Medical Director / President L-MARC Research Center
This presentation will provide clinicians a brief scientific overview of 10 of the most controversial topics covered, discussed, and published in OMA’s Clinical Practice Statements, including:
(1) If obesity a disease, then what is the potential for Artificial Intelligence (AI) to enhance care of patients with obesity, similar to how AI is being employed to help manage other diseases? (2) Is body mass index racist, sexist, or both? (3) Is body weight simply due to “calories in versus calories out” (i.e., do calories really matter)? (4) Do individuals with obesity have lower metabolism, while lean people have higher metabolism? (5) Are individuals predestined to develop obesity due to an unalterable “setpoint?” (6) Is obesity due to a lack of willpower? (7) How does obesity cause diabetes, hypertension, dyslipidemia, cardiovascular disease, and cancer and how does an adipocentric paradigm support the principle of "treat obesity first"? (8) Is “be inefficient” the two-word key towards “curing” or preventing obesity? (9) What is the evidence that treatment of obesity can lead to remission of metabolic diseases such as diabetes mellitus? (10) What is the rationale to use medications to treat obesity, if weight is often regained once anti-obesity medications are stopped?
Learning Objectives:
Describe the scientific foundations how obesity is a disease that results in the most common complications encountered in clinical practice (diabetes, hypertension, dyslipidemia, cardiovascular disease, and cancer.
Separate fact from fiction regarding the science behind the development of a medical management plan for the treatment of obesity.
Apply emerging technologies (e.g., Artificial Intelligence) in clinically practical ways towards enhancing obesity management.
