AI Research

AI Transformation in NHS Faces Key Challenges: Study

Published

3 hours ago

September 11, 2025

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, harmonisation with old IT systems and finding the right AI tools and staff training, finds a major new UK study led by UCL researchers.

The authors of the study, published in The Lancet eClinicalMedicine, say the findings should provide timely and useful learning for the UK Government, whose recent 10-year NHS plan identifies digital transformation, including AI, as a key platform to improving the service and patient experience.

In 2023, NHS England launched a programme to introduce AI to help diagnose chest conditions, including lung cancer, across 66 NHS hospital trusts in England, backed by £21 million in funding. The trusts are grouped into 12 imaging diagnostic networks: these hospital networks mean more patients have access to specialist opinions. Key functions of these AI tools included prioritising critical cases for specialist review and supporting specialists’ decisions by highlighting abnormalities on scans.

Funded by the National Institute for Health and Care Research (NIHR), this research was conducted by a team from UCL, the Nuffield Trust, and the University of Cambridge, analysing how procurement and early deployment of the AI tools went. The study is one of the first studies to analyse real-world implementation of AI in healthcare.

Evidence from previous studies, mostly laboratory-based, suggested that AI might benefit diagnostic services by supporting decisions, improving detection accuracy, reducing errors and easing workforce burdens.

In this UCL-led study, the researchers reviewed how the new diagnostic tools were procured and set up through interviews with hospital staff and AI suppliers, identifying any pitfalls but also any factors that helped smooth the process.

They found that setting up the AI tools took longer than anticipated by the programme’s leadership. Contracting took between four and 10 months longer than anticipated and by June 2025, 18 months after contracting was meant to be completed, a third (23 out of 66) of the hospital trusts were not yet using the tools in clinical practice.

Key challenges included engaging clinical staff with already high workloads in the project, embedding the new technology in ageing and varied NHS IT systems across dozens of hospitals and a general lack of understanding, and scepticism, among staff about using AI in healthcare.

The study also identified important factors which helped embed AI including national programme leadership and local imaging networks sharing resources and expertise, high levels of commitment from hospital staff leading implementation, and dedicated project management.

The researchers concluded that while “AI tools may offer valuable support for diagnostic services, they may not address current healthcare service pressures as straightforwardly as policymakers may hope” and are recommending that NHS staff are trained in how AI can be used effectively and safely and that dedicated project management is used to implement schemes like this in the future.

First author Dr Angus Ramsay (UCL Department of Behavioural Science and Health) said: “In July ministers unveiled the Government’s 10-year plan for the NHS, of which a digital transformation is a key platform.

“Our study provides important lessons that should help strengthen future approaches to implementing AI in the NHS.

“We found it took longer to introduce the new AI tools in this programme than those leading the programme had expected.

“A key problem was that clinical staff were already very busy – finding time to go through the selection process was a challenge, as was supporting integration of AI with local IT systems and obtaining local governance approvals. Services that used dedicated project managers found their support very helpful in implementing changes, but only some services were able to do this.

“Also, a common issue was the novelty of AI, suggesting a need for more guidance and education on AI and its implementation.

“AI tools can offer valuable support for diagnostic services, but they may not address current healthcare service pressures as simply as policymakers may hope.”

The researchers conducted their evaluation between March and September last year, studying 10 of the participating networks and focusing in depth on six NHS trusts. They interviewed network teams, trust staff and AI suppliers, observed planning, governance and training and analysed relevant documents.

Some of the imaging networks and many of the hospital trusts within them were new to procuring and working with AI.

The problems involved in setting up the new tools varied – for example, in some cases those procuring the tools were overwhelmed by a huge amount of very technical information, increasing the likelihood of key details being missed. Consideration should be given to creating a national approved shortlist of potential suppliers to facilitate procurement at local level, the researchers said.

Another problem was initial lack of enthusiasm among some NHS staff for the new technology in this early phase, with some more senior clinical staff raising concerns about the potential impact of AI making decisions without clinical input and on where accountability lay in the event a condition was missed. The researchers found the training offered to staff did not address these issues sufficiently across the wider workforce – hence their call for early and ongoing training on future projects.

In contrast, however, the study team found the process of procurement was supported by advice from the national team and imaging networks learning from each other. The researchers also observed high levels of commitment and collaboration between local hospital teams (including clinicians and IT) working with AI supplier teams to progress implementation within hospitals.

Senior author Professor Naomi Fulop (UCL Department of Behavioural Science and Health) said: “In this project, each hospital selected AI tools for different reasons, such as focusing on X-ray or CT scanning, and purposes, such as to prioritise urgent cases for review or to identify potential symptoms.

“The NHS is made up of hundreds of organisations with different clinical requirements and different IT systems and introducing any diagnostic tools that suit multiple hospitals is highly complex. These findings indicate AI might not be the silver bullet some have hoped for but the lessons from this study will help the NHS implement AI tools more effectively.”

