Critics vs. Supporters: The Debate Over Full-Body MRI Critics argue that our unrelenting desire for safety and certainty drives us toward new, better, and inevitably more expensive medical diagnostics to determine if we're genuinely healthy or if some form of cancer lurks within us. Supporters contend that it&

Healthcare services have improved globally over the last few centuries. Of course, this improvement has occurred at varying paces and levels across different regions, but generally, we are all moving in the same direction: toward longer and healthier lives than ever before. While this is beneficial for us, unfortunately, the

The Application of AI in Head and Neck Cancer My focus on AI is primarily in radiology, given my background, so I acknowledge a certain bias in my perception of how extensively AI is utilized in clinical settings (though "extensively" might be an overstatement considering the current minimal

Do you remember the days when patients typed their symptoms into Google and were directed to various websites offering a mix of advice, both good and bad? Then, they would visit their doctors, hoping to confirm what they had learned online. Those days are nearly over - TikTok is quickly

The vast potential of interpretative AIs is often celebrated in conference talks and research papers. However, a closer look at the actual numbers can be quite sobering: the use of AI in radiology is still struggling to take off. The primary reason? It simply does not deliver enough value to

Imagine this scenario: you’re on a plane, buckling up due to turbulence, when suddenly, you decide to ignore the flight attendants. Instead, you stroll up to the cockpit and suggest to the pilot—based on your grand aunt’s recent advice—that flying backwards might just be the superior

Permanent loud noises in an enclosed space and coils wrapped around your body - this sums up the discomfort each patient faces in an MRI, and for some, it's an actual nightmare. Understanding not only the needs and fears of our patients but also discovering if there'

We're living in fascinating times for entrepreneurship in healthcare. There's a boom of startups sprouting up everywhere, much like mushrooms in the forest during autumn. However, just like those mushrooms, a staggering 98% of these startups tend to disappear or fail [1]. But why is this

If you're a radiologist, you definitely know the feeling of absolutely loathing your phone. That little device just keeps interrupting your flow with its same old annoying ring, and after a while, it gets to the point where it makes you jump every time it rings. But beyond

The rise of patient portals and the ubiquity of 'Dr. Google' have brought many benefits but also some notable challenges. Patients now have easier access to their medical records, which empowers them to take ownership of their health journey. However, the complexity of medical terminology often poses a

Medical imaging is a significant consumer of energy, a fact that becomes startlingly clear when you learn it accounts for about 1% of greenhouse gas (GHG) emissions. The primary culprits have been the production and operation of MRI, CT, and other similar equipment. Now, AI's rapidly increasing energy

It has been almost 3 months now since Open AI launched their GPT store where you can get customized GPTs that are tailored to a specific task. If you are on the premium subscription this feature is available for you. Intrigued by what's out there for radiology, I

I just finished the really great book “Steal like an Artist” by Austin Kleon. It’s full of many great and very inspiring thoughts, but what really stuck in my mind was this one particular figure. Funnily enough, he obviously based it on a strong inspiration from a friend. So,

In my personal opinion MRI is one of the greatest technological achievements of all time and definitely one of the methodologies in radiology that most fascinate me. We can really look into bodies and analyze the consistency of tissue! We can even tell if there is inflammation or not or

"What would Batman do?" This question sounds odd to an average adult, but it actually might be the solution to many of your problems. These problems might include anxiety, anger, fear, overwhelmingness, procrastination, or a lack of motivation and drive. Have you ever seen Batman or Superman showing

I've personally experienced and seen many physicians yearning to transition from clinical roles to the business sector. The high workload and pressure often diminish job satisfaction in healthcare. Rising burnout rates and the craving for more flexibility, creativity, and societal impact are driving forces behind this shift. The

In the ever-evolving landscape of healthcare, the fusion of artificial intelligence (AI) with medical expertise is not just a possibility; it's a reality. A recent study I came across offers an intriguing glimpse into this future, particularly in the field of radiology. 🛣️ Study Snapshot: This groundbreaking study involved

As a radiologist, I'm frequently approached by various people in my life who are curious if I can review some recent MRI images for them. Naturally, I can't help but dive in and start analyzing these images. This got me thinking about patients who don'

“Have you already spoken to your AI chatbot?” This question might soon be a regular greeting at medical facilities, not just a quirky conversation starter. We've seen considerable improvements in AI chatbot solutions recently, but honestly, they haven’t yet made a significant dent in the healthcare systems

I was stumbling upon a fascinating study while researching technology-enabled patient empowerment, I found some thought-provoking results about inequities in US breast cancer screening. 🎯 Aim: Exploring the influence of social determinants of health (SDOH) on breast cancer screening rates. ❗️ Why SDOH Matter: SDOH encompasses a range of socioeconomic factors, potentially

AI in Healthcare: Transforming Patient Engagement and Clinical Outcomes Speaking to any radiology colleague these days the discussions always comes to AI at one point. And I am under impression that in this discussions our focus often orbits around enhancing the efficiency of: a) Image production b) Image analysis c)

Okay, so we're utilizing AI for a variety of tasks in radiology - from analyzing images and accelerating image acquisition to even aiding us in crafting an impression that's bound to wow our referring orthopedic surgeons. The sheer breadth of tasks indicates the diverse nature of