You're struggling to enhance patient care. How can you harness artificial intelligence to make a difference?

In dentalcare, the most unfortunate problem is the lack of standardisation for disease detection. AI, as a technology with its capabilities for mass insights, can bridge the missing piece for case conversion. By training this technology on dental radiographs, it has shown that it has the capabilities to learn visible signs of dental pathologies and colour code them: i. Improving the patient education in an understandable format. ii. Enhanced diagnostics which acts as a IInd opinon for dentists.

Indeed great progress has been made in terms of AI based algorithms, especially if we consider visible conditions such as melanoma. We start seeing some AI software based solutions being implemented even in public healthcare to support primary care in more accurate evaluation of critical vs non-critical cases. However, with many options for supposed AI based image analysis, there is still a long way to be able to adopt this more broadly. We are currently working on evaluation and validation of various AI based imaging equipment to support not only diagnosis, but also a more clear categorization of patients - and hence being able to provide more individualized patient care towards their image-based categorization.

Artificial intelligence (AI) has gotten better at diagnosing diseases like cancer by using medical images. AI looks at these images to find patterns that might be hard for doctors to see. This helps doctors diagnose diseases more accurately and earlier. It also lowers the chance of telling someone they have a disease when they don't or missing a disease that's really there. This means less worry for patients and faster treatment.

With the work being carried out by @Skinmedsolutions, we aim to be able to utilize some of the newest AI based systems to provide even more personalized care within the dermatology, aesthetic and cosmetic sector, where we are also working significantly with e.g. inflammatory skin conditions. However, of utmost importance for us is not only for AI to be able to tell us if it is acne or rosacea - that is typically clear enough, but to be able to group patients, patient histories and their response to various products, treatments and cosmetics towards their skin condition - in this way it becomes a more holistic approach towards personalized care.

AI can indeed streamline many processes - or more clearly differentiate between the criticality of various conditions. But to a high degree it can also with time support us in making better decisions on a more "correct" and efficient treatment plan, that would actually work - because still in healthcare, whether it is physical care, pharmaceutical or medical technology based there is often still a huge trial-and-error basis in dealing with many conditions. Taking part of the guess-work out, and bringing us towards an efficient treatment plan faster will likely be the biggest efficiency and economic gain in utilizing AI

AI can help your healthcare practice run smoother and faster. It can automate tasks like scheduling appointments, billing, and keeping patient records. This frees up time for you to care for patients. With less paperwork, things run more smoothly and there are fewer mistakes. This helps your staff work better and gives patients a better experience with shorter waits and better service.

Being able to provide personalized treatments and treatment plans is not only a static element - it requires for many conditions that we both monitor the development of the condition, but also consider how the normal changes of the body due to ageing and environmental factors continuously impact e.g. chronic conditions. Utilizing AI and regular visits it will become more clear to understand what is normal development, what is disease-driven development and what is truly changing, and hence also pick up on small signals towards treatments that needs to be modified for optimal efficacy.

AI enhancement in healthcare brings lots of innovations to life. One of them is RMT (Remote Monitoring Technologies). I can create an in-house AI ecosystem with monitoring software and wearable devices to track potential diseases in human bodies. It will be beneficial for identifying disease vulnerabilities, enabling informed decision-making.

AI isn't just useful in hospitals. It can also help watch over patients from far away. Devices you can wear and systems at home use AI to track your health all the time. They check things like your heart rate and tell you if something seems wrong. This keeps you safe by catching problems early, even when you're not at the hospital.

AI is a technology , and it has limitations , however a direct fit of this technology with healthcare can happen in 3 ways 1) cost - effectiveness abilities ( How AI integration is saving cost in current operations) 3) remote accessibility ( How AI integration can improve more touch points b/w provider and patients) 4) rapid processing of large number of samples and people ( How AI can save time and improve efficiency in conventional settings)