Limitations

While the study has added to the very limited body of evidence on the implementation and use of AI in real-world settings, it focused on procurement and early deployment. The researchers are now studying the use of AI tools following early deployment when they have had a chance to become more embedded. Further, the researchers did not interview patients and carers and are therefore now conducting such interviews to address important gaps in knowledge about patient experiences and perspectives, as well as considerations of equity.

/Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.

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AI Research

Commanders vs. Packers props, SportsLine Machine Learning Model AI picks: Jordan Love Over 223.5 passing yards

Published

56 minutes ago

September 11, 2025

Daniel Kohn

The NFL Week 2 schedule gets underway with a Thursday Night Football matchup between NFC playoff teams from a year ago. The Washington Commanders battle the Green Bay Packers beginning at 8:15 p.m. ET from Lambeau Field in Green Bay. Second-year quarterback Jayden Daniels led the Commanders to a 21-6 opening-day win over the New York Giants, completing 19 of 30 passes for 233 yards and one touchdown. Jordan Love, meanwhile, helped propel the Packers to a dominating 27-13 win over the Detroit Lions in Week 1. He completed 16 of 22 passes for 188 yards and two touchdowns.

NFL prop bettors will likely target the two young quarterbacks with NFL prop picks, in addition to proven playmakers like Terry McLaurin, Deebo Samuel and Josh Jacobs. Green Bay’s Jayden Reed has been dealing with a foot injury, but still managed to haul in a touchdown pass in the opener. The Packers enter as a 3.5-point favorite with Green Bay at -187 on the money line. The over/under is 48.5 points. Before betting any Commanders vs. Packers props for Thursday Night Football, you need to see the Commanders vs. Packers prop predictions powered by SportsLine’s Machine Learning Model AI.

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After analyzing the Commanders vs. Packers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model says Packers quarterback Love goes Over 223.5 passing yards (-112 at FanDuel). Love passed for 224 or more yards in eight games a year ago, despite an injury-filled season. In 15 regular-season games in 2024, he completed 63.1% of his passes for 3,389 yards and 25 touchdowns with 11 interceptions.

In a 30-13 win over the Seattle Seahawks on Dec. 15, he completed 20 of 27 passes for 229 yards and two touchdowns. Love completed 21 of 28 passes for 274 yards and two scores in a 30-17 victory over the Miami Dolphins on Nov. 28. The model projects Love to pass for 259.5 yards, giving this prop bet a 4.5 rating out of 5. See more NFL props here, and new users can also target the FanDuel promo code, which offers new users $300 in bonus bets if their first $5 bet wins:

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Oklahoma considers a pitch from a private company to monitor parolees with artificial intelligence

Published

1 hour ago

September 11, 2025

The Editors

Oklahoma lawmakers are considering investing in a new platform that aids in parole and probation check-ins through monitoring with artificial intelligence and fingerprint and facial scans.

The state could be the first in the nation to use the Montana-based company Global Accountability’s technology for parole and probation monitoring, said CEO Jim Kinsey.

Global Accountability is also pitching its Absolute ID platform to states to prevent fraud with food stamp benefits and track case workers and caregivers in the foster care system.

A pilot program for 300 parolees and 25 to 40 officers would cost Oklahoma around $2 million for one year, though the exact amount would depend on the number of programs the state wants to use the platform for, Kinsey said.

The Oklahoma Department of Corrections already uses an offender monitoring platform with the capability for check-ins using facial recognition, a spokesperson for the agency said in an email. Supervising officers can allow certain low-level offenders with smartphones to check in monthly through a mobile app instead of an office visit.

The state agency is “always interested in having conversations with companies that might be able to provide services that can create efficiencies in our practices,” the spokesperson said in a statement.

States like Illinois, Virginia and Idaho have adopted similar technology, though Global Accountability executives say their platform is unique because of its combination of biometrics, location identification and a feature creating virtual boundaries that send an alert to an officer when crossed.

The Absolute ID platform has the capacity to collect a range of data, including location and movement, but states would be able to set rules on what data actually gets captured, Kinsey said.

During an interim study at the Oklahoma House of Representatives in August, company representatives said their technology could monitor people on parole and probation through smartphones and smartwatches. Users would have to scan their face or fingerprint to access the platform for scheduled check-ins. The company could implement workarounds for certain offenders who can’t have access to a smartphone.

There are 428 people across the state using ankle monitors, an Oklahoma Department of Corrections spokesperson said. The agency uses the monitors for aggravated drug traffickers, sex offenders and prisoners participating in a GPS-monitored reentry program.

“That is a working technology,” said David Crist, lead compliance officer for Global Accountability. “It’s great in that it does what it should do, but it’s not keeping up with the needs.”

The Absolute ID platform uses artificial intelligence to find patterns in data, like changes in the places a prisoner visits or how often they charge their device, Crist said. It can also flag individuals for review by an officer based on behaviors like missing check-ins, visiting unauthorized areas or allowing their device to die.

Agencies would create policies that determine potential consequences, which could involve a call or visit from an officer, Crist said. He also said no action would be taken without a final decision from a supervising officer.

“Ultimately, what we’re trying to do is reduce some of the workload of officers because they can’t be doing this 24/7,” Crist said. “But some of our automation can. And it’s not necessarily taking any action, but it is providing assistance.”

