Health care has come a long way and with the integration of technologies including artificial intelligence, machine learning¹ and natural language processing, clinicians derive insights from data with better outcomes. At the same time, the adoption of technology in healthcare has faced challenges with health care providers unable to harness the power of technology to address patient problems. Human-centered design is one framework gaining traction in the health care world, with physicians using frameworks to understand patient problems and address them. The human-centered model has the interest of patients and enables collaboration and communication. Simply put, human-centered design² brings together all stakeholders including patients, clinicians and technology to offer seamless experiences across the board.
A new study from China has found that an AI system can best some doctors when it comes to diagnosing common childhood diseases. The study, published in Nature Medicine yesterday (Feb. The study trained a deep-learning system on 101 million data points generated from the electronic records of 1.3 million patient visits to a medical center in Guangzhou. Researchers found that the AI system was able to meet or outperform two groups of junior physicians in accurately diagnosing a range of ailments, from asthma and pneumonia, to sinusitis and mouth-related diseases. The AI was also able to meet or exceed diagnostic performance with some groups of senior physicians, for instance, in the category of upper respiratory issues.
Two of the most significant predictions for the new decade are that AI will become more pervasive, and the U.S. health-care system will need to evolve. AI can augment and improve the health-care system to serve more patients with fewer doctors. However, health innovators need to be careful to design a system that enhances doctors' capabilities, rather than replace them with technology and also to avoid reproducing human biases. A recent study published in Nature (in collaboration with Google) reports that Google AI detects breast cancer better than human doctors. Babylon Health, the AI-based mobile primary care system implemented in the United Kingdom in 2013, is coming to the U.S. Health-care is an industry in need of AI assistance due to a shortage of doctors and physician burnout.
Researchers in the U.S. and China have developed a system that uses artificial intelligence to diagnose common childhood conditions. Researchers in the U.S. and China have developed a system that uses artificial intelligence (AI) to automatically diagnose common childhood conditions after considering patients' symptoms, history, laboratory results, and other clinical data. The researchers said during testing, the system was highly accurate, and could one day assist doctors in diagnosing complex or rare conditions. They trained the system on medical records from nearly 600,000 Chinese patients who had visited a pediatric hospital over an 18-month period. The system uses a neural network to recognize patterns in text, as well as in medical images.