no code implementations • 4 Dec 2023 • Seth Adler, Farzan Vahedifard, Rachel Akers, Christopher Sica, Mehmet Kocak, Edwin Moore, Marc Minkus, Gianna Elias, Nikhil Aggarwal, Sharon Byrd, Mehmoodur Rasheed, Robert S. Katz
Fibromyalgia is a complicated and multifaceted disorder marked by widespread chronic pain, fatigue, and muscle tenderness.
no code implementations • 17 Nov 2023 • Farzan Vahedifard, Xuchu Liu, Mehmet Kocak, H. Asher Ai, Mark Supanich, Christopher Sica., Kranthi K Marathu, Seth Adler, Maysam Orouskhani, Sharon Byrd
Aim: This study introduced a novel application of artificial intelligence (AI) for automated brain segmentation in fetal brain fMRI, magnetic resonance imaging (fMRI).
no code implementations • 16 Nov 2023 • Atieh Sadeghniiat-Haghighi, Arezu Najafi, Khosro Sadeghniiat Haghighi, Arghavan Shafiee-Aghdam, Farzan Vahedifard, Fatemeh Hoshyar Zare, Maryam Tolouei Shivyari, Mohammad Tolouei
This study explores the effectiveness of supportive psychotherapy, specifically Cognitive-Behavioral Therapy for Insomnia (CBT-I), in managing COVID-19-induced insomnia among patients and hospital staff.
no code implementations • 15 Nov 2023 • Farzan Vahedifard, Atieh Sadeghniiat Haghighi, Tirth Dave, Mohammad Tolouei, Fateme Hoshyar Zare
Artificial Intelligence (AI) has revolutionized various fields, including medicine and mental health support.
no code implementations • 17 May 2023 • Marziyeh Rezaei, Sevda Molani, Negar Firoozeh, Hossein Abbasi, Farzan Vahedifard, Maysam Orouskhani
Du e to rapid population growth and the need to use artificial intelligence to make quick decisions, developing a machine learning-based disease detection model and abnormality identification system has greatly improved the level of medical diagnosis Since COVID-19 has become one of the most severe diseases in the world, developing an automatic COVID-19 detection framework helps medical doctors in the diagnostic process of disease and provides correct and fast results.