Author Archives for zain
March 7, 2023 4:35 pm Published by zain Authors: Amina Khalpey, PhD, Ezekiel Mendoza BS, Brynne Rozell BS, Zain Khalpey, MD, PhD, FACS Augmented reality (AR) refers to the use of technology to superimpose digital information onto the physical world. When combined with real-time applied machine learning algorithms, AR has the potential to revolutionize the field of surgery by enabling surgeons to access [...]
March 7, 2023 3:37 pm Published by zain Authors: Amina Khalpey, PhD, Solmaz Rashidi, MBA, Brynne Rozell, BS, Ben Taylor, BSc, PhD, Zain Khalpey, MD, PhD, FACS Reinforcement learning (RL) is a branch of machine learning, which in turn, is a branch of artificial intelligence that enables machines to learn from their experiences and make decisions based on trial and error. RL models [...]
March 2, 2023 11:42 am Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell BS, Zain Khalpey, MD, PhD Artificial intelligence (AI) has made significant strides in healthcare over the past few years, with advancements in machine learning, natural language processing, and computer vision leading to the development of innovative solutions for medical diagnosis, treatment planning, and patient care. One of the most [...]
March 2, 2023 11:31 am Published by zain Authors: Amina Khalpey PhD, Parker Wilson BS, Brynne Rozell BS, Zain Khalpey MD, PhD, FACS In recent years, healthcare has increasingly adopted digital health solutions that have, in general, improved efficiency and effectivity, including electronic medical records, laboratory technologies and surgical tools. However, there is a growing concern over the privacy and security of the [...]
March 2, 2023 11:17 am Published by zain Authors: Amina Khalpey, PhD, Zeke Mendoza, BS, Brynne Rozell BS, Zain Khalpey, MD, PhD An anti-inflammatory diet is beneficial for surgery patients because it has been shown to reduce inflammation in the body, which can help to reduce post-surgical pain and swelling. Additionally, an anti-inflammatory diet can help to improve the patient’s overall health and [...]
March 2, 2023 10:56 am Published by zain Authors: Amina Khalpey, PhD, Ujjawal Kumar BA, Brynne Rozell BS, Zain Khalpey, MD, PhD Multimodality cardiac imaging plays a crucial role in the diagnosis, investigation and management of cardiovascular diseases, and machine learning algorithms have the potential to significantly augment clinical decision making in this field. In this blog, we will explore the various areas [...]
March 2, 2023 10:46 am Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell BS, Zain Khalpey, MD, PhD Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. According to the World Health Organization (WHO), CVD accounts for 17.9 million deaths annually, making it the leading cause of death globally. The diagnosis and treatment of CVD have traditionally relied on [...]
March 1, 2023 7:29 pm Published by zain Authors:Authors: Amina Khalpey, PhD, Brynne Rozell BS, Zain Khalpey, MD, PhD, FACS Machine Learning (ML) is a type of AI that is focused on the development of computer programs that can access data and use it to learn for themselves. In ML, algorithms are used to learn from data without being explicitly programmed. This allows [...]
February 25, 2023 1:30 am Published by zain Authors: Amina H Khalpey, PhD, Zeke Mendoza, Brynne Rozell BS, Zain Khalpey, MD, PhD Atrial fibrillation (AF) is a common complication following cardiac surgery, with an incidence ranging from 10-30%. AF is associated with increased morbidity, including stroke, heart failure, and prolonged hospitalization, as well as increased mortality. Frailty is a state of vulnerability characterized [...]
February 25, 2023 1:15 am Published by zain Authors: Amina H Khalpey, PhD, Zain Khalpey, MD, PhD, Brynne Rozell BS, Timothy Ruchti The evolution of illness leading up to a clinical event is often gradual and entrained across multiple physiological systems. Human observers generally do not have the ability to recognize the time series of patterns within patient measurement data prior to deterioration. [...]