Ethical AI in healthcare: How to do it ethically

At GenexAI, we empower healthcare teams with rapid, responsible AI solutions—but what exactly does this entail? Responsible AI is about ensuring the development, deployment, and use of AI systems adhere to the highest standards of fairness, transparency, accountability, and ethical integrity. As AI continues to revolutionize healthcare—enhancing diagnostics, treatment planning, and operational efficiency—the need for responsible and ethical AI has never been more critical. However, AI's true potential is unlocked when paired with human expertise, driving optimal patient outcomes through the fusion of technology and clinical insight. At GenexAI, we prioritize the seamless integration of AI with human judgment, ensuring that trust, transparency, and safety remain at the forefront of every innovation. By adhering to these principles, we are not only advancing technology but also setting a new benchmark for how ethical AI can collaborate with human professionals to transform healthcare and build trust in the future of innovation. Interested in learning more? Schedule a meeting with us today. 🌐 https://lnkd.in/e_Wx3UTZ #ResponsibleAI #EthicalAI #Healthcare #HumanExpertise #AI #Data

𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗔𝗜: 𝗪𝗵𝗮𝘁 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗡𝗲𝗲𝗱 𝗧𝗼 𝗞𝗻𝗼𝘄 It's been a year since I ran a public presentation about AI in healthcare. A LOT has changed since then! So I'm running another presentation soon - 𝗼𝗻 𝗧𝘂𝗲𝘀𝗱𝗮𝘆 𝟮𝗻𝗱 𝗝𝘂𝗹𝘆. If you're a leader in a healthcare organisation (or even if you're not!), you're welcome to attend. There have been some amazing AI-powered breakthroughs in clinical interventions. But this session looks wider – AI is for everyone! We’ll explore: 🔍 How AI is changing the future of work 📈 New ways to enhance patient experiences and outcomes 💡 Boosting productivity and performance with AI As a leader in such a highly-regulated sector, you know how important it is to use AI carefully and effectively. It's not as simple as flipping a switch and hoping for the best! If you're a healthcare leader ready to tap into the power of AI, learn how to unlock AI's potential for your team or organisation! 📅 Date: Tuesday 2nd July 🕒 Time: 12-1pm WST, 2-3pm AEST 📍 Register: https://lnkd.in/gP4KkRvr Register now and lead the way in AI-driven healthcare!

𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗔𝗜: 𝗪𝗵𝗮𝘁 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗡𝗲𝗲𝗱 𝗧𝗼 𝗞𝗻𝗼𝘄 It's been a year since I ran a public presentation about AI in healthcare. A LOT has changed since then! So I'm running another presentation soon - 𝗼𝗻 𝗧𝘂𝗲𝘀𝗱𝗮𝘆 𝟮𝗻𝗱 𝗝𝘂𝗹𝘆. If you're a leader in a healthcare organisation (or even if you're not!), you're welcome to attend. There have been some amazing AI-powered breakthroughs in clinical interventions. But this session looks wider – AI is for everyone! We’ll explore: 🔍 How AI is changing the future of work 📈 New ways to enhance patient experiences and outcomes 💡 Boosting productivity and performance with AI As a leader in such a highly-regulated sector, you know how important it is to use AI carefully and effectively. It's not as simple as flipping a switch and hoping for the best! If you're a healthcare leader ready to tap into the power of AI, learn how to unlock AI's potential for your team or organisation! 📅 Date: Tuesday 2nd July 🕒 Time: 12-1pm WST, 2-3pm AEST 📍 Register: https://lnkd.in/gP4KkRvr Register now and lead the way in AI-driven healthcare!

What if your doctor was a robot? 🤖 Okay, we’re not quite there yet, but AI is making its presence felt in every sector, including healthcare. Take a look at this TDL article by Sophie Cleff and consider both the ups and downs of integrating AI into our healthcare system. Care for a teaser?  Healthcare workers are overburdened, with burnout becoming all too common. Beyond patient care, they’re swamped with administrative tasks like charting and synthesizing lab results. While AI might not yet grasp a trained physician's nuances, it can reliably automate or semi-automate tasks such as chart reviews and clinical report generation, reducing the workload and improving efficiency.👩⚕️ However, we must tread carefully. AI can also perpetuate existing biases, reflecting the prejudices present in the data it’s trained on. Ensuring ethical and equitable implementation is crucial. 🔗 Curious to learn more? Dive into the full article to explore how AI could transform healthcare and the steps needed to ensure it does so equitably. 👉 https://lnkd.in/ehftF-jT  #AI #Innovation #EthicalAI #Healthcare

