Changing working dynamics to towards use of meaningful AI tech and a balanced physician workload – a realistic work model

A use case on AI in breast care examining the accuracy of AI algorithms in comparison to results of the average Radiologist

The Covid test line proved just 40 robots can test 100k samples of saliva a day. With track and trace of those samples within 4 hours and patient records updated within 8, the doors open to applying the same digital intelligence to prostate, cervical and ovarian cancer. 30 million AI assisted cancer screenings a year become game-changing. But what happens next with this ‘big data’ – and how is it narrowing the gap from information translation from data to diagnosis? Hear hard facts and a roadmap of how it’s being done from Covid to cancer.

Using the data from 100k patients who have been treated to date with human clinicians in a virtual environment, how can it be done in a safe way and how is it being evidenced? What are the potential regulatory hurdles, the medical device status, and oversight required? Hear a practical use case on setting up a platform for clinicians to patients in secure environment, data gathering processes to facilitate care mentoring via AI with the ultimate goal to provide wider access and scale

How do you take the NHS forward from a reactive to a proactive environment? Unburdening ICSs from legacy health systems and fully embracing intelligent health initiatives that have already become embedded across multiple Trusts has meant the discussion is steering away from ‘if’ to ‘how?’ and fast. Hear the experts discuss significant clinical pathway transformations and process redesigns needed for leaders to embrace innovative tech that enables sustainable clinical and operational transformation at scale and pace. The experts dive into the ‘how’ behind converging clinical systems, sharing and accessing central data warehouses, building business intelligence platforms, and utilising data science resource effectively. Moving from the ‘in theory’ to the ‘what do you do with the collected data?’ and ‘how do you feed it back to the individual?’ to the genomics and preventative plans, all the hard and real questions get answered.

Never shared before insights from the DERM pilot. This unmissable case study brings you the strategic, clinical and deployment leads that steered the DERM pilot in secondary care, used in addition to teledermatology hubs where images of skin lesions are captured to triage cases and find the most appropriate treatment pathway for each patient. DERM uses AI algorithms to analyse specialist magnified images of skin lesions so that patients can be assessed quickly and receive life-saving treatment promptly if required. Find out the exact challenges shared from a clinical perspective, the strategic decision making process, implementation timelines, processes and glitches with ‘must have’  pointers on adoption of AI in skincare at scale and tips on what to avoid