A Webinar on the Future of Artificial Intelligence in Medical Diagnosis with Emerging Technologies

Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize the way medical diagnosis is performed. AI systems use advanced algorithms to analyze large amounts of data, such as medical images, patient histories, and lab results, to identify patterns and make predictions about patient outcomes.

In medical diagnosis, AI can be used in a variety of ways, including medical imaging, disease diagnosis, personalized treatment planning, and early disease detection. By leveraging the power of AI, healthcare providers can make faster and more accurate diagnoses, resulting in better patient outcomes.

AI has already shown promising results in a variety of medical fields, including radiology, pathology, and cardiology. However, the implementation of AI in medical diagnosis is still in its early stages, and further research and development are needed to fully realize its potential. It is, indeed, an important topic of discussion, because a carbon free environment is the need of the hour to save our planet.

And, therefore, BIS Research is glad to announce its upcoming webinar on this particular subject.

Here are all the details:

Webinar Topic: Future of Artificial Intelligence in Medical Diagnosis with Emerging Technologies


The main agenda of this webinar is to understand and explore the following:

•    Policy implications related to AI and digital transformation in healthcare.
•    Initiatives taken and regulations implemented to address cybersecurity concerns.
•    Major factors driving and hindering the growth of AI in medical devices diagnosis.
•    Major players in the ecosystem


Our eminent panellists for this webinar will be:

Paul Fletcher-Dyer – Paul Fletcher-Dyer is the global AI Compliance Director and DPO for Cognetivity Ltd., a medical technology company developing an AI platform for early detection of cognitive impairment, dementia and Alzheimer's disease. Paul specializes in artificial intelligence and machine learning medical devices. He works on novel applications of these devices and the merging of software. Paul deals with the approval of these devices, by taking care of the data protection needs and getting Cognetivity’s novel cognitive assessment tool and the integrated cognitive assessment (ICA) multiple country approvals.

Swati Sood – Swati Sood is a Principal Analyst in the Healthcare Team at BIS Research, Inc. and is responsible for covering technological and market developments in medical devices, digital health, and precision medicine.

Within the above-mentioned areas, Swati engages with a range of established and emerging clients across go-to-market strategy, product strategy, market access, and predictive analytics. She has co-authored and supervised more than 100 market research projects. She has an overall experience of 10 years in market research.

Shreya Srinivas – Shreya Srinivas is a research analyst, in the healthcare team at BIS Research, Inc., and is responsible for handling reports and client deliverables related to medical technology, digital health, robotics, and precision medicine markets.

Within the above-mentioned areas, Shreya has delivered over 20 global market reports, while meeting specific client requirements..

Why should you attend the webinar?

Apart from the fact that several of expert minds from industry will be a part of this extensive webinar, this will be a great opportunity to:

•    Understand the future of medical diagnosis and how AI will change it.
•    Identify the key trends in the ‘AI in medical diagnosis’ space.
•    Explore upcoming technologies in AI medical diagnosis.
•    Assess the major challenges hindering the adoption of AI in medical diagnosis.
•    Explore market opportunities in different regions.
•    Analyse the futurist scenario of the AI medical diagnosis industry.

Timing and Registration:

The webinar is going to take place on 4th April’23 at following global timings:

•    10:00 A.M. (EST)
•    3:00 P.M. (CET)
•    7:30 PM (IST)

Visit our website and register for the event today.

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