Shaping the Future of AI in Healthcare: A Call for Ethical Excellence As artificial intelligence continues to revolutionize healthcare, we find ourselves at a critical juncture. The potential for AI to improve outcomes, increase accessibility, and enhance patient care is boundless—but with great potential comes great responsibility. Completing my certification in Ethics and Governance of AI in Healthcare has deepened my understanding of the delicate balance we must maintain between innovation and ethical considerations. It's not just about what AI can do; it's about what AI should do. Here are three key principles that guide my perspective: 1️⃣ Transparency: Patients and providers must trust that AI systems are understandable and fair. 2️⃣ Equity: AI should bridge gaps in healthcare, not widen them. 3️⃣ Accountability: Ethical AI requires governance frameworks that hold stakeholders responsible for outcomes. The healthcare sector cannot afford to overlook the ethical dimensions of AI. We need cross-disciplinary collaboration, robust policies, and a commitment to prioritizing humanity alongside technology. Let’s start the conversation: 👉 How can we ensure AI transforms healthcare for everyone equitably? 👉 What challenges do you see in implementing ethical AI in practice? I’d love to hear your thoughts—together, we can shape a future where AI empowers healthcare without compromising its humanity. #AI #HealthcareInnovation #EthicsInAI #FutureOfHealthcare

💡AI is reshaping the world - but who’s getting the benefit? At Deep Medical, we’re using AI to improve patient access to care. But the potential of AI extends far beyond healthcare; it’s poised to transform the whole of society. So the question is; how can we make sure that this transformation brings equality, not just change? Our co-founder Benyamin Deldar makes the case in AI Business for a new model, where companies benefiting from AI contribute meaningfully to society. Because surely we can balance innovation - and responsibility? Read the full article here >> https://lnkd.in/e7_beJVF

The AI Revolution in Healthcare: Building Trust Through Transparency As a healthcare provider, you're always looking for ways to improve patient care. AI offers incredible potential, but it also raises questions. How can we ensure our patients trust these new technologies? The answer lies in Explainable AI. What is Explainable AI? Explainable AI is a set of tools and techniques that make AI decisions understandable to humans. Instead of a "black box" approach, it provides clear reasoning behind AI-driven recommendations. Why It Matters for Healthcare: Builds Patient Trust: When patients understand how decisions are made, they're more likely to trust the process. Enhances Decision-Making: Doctors can verify AI suggestions, combining machine efficiency with human expertise. Improves Patient Engagement: Patients who understand their care plan are more likely to adhere to treatments. Addresses Ethical Concerns: Transparency helps ensure AI systems are fair and unbiased. Implementing Explainable AI in Your Practice: Start small. Look for AI tools with built-in explanation features. Train your staff to interpret and communicate these explanations effectively. Remember, the goal isn't just to use advanced technology, it's to provide better, more trustworthy care for our patients. #HealthcareAI #PatientTrust #ExplainableAI #HealthTech 

🌟 When AI-driven insights result in incorrect diagnoses or treatments, the issue of accountability arises: who should be held responsible, the doctor or the AI? In such scenarios, the primary responsibility typically falls on the doctors, who make clinical decisions based on their professional expertise, even if the AI system provides the recommendation. Nonetheless, developers and vendors of AI tools could also share accountability if their technology is flawed or generates inaccurate outcomes. The legal landscape concerning shared liability is continuously developing, alongside ethical considerations on the optimal integration of AI in medical practice. Despite the advancements in AI technology, human healthcare providers play a pivotal role in ensuring patient safety and delivering quality care. Their judgment remains crucial in upholding standards and safeguarding the well-being of individuals under their care. https://lnkd.in/gzs3MZAd #AI #FutureHealthcare #digitalhealth #PatientSafety

AI in healthcare: A force for good or harm? AI is transforming healthcare, but are we fully in control of its impact? Here’s what AI in healthcare is NOT: ❌ Neutral: AI reflects the biases in the data it’s trained on—and that can lead to harmful decisions. ❌ Self-correcting: Without oversight, errors in AI systems can spiral, disproportionately affecting vulnerable populations. ❌ A replacement for empathy: AI should enhance, not replace, the human connection in care. Here’s what AI in healthcare IS—or should be: ✅ Transparent: Patients deserve to understand how decisions are made. ✅ Bias-aware: Addressing inequities in healthcare requires diverse, high-quality datasets. ✅ Equity-driven: AI must narrow gaps, not widen them. ✅ Empowering: Helping providers deliver better care, not replacing them. AI has the potential to be a force for good in healthcare—but only if we use it wisely. ❓What do you think? How can we ensure AI is a force for good in healthcare? ♻️ Please share to help your network and follow Anna Dé for more content. #AIInHealthcare #HealthInnovation  #EquityInHealth #DigitalHealth  #FutureOfHealthcare

How to apply AI technologies to safely and ethically engage with HCP? 🩺 We understand the tremendous opportunity of AI to better engage HCPs by meeting individual needs at scale. And we work closely with healthcare companies to harness this power in an ethical and safe way. Our solutions ensure full compliance at all times. You gain all the benefits — massive content production increases, rapid tactic building, more targeted engagements, and data-driven communications — without the risks otherwise inherent in AI. And this gives you the confidence to fully realize AI's potential Explore more: https://lnkd.in/dva6HBK3 #AI #artificialintelligence #pharmamarketing #pharma #hcpengagement