Author Archives for zain
June 16, 2023 12:23 pm Published by zain Authors: Amina Khalpey, PhD, Kirtana Roopan, Zain Khalpey, MD, PhD, FACS Machine learning tools in healthcare are rapidly gaining popularity as a means of improving accuracy and efficiency in diagnosing and predicting diseases, including cardiovascular disease (CVD). However, questions have arisen as to the reliability of these tools in people of color, who are often [...]
June 16, 2023 11:59 am Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell, DO, Jessa Deckwa, BS, Kirtana Roopan, Zain Khalpey, MD, PhD, FACS In recent years, there has been a significant increase in the use of Artificial Intelligence (AI) in healthcare. With the advancement in machine learning algorithms, AI has shown potential in the early detection, diagnosis, and treatment of various [...]
May 24, 2023 11:44 pm Published by zain Authors: Amina Khalpey, PhD, Kirtana Roopan, Jessa Deckwa, BS, and Zain Khalpey, MD, PhD, FACS Abstract Data labeling is a critical facet of AI in healthcare. Its significance grows in parallel with our reliance on machine learning and other AI technologies. This paper illuminates the role of data labeling in healthcare, outlines the risks of [...]
May 22, 2023 7:43 pm Published by zain Authors: Jessa Deckwa, BS, Mayur Bhakta, MD, & Zain Khalpey, MD, PhD, FACS Abstract The rapid advancements in artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize healthcare delivery by enabling value-based care models that prioritize patient outcomes and cost efficiency. This white paper examines the role of AI and ML in [...]
May 15, 2023 5:11 am Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell, DO, Zain Khalpey, MD, PhD, FACS Physician burnout is a syndrome characterized by emotional exhaustion, depersonalization, and a reduced sense of personal accomplishment. It is a common problem among healthcare providers and has been recognized as a public health crisis. Burnout can occur when the demands of work exceed [...]
May 15, 2023 4:22 am Published by zain Authors: Amina H Khalpey, PhD, Antoni Macko, PhD, Zain Khalpey, MD, PhD, FACS Quantum computing has long been touted as the next revolution in computing technology, offering unprecedented processing power and the ability to solve problems beyond the reach of classical computers. Machine learning has also been making significant strides in healthcare, with applications ranging [...]
May 15, 2023 4:04 am Published by zain Authors: Amina Khalpey, PhD, Ujjawal Kumar, BA, Zain Khalpey, MD, PhD, FACS Artificial intelligence (AI) has been making significant strides in healthcare, in areas including: improving the accuracy of medical diagnoses, predicting diseases, and identifying treatment options. While these technological advancements hold great potential to improve outcomes in healthcare and patient care, many people are [...]
May 15, 2023 3:45 am Published by zain Authors: Amina Khalpey, PhD, Ujjawal Kumar, BA, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS With the development and advances in AI technology, its potential utility in healthcare at the bedside is apparent. However, there are multiple problems with its implementation at the bedside. The Challenge of Integrating AI With Existing Healthcare Infrastructure One significant [...]
May 10, 2023 5:48 pm Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell, BS, Ujjawal Kumar, BA, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS Machine learning (ML) algorithms have revolutionized the field of healthcare by enabling the analysis of vast amounts of data, much greater than what is possible by human processing. The use of ML algorithms is now possible to [...]
May 10, 2023 5:11 pm Published by zain Authors: Amina Khalpey, PhD, Brynne Rozell, BS, Zain Khalpey, MD, PhD, FACS Generative AI is a branch of Artificial Intelligence that focuses on generating new data or insights based on a given set of input data or criteria. Generative AI techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Belief Networks (DBNs) [...]
