Valerie Phillips, a healthcare expert at PA Consulting, explains the benefits of using AI in medical diagnosis.
The article discusses the ways in which AI technologies can help staff with medical diagnosis, and is illustrated through some examples from across the UK healthcare sector.
Valerie shares some examples: “Kheiron Medical deploys AI software and deep learning tools to support radiologists for breast cancer screening.”
She also mentions HeartFlow technology which “creates a personalised 3D model of a patient’s heart from their coronary CT scan and can assess how a blockage impacts blood flow”.
“By bringing together multiple data sources, the doctor then does not have to search for the information they need which speeds up their diagnosis and decision making. Equally, automating manual tasks and enabling physicians to confirm, evaluate, quantify, track and report actions automatically makes them more efficient,” Valerie explains.
Valerie concludes by explaining where the medical profession is and what still needs to be done: “There needs to be careful review of the type of AI, the applications on offer and the outputs delivered, triage, diagnosis, clinical-decision making, second reading, the specific clinical area, the established clinical practice, risk assessment and the regulatory environment. Only then can AI become a standard medical tool.”