Parolees and probationers can also text message and call their supervising officers through the platform.

The state could provide smartphones or watches to people on parole or probation or require them to pay for the devices themselves, said Crist. He also said the state could make prisoners’ failure to carry their phone with them or pay their phone bill a violation of parole.

Rep. Ross Ford, R-Broken Arrow, who organized the study, said in an interview with the Frontier he first learned about Global Accountability several years ago and was impressed by their platform.

Ford said he doesn’t see the associated costs for parolees and probationers, like keeping up with phone bills, as a problem.

“I want to help them get back on their feet,” Ford said. “I want to do everything I can to make sure that they’re successful when they’re released from the penitentiary. But you have to also pay your debt to society too and part of that is paying fees.”

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Ford said he thinks using the platform to monitor parole, probation and food stamp benefits could help the state save money. He’s requested another interim study on using the company’s technology for food stamp benefits, but a date hasn’t been posted yet.

Other legislators are more skeptical of the platform. Rep. Jim Olsen, R-Roland, said he thought the platform could be helpful, but he doesn’t see a benefit to Oklahoma being an early adopter. He said he’d like to let software companies work out some of the kinks first and then consider investing when the technology becomes less expensive.

Rep. David Hardin, R-Stilwell, said he remains unconvinced by Global Accountability’s presentation. He said the Department of Corrections would likely need to request a budget increase to fund the program, which would need legislative approval. Unless the company can alleviate some of his concerns, he said he doubts any related bill would pass the Public Safety committee that he chairs.

“You can tell me anything,” Hardin said. “I want to see what you’re doing. I want you to prove to me that it’s going to work before I start authorizing the sale of taxpayer money.”

AI Research

Research Solutions Launches AI Copyright Tool for Scientific Research

Published

1 hour ago

September 11, 2025

Stock Titan

Solution Enables Corporate Researchers To Safely Use Generative AI Tools With Journal Articles Through Integrated Rights Management And Publisher Partnerships

HENDERSON, Nev., Sept. 11, 2025 /PRNewswire/ — Research Solutions (NASDAQ: RSSS), a leading provider of AI-powered scientific research tools, announces the commercial launch of its AI Rights add-on for Article Galaxy, enabling corporate researchers to compliantly use generative AI tools with scientific journal content at scale. The solution addresses a critical compliance gap affecting 76% of researchers who now use AI tools in their workflows but lack clear guidance on copyright permissions for scientific content analysis.

The AI Rights add-on transforms Research Solutions’ Article Galaxy platform into a comprehensive solution for AI rights verification and acquisition, providing instant clarity on usage permissions and seamless access to acquire necessary rights. With direct partnerships with major publishers, the solution enables researchers to confidently analyze scientific literature with enterprise AI platforms like Microsoft Copilot, ChatGPT, and Claude while maintaining full copyright compliance.

“Our customers have been clear: they need AI capabilities to accelerate their research, but they cannot risk non-compliance,” said Roy W. Olivier, CEO of Research Solutions. “This launch delivers on our commitment to eliminate friction in the research workflow while creating sustainable value for publishers. We’re solving a compliance problem while enabling a new era of AI-powered scientific research.”

Research teams confront several complex obstacles when attempting to integrate AI tools into their workflows. Most publishers explicitly prohibit the use of their content in AI applications, yet no streamlined mechanism exists for acquiring necessary permissions. Research Solutions’ AI Rights add-on solves this through several key innovations:

Comprehensive Rights Management: Users can manage all AI rights sources through a single interface—whether through open access licenses, Reproduction Rights Organization agreements (RROs), direct publisher relationships, or Article Galaxy marketplace acquisition
Instant Rights Verification: Users immediately see AI usage permissions for any article, removing guesswork and compliance uncertainty
One-Click Rights Acquisition: Missing permissions can be purchased directly through the Article Galaxy interface with transparent pricing from participating publishers
Retroactive Rights Purchase: Organizations can acquire AI rights for articles previously purchased, enabling immediate compliance for existing content libraries
Organization-Wide Licensing: AI Rights acquired apply across the entire organization, eliminating per-use restrictions and ongoing compliance concerns

“The combination of generative AI and scientific literature creates unprecedented opportunities for accelerating discovery, but only when researchers can access content legally and efficiently,” said Chris Bendall, VP of Product Strategy at Research Solutions. “We’ve built a solution that makes AI analysis of scientific content both legally compliant and operationally seamless—turning what was previously a compliance risk into a competitive advantage.”

About Research Solutions

Research Solutions (NASDAQ: RSSS) is a vertical SaaS and AI company that simplifies research workflow for academic institutions, life science companies, and research organizations worldwide. As one of the only publisher-independent marketplaces for scientific, technical, and medical (STM) content, the company uniquely combines AI-powered tools—including an intelligent research assistant and full-text search capabilities—with seamless access to both open access and paywalled research. The platform enables organizations to discover, access, manage, and analyze scientific literature more efficiently, accelerating the pace of scientific discovery.

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For more information, visit https://www.researchsolutions.com.