Here's list of the scientific papers I've used: www.notion.so/Reference-Li...
Taking creatine can raise brain creatine levels by around 10%, but the optimal level has not been established. We need more research to make a proper conclusion.
4. Improve cognitive performance 4/4
Taking creatine can raise brain creatine levels by around 10%, but the optimal level has not been established. We need more research to make a proper conclusion.
4. Improve cognitive performance 3/4
Even though several studies have shown improvement in cognitive function, there are also studies that found no effect. The differences in results could be because they use different ways to measure brain function and different amounts of creatine.
4. Improve cognitive performance 2/4
Creatine is also shown to enhance memory performance in healthy individuals, particularly in older adults aged 66-76 years.
Other studies in vegetarian adults, and sleep deprived people, taken creatine improved cognitive tasks.
4. Improve cognitive performance 1/4
Young adults, average age, 25 years who supplemented with 8 grams of creatine per day for 5 days experienced less mental fatigue when asked to continually complete a unique serial calculation compared to the group who took a placebo.
3. Enhance muscle recovery period
Creatine may reduce the muscle soreness, muscle damage and inflammation in hours and days after exercise.
2. Increase muscle growth
Creatine retains water into the muscle cells. Muscle is actually made of approximately 75% water by volume and some studies suggests that the water retention into the muscles, may increase protein synthesis and enhance muscle growth.
1. Increase muscle strength 2/2
Another study that looked at 22 studies, found that individuals who did train and took creatine had 8% increase in strength compared to those who did not take creatine.
1. Increase muscle strength 1/2
A study from 2022 analysed 16 randomized control trials and showed that creatine had a positive effect on muscle strength, and muscle growth in healthy young individuals, both in group that were training and the group who were not training.
5 benefits of Creatine supplements:
1. Increase muscle strength
2. Increase muscle growth
3. Enhance muscle recovery period
4. Improve cognitive performance
🧪 Ready or not, more medical AI is coming.
KLAS reports nearly 20% of healthcare orgs use AI, with larger systems (42%) leading adoption. Popular uses: neurology, breast cancer screening, lung nodule detection 🩺🖥️ #MLSky
5. Analysing pathology scans and samples
6. Detecting risk of falls using video cameras
7. Performing therapy as chatbots
8. Predicting patient deterioration in real-time
medicalfuturist.com/what-ai-can-...
The Medical Futurist gives 8 real-world examples of how AI is already being used in healthcare:
1. Generating clinical notes during consultations
2. Analysing radiology scans
3. Triaging patients
4. Controlling assistive robots
Source: DOI: 10.1016/j.mcpdig.2024.10.001
Mayo Clinic found AI ECG analysis for weak heart pumps is cost-effective in outpatient settings. In a study of 22,000 participants, the AI-ECG tool helped identify patients who needed follow-up echocardiogram testing, proving significantly more economical when used in outpatient care.
The study included 3,662 CT scans, the AI detected arterial calcium indicating heart disease risk (2.2x higher cardiovascular events) - and was also successful at finding osteoporosis in separate lung cancer screening scans; however, more research needed on prevention effectiveness.
2/2
AI-enabled analysis of images meant to catch one disease can reveal others: NYU Langone Health researchers developed an AI tool that finds hidden health problems in existing CT scans.
1/2
medicalxpress.com/news/2024-12...
Instead of using multiple different tools, doctors and researchers can now use BiomedParse as a single solution for analyzing various types of medical images.
The model can handle 9 different types of medical images and understands written descriptions of what to look for.
Trained on over 6 million images paired with text descriptions, and performs better than existing tools, especially when dealing with irregularly shaped objects.
BiomedParse, a new AI model that makes analyzing medical images more efficient by combining 3 tasks that were previously done separately:
Recognition: identifying what's in image
Detection: finding where objects are located
Segmentation: outlining specific areas in pixels
youtu.be/WUPUypgmB-s?...
Key feature 3/3
Error Recovery: If the robot drops a needle, it automatically picks it up and continues the procedure, showcasing its adaptability.
Key feature 2/3
Adaptive Accuracy: the team trained the robot to perform 3 tasks: manipulate a needle, lift body tissue, and suture — as skilfully as human doctors.
Key feature 1/3
Imitation Learning: The robot learned surgical techniques by analyzing hundreds of videos from the da Vinci Surgical System, which is widely used worldwide, bypassing the need for manual programming.
Johns Hopkins University researchers, along with Stanford University, have developed a surgical robot that learns by observing expert surgeons.
This breakthrough helps accelerate the path to surgical autonomy, reducing medical errors and improving surgical accuracy.
hub.jhu.edu/2024/11/11/s...
One of world's leading hospitals, Karolinska University Hospital, uses AI tool CRAB, to learn from medical errors. The system analyzes patient outcomes to spot preventable complications, helping achieve high survival rates and very low complication levels.
healthcare-in-europe.com/en/news/karo...
3) Participants weren't trained in prompt engineering
4) Participants could choose how and when to use the AI system - this was done on purpose to match how they would use it in real hospital settings.
SOURCE: doi:10.1001/jamanetworkopen.2024.40969
#AI #AIInHealthcare
Here are 4 study limitations:
1) The sample size was small with only 50 participants and 6 medical cases.
2) While these cases were carefully chosen, this limited number can't represent the full variety of medical cases.
A new study showed that AI alone performed better than both:
• physician + AI
• physician + conventional resources only
