Department of Medicine, Imperial College London, London, England
Dr. Benson A. Babu is a distinguished physician specializing in internal medicine, with a notable focus on integrating artificial intelligence (AI) into healthcare. He earned his medical degree from the Cleveland Clinic and further enhanced his expertise by obtaining an MBA from the University of Tennessee, emphasizing Lean Six Sigma clinical improvement methods. Dr. Babu practices hospital medicine in New York and is recognized for his contributions to AI-driven healthcare solutions. He authored "Advanced Provider Assistance Systems: Autonomous AI," exploring the transformative impact of AI on clinical workflows. Additionally, he co-authored a study titled "Computer Vision and Abnormal Patient Gait Assessment: A Comparison of Machine Learning Models," highlighting the application of computer vision in assessing patient gait abnormalities. Dr. Babu's work underscores his commitment to advancing medical practice through technological innovation.
Research Article
Classic versus Deep Learning Computer Vision Methods CT Scan Lung Cancer Detection: Meta-Analysis
Author(s): Benson A. Babu*
Lung cancer is the number one cause of cancer-related deaths in the United States and worldwide. It also has this
highest burden of cost globally. The current state of the healthcare system and physicians alike are under considerable
financial and operative pressure; thus at high risk for burn out. Computer-aided diagnosis systems can assist
physicians in the medical decision-making process during patient care, as well as improving hospital operative
efficiency while reducing burn out.
Methods: A total of 638 studies were extracted. 62 (9.7%) deep learning and 83 (13%) classic learning methods out
of the 638 total cross-sectional studies were selected based on the study eligibility protocol. I2 measure of consistency/
heterogeneity was applied to the results of random-effects meta-analysis. Based on this selected model studies, the
mean ac.. View more»