Estimating patient's clinical state from multiple concurrent physiological streams plays an important role in determining if a therapeutic intervention is necessary and for triaging patients in the hospital. In this paper we construct a non-parametric learning algorithm to estimate the clinical state of a patient. The algorithm addresses several known challenges with clinical state estimation such as eliminating bias introduced by therapeutic intervention censoring, increasing the timeliness of state estimation while ensuring a sufficient accuracy, and the ability to detect anomalous clinical states. These benefits are obtained by combining the tools of non-parametric Bayesian inference, permutation testing, and generalizations of the empirical Bernstein inequality. The algorithm is validated using real-world data from a cancer ward in a large academic hospital.

A drone attack on a busy market in western Sudan has killed 11 people and wounded dozens more, including children, as the United Nations warns that the country's rapidly escalating air wars have claimed more than 200 civilian lives in little over a week. The attack on Adikong market, near Sudan's border with Chad, ignited fuel reserves and sent flames tearing through the area on Thursday. MSF described it as the second deadly drone attack on the same area in less than a month. Drones have become a key weapon used by both sides in the war between the Sudanese Armed Forces (SAF) and the paramilitary Rapid Support Forces that began in April 2023. UN Human Rights Chief Volker Turk said on Thursday he was appalled by the scale of intensifying aerial assaults on civilians in the war, warning that more than 200 people had been killed by drones across the Kordofan region and White Nile state since March 4 alone.

A London doctor controlled robotic surgical arms in Gibraltar to perform prostate cancer telesurgery in near real time from 1,500 miles away.

Parents in north London have been told their children could be excluded from school if they are not fully vaccinated against measles amid an outbreak of the highly-contagious disease. Unvaccinated pupils identified as close contacts of people with measles could be excluded for 21 days in accordance with national guidelines, Enfield Council said in a letter to all parents in the borough in late January. At least 34 children have contracted measles in Enfield so far this year, the UK Health Security Agency (UKHSA) has said, and a number sent to hospital. A local health chief meanwhile told the BBC: We are worried because actually, this is a significantly increased number than what we're used to. Asking unvaccinated, close contacts of measles cases to stay off school is fairly standard practice when there are local outbreaks.

How The Pitt's AI Drama is Playing Out in Real Hospitals In Thursday's episode of The Pitt, the long-simmering tensions over the use of AI at the Pittsburgh Trauma Medical Center boiled over. In season two of the five-time Emmy winning medical drama, a new attending physician, Baran Al-Hashimi (Sepideh Moafi), is determined to improve efficiencies at the hospital. She tells her skeptical staff that new AI systems can cut down their time spent on charting by 80%, allowing them to spend more time both at the bedside and at home. But in episode six, doctors discover that the AI tool has made up false details about a patient and confused "urology" for "neurology." "AI's two percent error rate is still better than dictation," Al-Hashimi says, adding that it needs to be proofread for errors.

Assume the conditions in Proposition 1 hold.

As a result, it is a massive bottleneck for the users to fully utilize the information stored inthe EHR.

Machine learning models will often fail when deployed in an environment with a data distribution that is different than the training distribution.