New AI Tool Can Assess Your Risk of Obesity-related Health Conditions by Predicting Your Waist Circumference
Researchers at The Johns Hopkins University have discovered a more accurate method of identifying patients’ obesity risk using artificial intelligence and machine learning, providing an alternative to the long-used body mass index (BMI).
The study, which was led by Carl Harris, a biomedical engineering student, and Prasanna Santhanam, an associate professor in the Division of Endocrinology, Diabetes, and Metabolism, with contributions from a biomedical engineering student Daniel Olshvang, underscores the potential of artificial intelligence in the treatment of obesity.
Read more: https://nextdigitalhealth.com/healthcaretechnology/research/new-ai-tool-can-assess-your-risk-of-obesity-related-health-conditions-by-predicting-your-waist-circumference/
#HealthcareNews #healthcareinnovation #HealthcareTechnology #Ai #HealthcareResearch #nextdigitalhealth #vineetagrawal #Wi4
Researchers at The Johns Hopkins University have discovered a more accurate method of identifying patients’ obesity risk using artificial intelligence and machine learning, providing an alternative to the long-used body mass index (BMI).
The study, which was led by Carl Harris, a biomedical engineering student, and Prasanna Santhanam, an associate professor in the Division of Endocrinology, Diabetes, and Metabolism, with contributions from a biomedical engineering student Daniel Olshvang, underscores the potential of artificial intelligence in the treatment of obesity.
Read more: https://nextdigitalhealth.com/healthcaretechnology/research/new-ai-tool-can-assess-your-risk-of-obesity-related-health-conditions-by-predicting-your-waist-circumference/
#HealthcareNews #healthcareinnovation #HealthcareTechnology #Ai #HealthcareResearch #nextdigitalhealth #vineetagrawal #Wi4
New AI Tool Can Assess Your Risk of Obesity-related Health Conditions by Predicting Your Waist Circumference
Researchers at The Johns Hopkins University have discovered a more accurate method of identifying patients’ obesity risk using artificial intelligence and machine learning, providing an alternative to the long-used body mass index (BMI).
The study, which was led by Carl Harris, a biomedical engineering student, and Prasanna Santhanam, an associate professor in the Division of Endocrinology, Diabetes, and Metabolism, with contributions from a biomedical engineering student Daniel Olshvang, underscores the potential of artificial intelligence in the treatment of obesity.
Read more: https://nextdigitalhealth.com/healthcaretechnology/research/new-ai-tool-can-assess-your-risk-of-obesity-related-health-conditions-by-predicting-your-waist-circumference/
#HealthcareNews #healthcareinnovation #HealthcareTechnology #Ai #HealthcareResearch #nextdigitalhealth #vineetagrawal #Wi4