
AI & Clinical Practice - Ethical Challenges and Evolving Strategies
Artificial Intelligence AI with it’s widespread use in various sectors has also taken a dive into healthcare by transforming clinical practice and improving patient care.
Showing results for: "AI Ethics in Healthcare" (49 results)

Artificial Intelligence AI with it’s widespread use in various sectors has also taken a dive into healthcare by transforming clinical practice and improving patient care.

With the potential of AI tools revolutionizing the world of healthcare, there are ethical risk factors that need to be looked at before their implementation.

Artificial Intelligence(AI) is reshaping the future of healthcare. The US and UK healthcare systems started to adopt tools like AI Scribe and conversational chatbots, as they claimed to outperform clinicians in diagnostics. Survey data from over 100 physicians polled by Fierce Healthcare and Sermo indicate that many doctors are using general-purpose LLMs for clinical tasks.

Can algorithms predict sickness before you feel it? Explore how AI is using smartwatch data and ECGs to detect diseases like Alzheimer's and AFib early.

Radiology is more than just X-rays. See how it evolved, how it works, and how AI is making diagnosis faster, safer, and better for everyone

Discover how AI is reshaping radiology, from faster diagnoses to improved accuracy, and what this means for patients and healthcare professionals.

Healthcare is changing faster than ever before. Thanks to breakthroughs in artificial intelligence (AI), genomics, and wearable technology, medicine is entering the era of smart health, where data, devices, and biology work together to create care tailored to the individual.

Imagine being able to control a computer, a prosthetic limb, or even a drone just by using your thoughts. This is not science fiction; it is now a reality thanks to brain-computer interfaces (BCIs). BCIs are groundbreaking systems that enable direct communication between the brain and external devices.

(DCTs) are redefining how pharmaceutical studies are designed, conducted, and analyzed by moving away from traditional site-centric models toward patient-centric, digitally enabled trial ecosystems.

Modern healthcare is undergoing a silent revolution. Now to treat a disease in the healthcare system, there is no longer a need to wait for symptoms to appear.

A low-energy dynamical approach could give companion AI the gift of long-term relational memory - especially valuable for eldercare.

Have you ever intended to check a single notification, only to realize forty minutes have vanished into an endless scroll? In 2026, privacy is no longer just about your data; it is about your thought process. Is your next choice truly yours, or has a 'Digital Twin' already made it for you

Nanotechnology is having a big impact on pharmaceutical sciences, and drug delivery systems are one area where this is most evident. Compared to conventional medication delivery methods, nanoparticles provide a number of benefits, including increased effectiveness and fewer adverse drug reactions.

Agriculture has always been shaped by the seasons, the soil, and the skilled hands of the farmers who nurture the land. But in the last decade, a new change has quietly entered the fields - Data. As climatic changes are incalculable and the global population climbs towards 10 billion, farmers are being pushed to grow more food with fewer resources.

This article makes those steps explicit. I describe a repeatable cognitive pipeline I call Stained-Glass Thinking, which I have used consistently throughout the development of Relational Field Theory (RFT).

Discover how AI surveillance impacts psychological safety in the workplace and why constant monitoring might be killing your team's innovation.

Biologics have transformed the management of chronic and life-threatening diseases such as cancer, autoimmune disorders, and metabolic conditions. However, their complexity, high production costs, and limited affordability continue to challenge healthcare systems worldwide.

Animal models have traditionally served as the cornerstone of drug safety evaluation; however, major translational challenges persist due to interspecies differences in physiology, metabolism, and genetic regulation. Many compounds demonstrating favorable toxicity profiles in animals later fail during human trials or are withdrawn post-marketing due to unforeseen adverse effects, especially hepatotoxicity and cardiotoxicity (Lee et al., 2025).

Vancomycin is an essential glycopeptide antibiotic used to treat life-threatening infections caused by Gram-positive bacteria, particularly Methicillin-Resistant Staphylococcus aureus (MRSA). It functions by inhibiting bacterial cell-wall synthesis and is still the most potent drug to be used when others fail (Patel, Preuss, & Bernice, 2023).

This article aims to demystify the anatomy of a clinical trial protocol, peeling back the technical layers to reveal how scientific rigor is converted into medical progress. At ScientistsHub, we often ask: How do we ensure that a medical breakthrough is not just a stroke of luck, but a repeatable, verifiable victory for human health? The answer is found in the design. To truly appreciate the result of any trial, one must first master the architecture of the inquiry.