ADMIT
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'American Database for Medical Implant Transparency (ADMIT)Medical implants are now an integral part of public health in the United States. However, the last few years have brought several controversies regarding their regulation, considering the large number of deleterious effects reported by patients. Some authors even denounce the lack of rigour and transparency in the process of marketing medical implants as well as in the reporting of data. This data verse aims to address these shortcomings by introducing the American Database for Medical Implant Transparency (ADMIT). This database integrates data from multiple governmental sources to characterize the entire process by which medical implants are approved by the FDA, ranging from approval path (PMA/510(k)), clinical trials, adverse events and recalls. The exploitability of ADMIT has' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["medical devices, implants, FDA, clinical trials, adverse events, recalls, medical disinformation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'American Database for Medical Implant Transparency (ADMIT)Medical implants are now an integral part of public health in the United States. However, the last few years have brought several controversies regarding their regulation, considering the large number of deleterious effects reported by patients. Some authors even denounce the lack of rigour and transparency in the process of marketing medical implants as well as in the reporting of data. This data verse aims to address these shortcomings by introducing the American Database for Medical Implant Transparency (ADMIT). This database integrates data from multiple governmental sources to characterize the entire process by which medical implants are approved by the FDA, ranging from approval path (PMA/510(k)), clinical trials, adverse events and recalls. The exploitability of ADMIT has' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
American Database for Medical Implant Transparency (ADMIT)Medical implants are now an integral part of public health in the United States. However, the last few years have brought several controversies regarding their regulation, considering the large number of deleterious effects reported by patients. Some authors even denounce the lack of rigour and transparency in the process of marketing medical implants as well as in the reporting of data. This data verse aims to address these shortcomings by introducing the American Database for Medical Implant Transparency (ADMIT). This database integrates data from multiple governmental sources to characterize the entire process by which medical implants are approved by the FDA, ranging from approval path (PMA/510(k)), clinical trials, adverse events and recalls. The exploitability of ADMIT has
medical devices, implants, FDA, clinical trials, adverse events, recalls, medical disinformation