Zobrazeno 1 - 10
of 23
pro vyhledávání: '"J.3.2"'
Recent research has demonstrated the capability of physiological signals to infer both user emotional and attention responses. This presents an opportunity for leveraging widely available physiological sensors in smartwatches, to detect real-time emo
Externí odkaz:
http://arxiv.org/abs/2407.09911
Autor:
Yousefi, Milad, Maleki, Shadi Farabi, Jafarizadeh, Ali, Youshanlui, Mahya Ahmadpour, Jafari, Aida, Pedrammehr, Siamak, Alizadehsani, Roohallah, Tadeusiewicz, Ryszard, Plawiak, Pawel
Thyroid cancer is an increasing global health concern that requires advanced diagnostic methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this review. A review of multiple databases was conducted in compliance wi
Externí odkaz:
http://arxiv.org/abs/2404.07239
Autor:
Bazargani, Yasin Sadeghi, Mirzaei, Majid, Sobhi, Navid, Abdollahi, Mirsaeed, Jafarizadeh, Ali, Pedrammehr, Siamak, Alizadehsani, Roohallah, Tan, Ru San, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagnose DM complications, including diabetic retinopathy (DR), neuropathy,
Externí odkaz:
http://arxiv.org/abs/2402.18600
Autor:
Jafarizadeh, Ali, Maleki, Shadi Farabi, Pouya, Parnia, Sobhi, Navid, Abdollahi, Mirsaeed, Pedrammehr, Siamak, Lim, Chee Peng, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Islam, Sheikh Mohammad Shariful, Acharya, U. Rajendra
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While semi-automated systems have been used in the past to diagnose ROP-
Externí odkaz:
http://arxiv.org/abs/2402.09975
Autor:
Abdollahi, Mirsaeed, Jafarizadeh, Ali, Asbagh, Amirhosein Ghafouri, Sobhi, Navid, Pourmoghtader, Keysan, Pedrammehr, Siamak, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Acharya, U. Rajendra
Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related topics. Th
Externí odkaz:
http://arxiv.org/abs/2311.07609
Autor:
Appadoo, Owen Kevin, Rositi, Hugo, Valarier, Sylvie, Ombret, Marie-Claire, Gadéa, Émilie, Barret-Grimault, Christine, Lohou, Christophe
The release of Microsoft's HoloLens headset addresses new types of issues that would have been difficult to design without such a hardware. This semi-transparent visor headset allows the user who wears it to view the projection of 3D virtual objects
Externí odkaz:
http://arxiv.org/abs/2303.13079
Autor:
Wang, Hanchen David, Ma, Meiyi
Physical therapy (PT) is crucial for patients to restore and maintain mobility, function, and well-being. Many on-site activities and body exercises are performed under the supervision of therapists or clinicians. However, the postures of some exerci
Externí odkaz:
http://arxiv.org/abs/2211.08245
Autor:
Rolle, Braxton, Kiran, Ravi
The outbreak of COVID-19 within the last two years has resulted in much further investigation into the safety of large events that involve a gathering of people. This study aims to investigate how COVID-19 can spread through a large crowd of people s
Externí odkaz:
http://arxiv.org/abs/2211.00067
Falls are common in people with Parkinson's disease (PD) and have detrimental effects which can lower the quality of life. While studies have been conducted to learn about falling in general, factors distinguishing injurious from non-injurious falls
Externí odkaz:
http://arxiv.org/abs/1910.02379
Falls are detrimental to people with Parkinson's Disease (PD) because of the potentially severe consequences to the patients' quality of life. While many studies have attempted to predict falls/non-falls, this study aimed to determine factors related
Externí odkaz:
http://arxiv.org/abs/1910.01864