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How Trampoline Parks Can Be A Dangerous Place for Your Kids? FAQs Related To Trampoline &

TechPublicist — Mon, 11 Mar 2024 09:36:30 +0000

A three-year-old kid sustained a serious femur (thigh bone) fracture while jumping on a trampoline at an indoor trampoline park in the United States. His mother’s Facebook post, which included a photo of her kid in a waist-down cast, has gone viral, and she wants to warn other parents.

Trampolines are popular items at toy stores. I recall searching for choices to purchase one for my 7-year-old nephew, but now I’m pleased that I chose against it based on a feeling.

Trampolines may seem to be enjoyable to jump on, but they may result in catastrophic injuries such as fractured bones, head injuries, cervical spine injuries, sprains, bruises, and cuts. Many of these may result in permanent or temporary disabilities. These injuries may result from improper landings when leaping, flipping, or doing acrobatics such as somersaults. Most of the time, catastrophes occur when more than one person is on the trampoline.

The American Academy of Pediatrics strongly recommends

Do not purchase a trampoline for your house.

Choose safer ways to keep youngsters physically engaged.

The American Academy of Pediatrics advises that small and full-sized trampolines never be used at home, in regular exercise classes, or on playgrounds. They should only be used in supervised training programs for gymnastics, diving, and other competitive sports. Only one person should be permitted on a trampoline at any one time.

If you opted to have a trampoline at home (which I wonder why?) The AAP advises the following safety precautions:

Adult supervision at all times.
Only one person may jump on the trampoline at a time.
No somersaults were accomplished.
Maintain proper trampoline cushioning and regularly inspect all equipment.
Repair or replace any broken pieces, including protective padding and the net enclosure.
Homeowners with trampolines should ensure that their insurance covers trampoline-related injuries.
Families should be aware that many accidents occur on the mat itself, and current research does not seem to show that netting or cushioning greatly reduces the risk of harm.

The American Academy of Orthopaedic Surgeons advises that children under the age of six do not utilize trampolines, and that older children do so only under adult supervision. Younger children’s weak bones may not sustain the strain of repetitive leaping, resulting in injuries owing to poor balance.

The play places with trampolines may advertise them for your toddler, but do not succumb to flashy marketing and jeopardize your child’s safety.

FAQs About Trampoline & Child Safety

Q1. Trampoline parks are especially dangerous for young children. Why?

A1. If you have 3- and 4-year-old children who are unable to tie their own shoes, struggle to run up and down a hill, and struggle to climb stairs, placing them on a trampoline, which provides them a lot of additional energy, is a dangerous decision. The amount of energy they use varies depending on each leap and the number of others jumping nearby. It’s not the same as a high school athlete doing gymnastics, or an older child with superior body mechanics and control.

Q2. What kind of injuries do you see in trampoline park accidents?

A2. It is commonly a lower extremity injury. I’ve seen a few youngsters with brain injuries, such as concussions, caused by knocking into someone or a harsher piece of equipment. The younger kids, preschool and early elementary-age children, who come in with serious ankle injuries or fractures, however, stand out. I’ve seen tibia fractures at trampoline parks, as well as ankle sprains and knee fractures.

Q3. Are backyard trampolines any safer, particularly the latest versions with netting or fence surrounding them?

A3. Looking at the statistics, trampoline park injuries seem to have a greater chance of serious injury than backyard trampoline accidents. If you are wounded at a trampoline park, your chances of suffering an injury that need further treatment, such as hospitalization or surgery, seem to be increased.

Often, it is caused by the trampoline’s force inflicting a lower leg injury rather than flying off the trampoline and landing on another surface.

Q4. Are there any ground rules that parents may establish to assist reduce the risks?

A4. I advise parents and children “If you’re doing trampoline parks or if you have a backyard trampoline, the rule should be one person at a time and no equipment on the trampoline, like balls.” I recognize that jumping alone isn’t as exciting, but it’s certainly riskier with other people or items on the trampoline.

Q5. Is the main issue the potential of a "double bounce?"

A5. When I was a youngster, we did this on purpose. We’d say, “OK, jump next to me right as I’m about to hit it” because it’ll give you more power and allow you to soar higher in the air. However, knowing that it will happen and being able to prepare for it and adapt biomechanically is difficult.

When there are numerous individuals leaping about, someone will be double-bounced, particularly if they are not expecting it. And if the person providing that additional bounce is larger than they are, it will be a lot of force for them. The sudden double bounce is likely the most significant cause of these accidents.

Experts On Trampoline

Dr. Rohan Vakta

Sports Orthopaedic Surgeon (Gold Medalist)

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How Generative AI Can Be Helpful in Healthcare?

