Physicians skeptical of AI use in medicine: study

An article by Haiyang Yang, Tinglong Dai and colleagues recently published in npj Digital Medicine examines how clinicians perceive peers who use generative AI in medical decision-making. The study highlights a critical dimension often overlooked in technology rollouts: the human factor in change management. Deploying AI in healthcare is not only a technical integration — it is a change management process that requires attention to trust, professional identity, and peer perception. Findings suggest that perceptions of clinicians using AI, particularly as a primary decision-making tool, can be less favorable than those of peers who do not use it. Even when AI is framed as a verification aid, perceptions improve but do not fully align with the control group. As AI capabilities advance, perceptions will need to evolve to ensure that adoption decisions are guided by both evidence of effectiveness and an understanding of the human dynamics that influence acceptance. Read More : https://lnkd.in/eDPKeZq2 Subscribe to the AI and Healthcare Substack to stay informed about the latest developments at the intersection of AI and medicine: https://lnkd.in/ezwGyhyd #AI #MedicalAI #HealthAI

How Artificial Intelligence is Transforming Medical Practice in France Artificial intelligence (AI) is gradually revolutionizing medicine in France, by transforming not only diagnostic tools but also the patient-doctor relationship and hospital processes. Through powerful algorithms capable of analyzing massive volumes of data, AI improves the accuracy of diagnoses, anticipates certain pathologies, and optimizes care pathways. This evolution opens new perspectives for healthcare professionals, while posing significant ethical and practical challenges. https://lnkd.in/e9iAAN-D

AI is everywhere in healthcare but patient trust will determine its real impact. If we’re transparent about how it works, keep clinicians in the loop, and prove results, AI can enhance care for everyone. How do you think healthcare can earn patients’ trust in AI? https://lnkd.in/eSAfyTrb

Interesting article on AI and “patient in the loop”. “Involving patients in the design and development of AI systems can play a pivotal role in making these technologies more acceptable and aligned with patient values. This approach reduces the risk of a mismatch between the capabilities of deployed solutions and the expectations of patients, ensuring that the systems are tailored to clinical practice needs.” https://lnkd.in/egrGQRAE

In the demanding world of healthcare, the expectations placed on doctors are often unrealistic. We envision them as infallible beings, always right and tirelessly perfect. However, the reality is far from this ideal. Doctors, like all of us, are human. They face overwhelming workloads, prolonged hours, intense stress, and scarce resources. Even in well-funded facilities with dedicated professionals, the inherent limitations of the human mind can lead to shortcomings in standards. Despite extensive training, our brains are not evolutionarily adapted to handle the rapid pace, immense pressure, and intricate demands of modern medicine. The notion of integrating AI into healthcare presents a compelling solution. Embracing AI doctors can revolutionize the field, offering a blend of human expertise and technological precision. By leveraging artificial intelligence, we can enhance diagnostic accuracy, streamline processes, and alleviate the burdens on healthcare professionals. The synergy between human compassion and AI efficiency holds the key to advancing healthcare standards and ensuring optimal patient care. Read more about "The Big Idea: why we should embrace AI doctors" in Books by The Guardian: [Link to the article](https://lnkd.in/dMR5ZSGV)

Patients worldwide are cautiously optimistic about the use of AI in healthcare. Most support it as a helpful assistant, but few trust it to replace doctors, according to a new study that reveals trust, concerns, and the need for explainable AI. There has been plenty of research into the growing use of AI in medicine and how medical professionals feel about it. But there are far fewer studies into how patients, who are arguably the most significant stakeholders, feel about the use of medical AI. Continue reading: https://lnkd.in/g9MCdDE8 1) #AIinHealthcare 2) #PatientPerspectives 3) #TrustVsConcern 4) #ExplainableAI

Yes, it's time to think of a new organizational role for GenAI to play in healthcare delivery process. Harvard professors propose an "algorithmic consultant" role, see this Nature perspective article: https://lnkd.in/gp8SKNqX What roles do you envision GenAI should or can play in healthcare GenAI revolution? I have an even more important role for GenAI since clinical AI is becoming a specialty. We may simply call it "AI Specialist" and can place it in different clinical settings to impact or support clinical decision-making. #GenAI #LLM #healthcare

AI vs doctors: The wrong question for healthcare’s future? Bold claims from industry often suggest AI will replace doctors. But medicine is far more complex than any controlled vignette or AI algorithm can capture. Real clinical practice involves uncertainty, collaboration, judgement, and above all, trust between doctor and patient… qualities that cannot be replicated by AI algorithms. The evidence consistently shows that hybrid models, where clinicians and AI work together, outperform either alone. The real opportunity lies in partnership! AI systems co-designed with clinicians, supported by strong regulation, and integrated into workflows to reduce inefficiency, improve safety, and deliver more personalised care. The question isn’t whether AI can replace doctors, it can’t and it shouldn’t. The challenge is how industry, regulators, and clinicians can work together to ensure AI makes good doctors even better. Co-Authored with Dr Mary Madden & Dr Remi Paramsothy Responsible Ai UK Guy's and St Thomas' NHS Foundation Trust #AIinHealthcare #DigitalHealth #FutureOfMedicine #MedicalAI #HealthcareInnovation

This study from University of Munich shows where we are already regarding comfort and confidence when #AI is used in healthcare. This is only the beginning because as AI becomes better, and more people use them, confidence will increase. https://lnkd.in/gDTtH44c

𝗨𝘀𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻 𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝗰𝗼𝘂𝗹𝗱 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂 𝗹𝗼𝗼𝗸 𝗹𝗲𝘀𝘀 𝘀𝗸𝗶𝗹𝗹𝗲𝗱 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗹𝗹𝗲𝗮𝗴𝘂𝗲𝘀’ 𝗲𝘆𝗲𝘀. A study from Johns Hopkins University reveals an invisible barrier to AI adoption in healthcare: 𝗽𝗲𝗲𝗿 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻. 𝗞𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗼𝗳 𝟮𝟳𝟲 𝗰𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻𝘀: → 𝗟𝗼𝘄𝗲𝗿 𝗣𝗲𝗿𝗰𝗲𝗶𝘃𝗲𝗱 𝗦𝗸𝗶𝗹𝗹: Doctors who used GenAI as a primary decision-making tool were rated far less skilled (5.93 → 3.79 on a 7-point scale). → 𝗪𝗼𝗿𝘀𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Patients’ overall healthcare experience was perceived as lower when AI was used. → 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗛𝗲𝗹𝗽𝘀: Using AI only as a verification tool reduced the negative perception, but clinicians not using AI still ranked highest. The study concludes that healthcare leaders must reshape perceptions of “clinical expertise” for the AI era. Let’s connect: https://lnkd.in/dY79JSn3 Explore our work: https://lnkd.in/d_jF7uK8 #AIinHealthcare #GenerativeAI #DigitalHealth #FutureofMedicine #HealthTech 𝗙𝗼𝗿 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗥𝗲𝗮𝗱𝗶𝗻𝗴: → https://lnkd.in/eDPKeZq2 → https://lnkd.in/ev6NuC5i