Perspectives, potential, impacts and models of artificial intelligence in Healthcare during the event organized by Deloitte at Mudec Milan.
In this article the focus is on: AI & Healthcare: applications and prospective| the “Babylon” method for medical assistance | new technologies & scenarios for JSB pharma consulting | Conclusions.
Among the relevant speakers of the event that we attended there were: Umberto Stefani (Group CIO & DTO, Chiesi Farmaceutici), Pedro Berjano (Orthopedic Spine Surgeon, CEO of Ortho-Spine, Director of the GSpine4, Spine Surgery Division IRCSS Istituto Ortopedico Galeazzi) and Sergio Decherchi (Technologist, Computational Chemistry and Machine Learning Expert, Istituto Italiano di Tecnologia, Co-founder of BiKi Technologies).
AI & Healthcare: applications and prospective
All the speeches have described the future of healthcare towards a digital transformation through the use of advanced platforms such as blockchain, smart data e AI: in the health sector, there are now 200 cases of artificial intelligence applications, while general AI application model in healthcare promotes new processes and management models, exploiting clinical databases to improve the management of resources and together to optimize patient care.
Hospitals, research centers and pharmaceutical companies are increasingly adopting solutions based on artificial intelligence: through machine learning, for example, AI is able to support the doctor in making decisions and manage daily clinical practice of medicine (basic, oncology, orthopedics, cardiology and metabolic diseases) with very precise tasks such as:
- identify in advance the disease
- proactively intervene in therapy management and in disease progression evaluation
- use predictive values for prevention
In Helthcare, AI has the goal to change the patient vision, support doctors, speed up processes and reduce costs.
Big data are already used in precision medicine, genomics, drug discovery and target identification by promoting and improving the development of new drugs, enhancing clinical research.
There is an acceleration in the use of AI also in surgery, both as technical and practical assistance to the doctor through robotics, and as an intelligence capable of showing in advance the possible adverse events and patient complications.
With a previous stratification of patients and the crossing of an important amount of data – difficult to manage before the advent of these technologies – it is now possible to set up targeted and personalized cares, introducing new paradigms of care and enhancing precision medicine and advanced therapies.
“Babylon” model for Healthcare
Extremely promising is the ‘Babylon’ case, English application that use AI as model to supply medical assistance. AI is programmed as a doctor brain and, it’s able to understand and recognize human symptoms to take a medical history based on the patient’s history, to identify the symptoms and to recommend a treatment, communicating with a doctor. This allows to create an immediate, clear and personalized service accessible to all, everywhere and at any time. Nowadays, the platform collaborates with health systems of different nations: UK, USA, Canada, Rwanda and Cina and soon Italy.
New technologies & scenarios for JSB pharma consulting
AI technologies are deeply changing our work and they will change the management of our regulatory activities for clinical research and experimentation (as a CRO), of the production processes compliance, pre and post market drug safety and vigilance, with a progressive impact on the main processes in which we assist pharmaceutical companies.
Not by chance, we have talked of AI, Blockchain, Big Data during a recent event (such as Wired Health 2019) as blockchain developers with a particular focus on the Pharma world. These systems are fundamental to ensure reliability, uniqueness and consistency of data combined with quality of performance and predictive skills, as well as patient safety, never seen before.
Artificial Intelligence in life science has many advantages in different fields and provides the tools for:
- relieve health workers of monotonous and repetitive tasks
- favour early and accurate diagnoses, therefore more targeted therapies
- reduce inefficiency related to human mistakes
- accelerate the development of new drugs and therapies
- facilitate assistance to vulnerable people
- improve quality of life and patient life
- improving training of surgeons and other health professionals, without real patients risk
High investments in the healthcare and pharmaceutical sectors increase the value and support the strengthen of AI in healthcare, despite the persistence of barriers, starting from the resistance to change and the poor distribution of IT systems. Electronic medical records are an example, which would ensure the high quality of data processing.
3 readings to study in deep impacts and models of artificial intelligence in healthcare:
Thanks to Bianca Maria Salvatore for fundamental ideas from the event.