
Bernard Kerik, New York's Police Commissioner on 9/11, Dies at 69
His family said he died in a hospital, where he was being treated for heart disease. He had been hospitalized with skin cancer last year.
A cocksure high school dropout with a black belt in karate, shaved head and bulging biceps, Mr. Kerik vaulted to senior public posts as a disciple of Rudolph W. Giuliani after serving as Mr. Giuliani's bodyguard during his successful 1993 mayoral campaign.
In 1997, after Mr. Kerik had risen through the ranks of the Police Department from a street cop in Times Square and narcotics investigator, Mr. Giuliani promoted him to correction commissioner. In that position, he curbed sick-time abuse by prison guards and reduced violence by inmates.
Mr. Kerik's appointment as police commissioner in August 2000 was not well received, in part because he had been so rapidly promoted despite his lack of a college degree, which uniformed police officers ordinarily needed for promotion to captain and above. His highest rank before becoming commissioner was detective third grade. He later went on to earn a degree in 2002.
During his 16-month tenure as police commissioner, crime continued the decline that had been largely achieved by two of his predecessors, Raymond W. Kelly and William J. Bratton. Morale among officers improved. So did relations between the department and Black and Hispanic New Yorkers who had been alienated by incidents of police abuse.
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Fast Company
20 minutes ago
- Fast Company
Philips CEO Jeff DiLullo on how AI is changing healthcare today
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There's a lot of talk about it, but in some businesses, I feel like the conversation about it is ahead of the actual implementation or the impact, and I'm curious how true that might be in medtech. How is AI impacting things now, today, versus what you think it can do in the future? If you remember, we released the Future of Health Index. One of the things that we realized is that AI, in some of these compartments I'm talking about, is quite mature. FDA cleared, very safe for clinical use. Other areas, it's more experimental. But the trust factor of the use of that AI is actually quite nascent. It's the biggest barrier right now to larger scale deployment. Yeah. That health index that you mentioned, the 2025 Future Health Index, I mean, there was this sort of trust gap in it, right? That something like 60, 65% of clinicians trust AI, but only about a third of patients or certainly older patients do. How do you bridge that gap? Is it Philips's job to bridge that gap? Whose job is it? So I have the benefit of having two Gen Zs and a millennial, they are digitally fluid. They don't worry at all about the AI models that are coming on the other side of this because they're used to it and they understand it. Older patients, not so much. The magic is always the healthcare practitioner that's directly interfacing with the customers or the patients. If they believe what they're doing, if they know it's credible, if they're using it to augment their analysis or their diagnostics, not replacing it, I think ultimately we'll see an uplift. It's our job to provide valid FDA-cleared, very good diagnostic capability leveraging AI. But if our doctors and nurses believe what we're doing and they see the value in increasing their time with patients and also a little de-stressing, we think it's going to really pick up in a parabolic way in the next few years, at least in health. I can understand and see how AI can quickly help some of the back office functionality in healthcare, but you're talking about for practitioners, right? How does that practically work today? So I'm going to give you, let's talk radiology. It's the biggest field right now, diagnostic, right? The earlier the diagnostic, the better the outcome most likely. And when I think of a radiologist, I have to wait a month and a half. I'm in a pretty nice part of Vanderbilt University area, like a lot of health tech around me in Nashville, but I've got to wait over a month to get a scan. So in radiology, we start with the box or the design, right? I have an MRI that is highly efficient. I can move it around, I can put it on a truck. But today, I can get a scan done in half or even a third of the time. The AI built into the system software makes it much faster. Just a few months ago, I had a scan that took only 20 minutes—whereas a couple of years ago, the same scan would have taken about 45 minutes. The smart speed that we have on the system actually compresses the scanning time. It doesn't fill in the blanks, it removes the noise. You actually get a better scan in a shorter time. If you're a radiologist having to do 12 or 15 studies a day, but you can do 20 studies a day, I get more patients through, I drive more reimbursement, it's better for the hospital, it's better for patient care. Then I take it into workflow, and today I can pinpoint things that are happening in that digital image and send it to a radiologist and say, 'You should look here,' in just very simple speak. It's very complicated stuff, but the AI is already mainstream today where we can actually pinpoint areas for radiologists to look at and make a determination. I can digitize the whole process today with digital pathology. And I can have a finding where somebody's waiting, do I have cancer or not? I can do this in hours now because it's all digital. And that kind of workflow and orchestration is a game changer. And the issue of AI hallucinations, which show up with some of the generative AI things, does that apply to healthcare? Are there different kinds of safeguards? Because I guess there's a human who's checking. There's so many things today, like smart speed I just talked about, being able to run that radiology workflow to compress the time of diagnostics, run the tumor boards in hours, on-demand meetings like you and I would on Zoom or teams, all of that is happening today, but not happening at the pace it could. My point is, go do that right now. Every health system, go do that. As you start to unpack these more generative AI models, I think there's real reason to be cautious and make sure we have the right controls and the governance on them, but not experimenting in them also is not an option. 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CBS News
21 minutes ago
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Associated Press
21 minutes ago
- Associated Press
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