TechPublicist — Fri, 14 Jul 2023 05:45:06 +0000

From better diagnosis and therapy to drug development and personalised medicine, generative AI offers enormous potential in healthcare. However, there are several drawbacks, including ethical concerns, bias and discrimination, and the necessity to assure accurate and true information. Healthcare organisations must plan for the opportunities and difficulties that generative AI will bring.

Generative artificial intelligence (AI) has the potential to be a transformational force in healthcare, for example, by giving physicians and other healthcare professionals the tools they need to analyse medical data, diagnose patients more effectively, and give more personalised treatment regimens.

As a result, it’s vital for healthcare organisations to understand and plan for the implications of generative AI across the sector.

The Following Are Nine Applications Of Generative AI In Healthcare:

1. Screening and Diagnosis

AI in healthcare, paired with predictive analysis, can aid in the detection and diagnosis of many diseases, hence improving patient outcomes. AI analyses massive data sets and detects illnesses depending on the information entered into its system. Doctors and other healthcare practitioners may use generative AI to develop more rapid and accurate diagnosis and treatment plans for their patients, resulting in better patient outcomes.

2. Medicine That Is Tailored To The Individual

Massive medical databases may be analysed by generative AI algorithms to identify patterns, anticipate results, and improve treatment and wellbeing. These personalised medicine strategies may be used by healthcare practitioners to create better educated treatment regimens and follow-up care for their patients, increasing their chances of success. Healthcare professionals can use generative AI to connect with patients more readily, for as via email and text, to assist patients comply to their medications and/or treatment programmes. Offering patients personalised medicine can lower total healthcare costs in addition to improving results.

3. Enrollment Growth

Generative AI in healthcare can encourage more individuals to enroll in health insurance by providing valuable information and timely reminders, particularly during open enrollment periods. For example, by informing policyholders of policy changes or any essential activities they must take, generative AI may increase policyholder engagement and motivate them to take the appropriate steps on time. Furthermore, because generative AI allows insurers’ healthcare teams to swiftly produce language, they may build several versions of their plans that are customised to different customer categories. Employees nearing retirement, for example, require different alternatives than workers with young children.

4. Drug Development

Data from clinical trials and other sources may be analysed by generative AI systems to find potential targets for new medications and forecast which compounds will be the most successful. This might hasten medication development and bring novel therapies to market sooner and at a lesser cost.

5. Understanding of Unstructured Medical Data

Unstructured medical data, such as electronic health records, medical notes, and medical imaging such as X-rays and MRIs, cause gaps in analysis and must be transformed to a structured format. Generative AI can discover and analyse unstructured data from many sources and transform it to a structured manner to give healthcare professionals with full insights.

6. Maintenance that is Predictive

Hospitals and other healthcare facilities may utilise generative AI to forecast when medical equipment will break, allowing them to better manage maintenance and repairs and reduce downtime.

7. Robotics in Medicine

AI-powered medical robots are used in hospitals to assist with surgical operations such as suturing wounds and offering insights on surgical procedures based on medical data. Medical institutions may teach these robots to interpret health issues using generative AI.

8. Creating New Research Concepts

In healthcare, generative AI may also be utilised to generate new concepts. Users in healthcare, for example, might use ChatGPT to develop ideas by asking questions and receiving quick responses, or just entering a desired subject. For example, a user may inquire, “Which drugs have the best chances of curing migraines?”

9. Avoiding Medical Mistakes

Generative AI can automatically repair spelling problems during documentation work, which is useful for electronic prescriptions, and ensure that the proper data populates the system.

THE DIFFICULTIES OF GENERATIVE AI

While there are some advantages to using generative AI in healthcare, there may also be some disadvantages. In healthcare, for example, generative AI is used to generate synthetic pictures, films, and sounds; however, it is sometimes impossible to distinguish this generated material from genuine information, resulting in ethical difficulties because generative AI may modify real healthcare data. Patients also use generative AI tools to ask questions, interact with one another, and learn more about their medical conditions. As a result, users of generative AI tools must assess how accurate and true the created information is, because AI may struggle to keep up with the most recent facts. Furthermore, giving patients incorrect information might confuse them and jeopardise their health. The use of generative AI in healthcare raises concerns regarding the security of sensitive patient medical data and the protection of patient privacy. Furthermore, there is a risk that someone will get unauthorised access to sensitive healthcare data and misuse it. Bias and prejudice may also be introduced into generative AI algorithms, especially if the algorithms are trained on healthcare data that does not match the population that the data is intended to serve. This might result in incorrect diagnosis and/or treatment recommendations for the intended group. Furthermore, if generative AI algorithms are not employed correctly, they might produce inaccurate or hazardous medical recommendations. Furthermore, healthcare practitioners who rely too much on these algorithms may be unable to make independent decisions. The usage of generative AI in the healthcare industry will continue to grow because to its capacity to produce pictures, text, audio, and more, revolutionising the way consumers and providers view healthcare.