emily, Cáceres, Daniela M, Albornoz Crespo, Guadalupe, Ernawati, Ernawati, Lipschuetz, Michal, Takahashi, Ken, Vecchiarelli, Carmen, Hubka, Teresa, Ikenoue, Satoru, Tavchioska, Gabriela, Bako, Babagana, Ayede, Adejumoke I, Eskenazi, Brenda, Thornton, Jim G, Bhutta, Zulfiqar A, Kennedy, Stephen H, Papageorghiou, Aris T

“…In 2021, we showed an increased risk associated with COVID-19 in pregnancy. Since then, the SARS-CoV-2 virus has undergone genetic mutations. We aimed to…”
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NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death by Teji, Jagjit S., Jain, Suneet, Gupta, Suneet K., Suri, Jasjit S.

“…The Neonatal mortality rate in the United States is 3.8 deaths per 1000 live births, which is comparably higher than other nations. The aim of the proposed…”
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Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0 by Agarwal, Mohit, Agarwal, Sushant, Saba, Luca, Chabert, Gian Luca, Gupta, Suneet, Carriero, Alessandro, Pasche, Alessio, Danna, Pietro, Mehmedovic, Armin, Faa, Gavino, Shrivastava, Saurabh, Jain, Kanishka, Jain, Harsh, Jujaray, Tanay, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Mavrogeni, Sophie, Laird, John R., Sobel, David W., Miner, Martin, Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Yadav, Rajanikant R., Nagy, Frence, Kincses, Zsigmond Tamás, Ruzsa, Zoltan, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep K., Suri, Jasjit S.

“…COVLIAS 1.0: an automated lung segmentation was designed for COVID-19 diagnosis. It has issues related to storage space and speed. This study shows that…”
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Maternal vaccination against COVID-19 and neonatal outcomes during Omicron: INTERCOVID-2022 study by Barros, Fernando C., Gunier, Robert B., Rego, Albertina, Sentilhes, Loïc, Rauch, Stephen, Gandino, Serena, Teji, Jagjit S., Thornton, Jim G., Kachikis, Alisa B., Nieto, Ricardo, Craik, Rachel, Cavoretto, Paolo I., Winsey, Adele, Roggero, Paola, Rodriguez, Gabriel B., Savasi, Valeria, Kalafat, Erkan, Giuliani, Francesca, Fabre, Marta, Benski, Anne Caroline, Coronado-Zarco, Irma Alejandra, Livio, Stefania, Ostrovska, Adela, Maiz, Nerea, Castedo Camacho, Fabiola R., Peterson, Ashley, Deruelle, Philippe, Giudice, Carolina, Casale, Roberto A., Salomon, Laurent J., Soto Conti, Constanza P., Prefumo, Federico, Mohamed Elbayoumy, Ehab Zakaria, Vale, Marynéa, Hernández, Valeria, Chandler, Katherine, Risso, Milagros, Marler, Emily, Cáceres, Daniela M., Crespo, Guadalupe Albornoz, Ernawati, Ernawati, Lipschuetz, Michal, Ariff, Shabina, Takahashi, Ken, Vecchiarelli, Carmen, Hubka, Teresa, Ikenoue, Satoru, Tavchioska, Gabriela, Bako, Babagana, Ayede, Adejumoke I., Eskenazi, Brenda, Bhutta, Zulfiqar A., Kennedy, Stephen H., Papageorghiou, Aris T., Villar, Jose

“…In early 2023, when Omicron was the variant of concern, we showed that vaccinating pregnant women decreased the risk for severe COVID-19–related complications…”
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Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation by Suri, Jasjit S., Agarwal, Sushant, Saba, Luca, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro, Mehmedović, Armin, Faa, Gavino, Jujaray, Tanay, Singh, Inder M., Khanna, Narendra N., Laird, John R., Sfikakis, Petros P., Agarwal, Vikas, Teji, Jagjit S., R Yadav, Rajanikant, Nagy, Ferenc, Kincses, Zsigmond Tamás, Ruzsa, Zoltan, Viskovic, Klaudija, Kalra, Mannudeep K.

