Artificial intelligence (AI) is rapidly transforming the healthcare industry, and the medical software community is no exception. AI is being used to automate tasks, improve decision-making, and develop new diagnostic and treatment methods. As a result, AI is creating new opportunities for jobs in the medical software community.
Here are some of the ways that AI is enhancing jobs in the medical software community:

• Automating routine tasks. AI can automate many of the routine tasks that are currently performed by medical software engineers, such as data entry, coding, and testing. This frees up engineers to focus on more complex and creative tasks, such as developing new algorithms and designing user interfaces.
• Improving decision-making. AI can be used to analyze large amounts of data to identify patterns and trends that would be difficult for humans to detect. This information can be used to improve decision-making in a variety of areas, such as patient diagnosis, treatment planning, and drug development.
• Developing new diagnostic and treatment methods. AI can be used to develop new diagnostic and treatment methods that are more accurate and effective than traditional methods. For example, AI is being used to develop new algorithms for detecting cancer and other diseases.

These are just a few of the ways that AI is enhancing jobs in the medical software community. As AI continues to develop, it is likely to create even more opportunities for jobs in this field.
Here are some specific examples of how AI is being used to enhance jobs in the medical software community:

• IBM Watson Health​ is a suite of AI-powered healthcare solutions that are used by hospitals, clinics, and other healthcare organizations to improve patient care. Watson Health can be used to automate tasks such as data entry and coding, as well as to analyze patient data to identify patterns and trends.
• Google Health is a personal health record platform that uses AI to help people manage their health. Google Health can be used to track health data, such as weight, blood pressure, and medications. It can also be used to find clinical trials and connect with healthcare providers.
• Apple Health is a health and fitness tracking app that uses AI to analyze data from the iPhone and Apple Watch. Apple Health can track steps, calories burned, and heart rate. It can also be used to track sleep patterns and menstrual cycles.

These are just a few examples of the many ways that AI is being used to enhance jobs in the medical software community. As AI continues to develop, it is likely to create even more opportunities for employment in this field.
If you are interested in a career in the medical software community, there are a few things you can do to prepare:

• Learn about AI. Take courses or read books about AI and machine learning.
• Develop your coding skills. AI is often implemented using programming languages such as Python and R.
• Gain experience with healthcare data. Learn how to collect, clean, and analyze healthcare data.
• Network with people in the field. Attend conferences and meetups, and connect with people who work in the medical software community.

By taking these steps, you can prepare yourself for a career in the medical software community, where AI is transforming the way healthcare is delivered.
In addition to the opportunities mentioned above, AI is also creating new jobs in the medical software community in the following areas:

• AI research. There is a growing need for researchers who can develop new AI algorithms and applications for healthcare.
• AI product development. There is a need for product managers, engineers, and designers who can develop and deploy AI-powered healthcare products.
• AI education. There is a need for educators who can teach others about AI and its applications in healthcare.
• AI policy. There is a need for policymakers who can develop regulations and standards for the use of AI in healthcare.

The field of AI is rapidly evolving, and the opportunities for jobs in the medical software community are only going to grow. If you are interested in a career in this field, now is the time to start preparing.

Adobe Inc agreed to buy cloud-based designer platform Figma for $20 billion on Thursday, raising investor concerns about the high price, causing the Photoshop maker's market value to fall by more than $30 billion.

The cash-and-stock transaction, the largest buyout of a privately held software startup, will give Adobe ownership of a company whose web-based collaborative design and brainstorming platform is widely used by tech firms such as Zoom Video Communications (ZM.O), Airbnb Inc, and Coinbase (COIN.O).

The $20 billion exit represented a significant victory for Figma's venture capital backers, which included Index Ventures, Greylock Partners, and Kleiner Perkins.

Adobe investors were less impressed, with the company's stock dropping 17% on Thursday. Many of them said they understood the strategy, but that Adobe overpaid for a company that was valued at around $10 billion in a private fundraising round a little more than a year ago.

Adobe stated that the transaction would be accretive of its earnings three years after they completed it. It said that Figma's total addressable market in design, whiteboarding, and collaboration would reach $16.5 billion by 2025.

Adobe is one of the most acquisitive companies in Silicon Valley, having purchased numerous businesses over the years to defend market share against competitors. Prior to Figma, the company's largest acquisition was Marketo for $4.75 billion in 2018. It has also acquired other companies in the last 24 months to focus on collaboration tools, such as video collaboration software Frame.io, social media marketing startup ContentCal, and collaboration tool maker Workfront.

Subject to regulatory approvals, the transaction is expected to close in 2023.

Figma, based in San Francisco, will continue to be led by co-founder and CEO Dylan Field and will operate independently. If either company cancels the agreement, they will be required to pay a $1 billion termination fee.

Meanwhile, according to Refinitiv data, Adobe's fourth-quarter revenue forecast of $4.52 billion fell short of the $4.58 billion predicted by analysts.

The company's third-quarter profit dropped nearly 6%, owing to a stronger US dollar and higher costs.