THE‘Artificial intelligence (IA) is radically transforming the world of medicine, opening scenarios until a few years ago unthinkable. From the early diagnosis of cardiovascular diseases, to the advanced monitoring of diabetes, up to the personalized management of respiratory pathologies, the IA is establishing itself how strategic ally of doctors. During an important international congress promoted by Menarini Foundation In Rome, worldwide experts have illustrated how this technology is revolutionizing not only clinical practice, but also the research and training of health professionals.
The goal is not to replace doctors, but to enhance their skills, reduce diagnostic errors, lighten the administrative load and offer more and more care customized and effective. As he points out Stefano del PratoPresident of the Menarini Foundation «It will not be artificial intelligence to replace doctors, but the doctors will be able to exploit it to replace those who will not do it ».
The ia redesigns modern healthcare
Artificial intelligence (IA) is revolutionizing modern medicine. This is not a distant future, but a change already in place: faster diagnosis, personalized care, reduction of clinical errors and more effective management of patients. In Rome, the Menarini Foundationin collaboration with Isola Gemelli – Tiber Island HospitaltheUniversity of Central Florida College of Medicine, Sovaris ai and the Foundation for Gender-Specific Medicineorganized an international congress dedicated to these transformations.
From early diagnosis to personalized care
Artificial intelligence systems are already able to analyze huge quantities of medical images – ECG, radiographs, CT and magnetic resonances – with a comparable precision, and sometimes higher, to that of the most experienced clinicians.
Thanks to the use of advanced algorithms, it is possible to integrate genetic data, biomarkers, clinical history and environmental factors, thus building a unique picture for each patient. Thus was born the precision medicinewhich aims to minimize side effects and maximize therapeutic effectiveness.
How the IA improves the medical-patient relationship
A often underestimated benefit of the AI is the reduction of the administrative load for doctors. Automating part of the bureaucracy, the free precious time to establish a more empathic and effective dialogue with patients. “Empathy, compassion and critical thinking remain irreplaceable values,” he underlines Of the lawnhighlighting how technology does not affect the humanity of the profession, but enhance it ».
The IA will not replace the doctors
The IA can never completely replace the doctor. Health care requires a holistic approach that takes into account the emotions, personal history and the living conditions of patients. The specialists who will be able to integrate the digital tools in their practices will be benefited from those who remain anchored to old methods.
Advanced diagnostics: medical images under the AI lens
ECG, CT, Tac, Resonances and Radiographies with greater precision
Thanks to the AI, subtle anomalies invisible to the human eye can be identified earlyly. This means more timely diagnosis and, consequently, more effective care.
Towards personalized medicine based on data
By combining genetic and clinical data, the IA allows you to create “tailor -made” therapeutic plans for each individual.
Digital twins and new technological frontiers
Complex simulations and epidemics management
The future will see the birth of Digital Twinsvirtual models of patients who will allow you to simulate complex interventions and predict the spread of epidemics and pandemics.
Autonomous surgical robots and high -capacity networks
Robotic surgery, enhanced by IA, will open first unthinkable scenarios, with increasingly safe and precise procedures.
The ethical challenges of the AI in medicine
1. Privacy and sensitive data protection
The effectiveness of algorithms depends on the use of enormous quantities of health data. However, this raises questions about the protection of privacy and the security of personal information.
2. Professional liability and “black box” systems
Who is responsible for a medical error if the decision derives from an algorithm? This theme remains open and requires clear regulations.
3. Medical training and new educational models
To deal with this revolution, medical training will have to evolve. Future professionals will have to develop digital and ethical skills.
Cardiology and artificial intelligence: an ally of the heart
According to Professor Filippo createsthe IA has transformed the electrocardiogram into a powerful diagnostic tool. An IA model applied to ECG data showed a sensitivity of the 95.6% in detecting ventricular dysfunctions, with a predictive capacity 24 times higher compared to traditional algorithms.
Traditional and new risk factors: a personalized picture
The IA integrates known risk factors (LDL cholesterol, hypertension, diabetes) with emerging elements such as pollution, stress and social isolationthus providing a more precise and individualized risk picture.
Diabetes and artificial intelligence: new perspectives
1. Identify type 1 diabetes ten years earlier
Medical research is exploiting the IA to anticipate the diagnosis of type 1 diabetes even ten years. Second Alfonso Galderisiassociate professor of pediatrics at the University of Yale, “in the United States there is a technology based on artificial intelligence that manages to highlight early changes in insulin secretion already 10 years before diabetes occur”. This approach opens the way to one targeted preventionallowing to identify those who have greater risk of developing the disease and who could benefit from preventive treatments.
2. Artificial pancreas and metabolic digital twins
Another extraordinary innovation is the artificial pancreasa system enhanced by IA that simulates the patient metabolism and automatically regulates the administration of insulin. Boris Kovatchevdirector of the Center for Diabetes Technology of the University of Virginiahe explains: “In six months, patients with artificial pancreas have managed to keep the blood glucose in the blood longer levels, going from 67.3% to 76.3%, with a reduction in glycated hemoglobin from 6.8% to 6.6%”.
3. Diabetic retinopathy: faster and more precise diagnosis
Another field in which the IA has given concrete results is that of diabetic retinopathyone of the main causes of blindness in adults. IA algorithms are now able to identify early signs of the disease in retinal images with greater precision than traditional tests. As he points out Of the lawn, «By automating the screening process, the IA systems help to reduce waiting lists and to shorten the times for diagnosis, speeding up the beginning of the treatments “.
Pneumology: the IA listens to the lungs
Diagnosis of asthma, COPD and lung cancer
In pneumology, artificial intelligence is already a precious tool for early diagnosis and management of respiratory pathologies, both pediatric and adulthood, such as Astma, COPD, lung interstiziopathies and lung cancer. Second Leonardo Fabbrieminent scholar of internal medicine and respiratory diseases at the University of Ferrara, “Thanks to the AI, today we can develop personalized therapies for pathologies such as serious asthma and lung cancer, with improvements in quality and waiting of life unthinkable up to 10 years ago “.
Automated analysis of respiratory sounds
One of the most promising innovations concerns theAutomated analysis of respiratory noises. Thanks to the AI, coughs, hiss and rancols are recorded and analyzed in a reproducible way, allowing a more precise diagnosis and a Distance monitoring of patients. The ability to integrate unlimited quantities of clinical, genetic and environmental data also allows you to switch from an approach “for illness” to an approach for patientparticularly useful in complex cases with multiple chronic pathologies.
The future of the doctor in the era of artificial intelligence
The advent of the AI does not reduce the role of the doctor, but it redefines. The specialists of the future will have to develop new skills:
Digitalto correctly interpret the results of the algorithms
Ethicalto guarantee transparency and data protection
Communicativeto maintain the human relationship with patients
As he points out Of the lawn, “Medical training must be rethought to prepare the doctor of the future, capable of governing technology without being dominated by it”.