Objectives and Scope for activities under 42 U.S.C 300 u ; secretary of health and human services has which authorizes supportive programs and appropriations of said activities in the following domains in public health (1) health education (2) application of health knowledge and the increasing of health patterns in activities of daily living . But wheres the Beef?. For the exploration ,development ,demonstration and evaluation of innovative health promotion concepts under title XVII Section 1701 of public health service act we first need too understand that rather then viewing these particular areas as concepts we can already scale up these areas of desired undertaking to due diligence (Healthy People 2030) One area in particular where new concepts can be readily applied are in AI and Nuclear Medicine . In the article entitled " Rising to the Challenge of Artificial Intelligence in Healthcare " written by authors Catazano & Lin they carefully illustrate the correct application of AI to health care settings; and disciplines . In harnessing the potencial of artificial intelligence and applying these concepts to radiology we can improve Computer Vision to harness algorithms which are among the most difficult concepts that human analysis can grasp only because these observance of said phenomena and tractable patterns must be keenly observed for long periods of time to then be desifferd and applied to algorithm . These algorithms when created must then be reviewed by the scientific community , validated applied to health care settings and patented. As one who has created algorithms in environmental health and in neurological processes I can say that the work involved is tedious , time consuming and the scientist must be extremely dedicated to the task which can takes up to a year to complete . The promise of AI applied to radiology yields the following benefits to public health fine detail in diagnostics , machine learning , and image analysis . The processes can aid in mitigating issue in diagnostics related to false positives and or false negative results in radiológic image such as occurs with BKP or Bronchial-pneumonia and Tuberculosis ( Catazano & LIn ,2019). Analysis of these radio graphic images can be time consuming and tedious particularly for a physician in an emergency department with a heavy case load or in surge capacity . Objectives and Scope for activities under 42 U.S.C 300u seretary of health and human service was further undertaken by Healthy People and ODPHP during data subcommittee initiatives where the subcommittee in coordination with USALEEP , Food Net , Public Alliance commissioned further determination of 2030 initiatives in accountability , surveillance and decision making by credible sources to strengthen data partnership infrastructure to meet challenges in the items above mentioned. Examples of scale up applications in AI were here described in Ophthalmology and Radiology .
References
Catazano , T.M & Lin ,E.C (2019) Rising to the Challenges of Artificial Intelligence in Healthcare .
Secretary's Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2030 .Healthy People 2030
