Latest AI and machine learning research in us health policy for healthcare professionals.
OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare beneficiaries at risk of severe respiratory infections in community and postacute settings by (1) identifying individuals in a community setting at risk of infections resulting in emergent hospitalization and (2) matching individuals in a postacute setting to skilled nursing facilities (SNFs) that are likel...
Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products is its ability to improve its original program and decision-making algorithms via deep learning abilities. This difference is the reason that AI technology stands out from the ethical issues of other ...
Rapid development in computer technology has led to sophisticated methods of analyzing large datasets with the aim of improving human decision making....
Artificial intelligence offers the promise to revolutionize the way healthcare is delivered in the future. To capitalize on the value of advanced anal...
As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints o...
OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are du...
We estimate the causal effects of acute fine particulate matter exposure on mortality, health care use, and medical costs among the US elderly using M...
IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs...
Recent advances in machine learning and artificial intelligence offer promising applications to radiology quality improvement initiatives as they rela...
Over the last decade, active lower-limb prostheses demonstrated their ability to restore a physiological gait for transfemoral amputees by supplying t...
Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of dom...
To diagnose postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)during early post operative days, we evaluatedwhether a change in d...
Human level recall performance in detecting breast cancer considering microcalcifications from mammograms has a recall value between 74.5% and 92.3%. ...
OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority o...
There is much interest in form-fitting, low-modulus, implantable devices or soft robots that can mimic or assist in complex biological functions such ...
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for...
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the di...
Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decrease costs by providing quality metrics, discovering ...
Perioperative bleeding (PB) is associated with increased patient morbidity and mortality, and results in substantial health care resource utilization....