“…Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy paving can compromise the ability of solo-deep learning (SDL) or…”
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Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort by Cuadrado-Godia, Elisa, Maniruzzaman, Md, Araki, Tadashi, Puvvula, Anudeep, Jahanur Rahman, Md, Saba, Luca, Suri, Harman S., Gupta, Ajay, Banchhor, Sumit K., Teji, Jagjit S., Omerzu, Tomaž, Khanna, Narendra N., Laird, John R., Nicolaides, Andrew, Mavrogeni, Sophie, Kitas, George D., Suri, Jasjit S.

“…This study examines the association between six types of carotid artery disease image-based phenotypes and HbA1c in diabetes patients. Six phenotypes…”
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Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review by Khanna, Narendra N, Singh, Manasvi, Maindarkar, Mahesh, Kumar, Ashish, Johri, Amer M., Mentella, Laura, Laird, John R, Paraskevas, Kosmas I., Ruzsa, Zoltan, Singh, Narpinder, Kalra, Mannudeep K., Fernandes, Jose Fernandes E., Chaturvedi, Seemant, Nicolaides, Andrew, Rathore, Vijay, Singh, Inder, Teji, Jagjit S., Al-Maini, Mostafa, Isenovic, Esma R., Viswanathan, Vijay, Khanna, Puneet, Fouda, Mostafa M., Saba, Luca, Suri, Jasjit S.

“…Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The relationship between external risk factors and our genetics have not…”
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Risk factors of neonatal mortality and child mortality in Bangladesh by Maniruzzaman, Md, Suri, Harman S, Kumar, Nishith, Abedin, Md Menhazul, Rahman, Md Jahanur, El-Baz, Ayman, Bhoot, Makrand, Teji, Jagjit S, Suri, Jasjit S

“…Child and neonatal mortality is a serious problem in Bangladesh. The main objective of this study was to determine the most significant socio-economic factors…”
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Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study by Khanna, Narendra N, Maindarkar, Mahesh A, Viswanathan, Vijay, Puvvula, Anudeep, Paul, Sudip, Bhagawati, Mrinalini, Ahluwalia, Puneet, Ruzsa, Zoltan, Sharma, Aditya, Kolluri, Raghu, Krishnan, Padukone R, Singh, Inder M, Laird, John R, Fatemi, Mostafa, Alizad, Azra, Dhanjil, Surinder K, Saba, Luca, Balestrieri, Antonella, Faa, Gavino, Paraskevas, Kosmas I, Misra, Durga Prasanna, Agarwal, Vikas, Sharma, Aman, Teji, Jagjit S, Al-Maini, Mustafa, Nicolaides, Andrew, Rathore, Vijay, Naidu, Subbaram, Liblik, Kiera, Johri, Amer M, Turk, Monika, Sobel, David W, Miner, Martin, Viskovic, Klaudija, Tsoulfas, George, Protogerou, Athanasios D, Mavrogeni, Sophie, Kitas, George D, Fouda, Mostafa M, Kalra, Mannudeep K, Suri, Jasjit S

“…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)…”
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Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review by Singh, Manasvi, Kumar, Ashish, Khanna, Narendra N., Laird, John R., Nicolaides, Andrew, Faa, Gavino, Johri, Amer M., Mantella, Laura E., Fernandes, Jose Fernandes E., Teji, Jagjit S., Singh, Narpinder, Fouda, Mostafa M., Singh, Rajesh, Sharma, Aditya, Kitas, George, Rathore, Vijay, Singh, Inder M., Tadepalli, Kalyan, Al-Maini, Mustafa, Isenovic, Esma R., Chaturvedi, Seemant, Garg, Deepak, Paraskevas, Kosmas I., Mikhailidis, Dimitri P., Viswanathan, Vijay, Kalra, Manudeep K., Ruzsa, Zoltan, Saba, Luca, Laine, Andrew F., Bhatt, Deepak L., Suri, Jasjit S.

“…The field of precision medicine endeavors to transform the healthcare industry by advancing individualised strategies for diagnosis, treatment modalities, and…”
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Abstract 153: High Ambient Temperature During Pregnancy Predicts Vascular Disease in the Offspring as Adult by Teji, Jagjit S, Eldeirawi, Kamal

“…Abstract only Introduction and Purpose It well known that being small at birth is a risk factor for hypertension and obesity and diabetes related disorders of…”
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