#ai-in-healthcare

#ai-in-healthcare

In the UK, artificial intelligence (AI) is no longer a buzzword reserved for tech conferences and research labs - it's an engine driving tangible transformation across industries. Healthcare, in particular, stands at the forefront of this change. From automating administrative tasks to accelerating medical research, AI is creating opportunities for both the public and private sectors to work smarter and more efficiently. A new era of intelligent healthcare solutions

When implemented effectively, the healthcare LMS benefits extend far beyond training. It enhances clinical decision-making, minimizes human errors, and fosters continuous professional development. AI-driven analytics detect performance gaps early, recommending refresher courses to prevent skills degradation. By ensuring that every staff member-whether clinical, technical, or administrative-stays updated, healthcare institutions can significantly improve patient outcomes and safety standards while meeting stringent regulatory requirements.

Ensemble Health, a major player in healthcare revenue management, is seeking a potential $13 billion sale or IPO next year, Business Insider has learned. Ensemble, owned primarily by private equity firms Warburg Pincus and Berkshire Partners, has tapped JPMorgan to pursue a sale, five people with knowledge of the deal told Business Insider. At the same time, Ensemble is considering an IPO and has pulled in Goldman Sachs to support the dual-track approach, three of the people said.

For more than a decade, researchers have wondered whether artificial intelligence could help predict what incapacitated patients might want when doctors must make life-or-death decisions on their behalf. It remains one of the most high-stakes questions in health care AI today. But as AI improves, some experts increasingly see it as inevitable that digital "clones" of patients could one day aid family members, doctors, and ethics boards in making end-of-life decisions that are aligned with a patient's values and goals.

The use of artificial intelligence in healthcare could create a legally complex blame game when it comes to establishing liability for medical failings, experts have warned. The development of AI for clinical use has boomed, with researchers creating a host of tools, from algorithms to help interpret scans to systems that can aid with diagnoses. AI is also being developed to help manage hospitals, from optimising bed capacity to tackling supply chains.

One of the biggest examples in the commercial consumer industry is GPS maps. Once those were introduced, when you study cognitive performance, people would lose spatial knowledge and spatial memory in cities that they're not familiar with - just by relying on GPS systems. And we're starting to see some of those things with AI in healthcare," Amarasingham explained.

The survey of 2,000 adults found nearly a third (29%) have put off seeking care due to long waits, while more than one in five (22%) admit they have avoided seeking care altogether. Alarmingly, one in five (20%) delayed seeing a doctor even after noticing possible cancer symptoms. Doctors warn this behaviour could mean hundreds of cancers are going undiagnosed, or being caught later when survival chances are reduced.

That feeling of being on top of the world-quite literally-was a very fleeting moment. I thought I was invisible at that point.

Co-authored by Stephen O'Brien and Michael Hogan As AI becomes more autonomous, its potential for higher status and increased authority in human-AI teamwork scenarios is concerning. A serious problem arises when human trust in AI masks inappropriate reliance on AI and poor human-AI teamwork performance. This is particularly concerning in life-or-death situations where erosion of human agency can be fatal.

"The Late Show" host said on an episode of the "Possible" podcast published Wednesday that AI can mimic art but will always struggle to escape the "uncanny valley." He asked whether AI-generated art will ever stop feeling "alien." True art comes from people because it fuses ideas with emotional experience, he said. "Art is by humans for humans about being human. It's not about ideas because ideas are constructs, and humans are not a construct," Colbert said.

The world-first technology analyses brain CT scans of stroke patients arriving at hospital, taking just a minute to identify the type and severity of stroke and the most appropriate treatment. It means doctors can then offer drugs or surgery much more quickly, with the system shortening the average time between patients arriving at hospital and starting treatment by one hour from 140 minutes to 79 minutes.

But even in the best-funded clinics with the most committed professionals, standards can still fall short; doctors, like the rest of us, are working with stone age minds. Despite years of training, human brains are not optimally equipped for the pace, pressure, and complexity of modern healthcare. Given that patient care is medicine's core purpose, the question is who, or what, is best placed to deliver it?

A significant number of patients are turning to AI for medical advice, often out of a sense of urgency as many hospitals refuse to accept new patients.

Continuous exposure to AI might reduce the ADR of standard non-AI assisted colonoscopy, suggesting a negative effect on endoscopist behaviour.

CS Connect is an artificial intelligence-powered virtual platform where patients can access healthcare support 24/7, aiming to improve access to primary care and reduce wait times.

The AI-generated medical record falsely claimed the patient had diabetes and suspected heart disease, leading to a mistaken invitation for a diabetic screening.

Microsoft's AI Diagnostic Orchestrator tool has shown an 85% accuracy in diagnosing complex medical cases, significantly outperforming human doctors' 21%. This efficiency is crucial performance given the 50 million daily health care GenAI searches.

Isomorphic Labs is focused on creating a general drug design engine that applies AI across various disease areas, not just specific targets or modalities.

The Microsoft AI Diagnostic Orchestrator diagnosed cases four times as accurately as physicians after both parties were able to ask questions and order tests.

Artificial intelligence - arguably, a uselessly vague umbrella term - came up multiple times in a recent interview, highlighting a potential misguided approach to health testing and decisions.

The North London NHS Foundation Trust's Digital, Data, and AI Academy was honored with the Digital Literacy, Education, and Upskilling Award at the HSJ Digital Awards 2025 for its effective IT training program.

Ultrahuman has launched Blood Vision, an advanced blood-testing platform offering insight into health markers and longevity, marking a significant shift in personal health management.

"I've yet to find someone who feels accountable to Chat GPT. I always quip that there's a reason that artificial intelligence is a buzzword and artificial empathy is not. You can expect us to always have a proactive people component."

According to early testers, the MedGemma model generated inaccurate interpretations on clinical cases, emphasizing the need for additional training on quality annotated data.

Does every business have to be an AI business? ... When I started with companies earlier, like there weren't AI companies ... I'm not smart enough to figure out if these models actually are the right ones.

The project stemmed from a personal need to alleviate the burdens of clinical documentation, transforming a critical issue in healthcare into a viable solution.