Artificial intelligence (AI) is reshaping evidence-based clinical decision-making. From the perspective of clinical decision-making, this paper explores the collaborative value of AI in life-cycle health management. While AI can enhance early disease screening efficiency (e.g., medical image analysis) and assist clinical decision-making through personalized health recommendations, its reliance on non-specialized data necessitates the development of dedicated AI systems grounded in high-quality, specialty-specific evidence. AI should serve as an auxiliary tool to evidence-based clinical decision-making, with physicians’ comprehensive judgment and humanistic care remaining central to medical decision-making. Clinicians must improve the reliability of decision making through refining prompt design and cross-validating AI outputs, while actively participate in AI tool optimization and ethical standard development. Future efforts should focus on creating specialty-specific AI tools based on high-quality evidence, establishing dynamic guideline update systems, and formulating medical ethical standards to position AI as a collaborative partner for physicians in implementing life-cycle health management.
Objective To analyze the difference of clinical characteristics and vascular risk factors between patients with unexplained non-acute dizziness and headache, so that to bring new perspective on prevention of vascular risk factors and enhancement of symptoms among different patients. Methods The data of patients in the cerebrovascular disease clinic of the Department of Neurology, West China Hospital of Sichuan University between July 1th and September 30th, 2021 were collected retrospectively. The included patients were divided into dizziness group or headache group according to the complained. The clinical characteristics and risk factors of the two groups were compared. Results A total of 273 patients were included. There were 198 cases (72.5%) in dizziness group and 75 cases (27.5%) in headache group. Compared with headache group, patients in dizziness group were older, with a shorter course of disease, and accounted for a higher proportion of patients with symptoms related to body position, higher proportion of patients with hypertension and carotid plaque, and more vascular risk factors (P<0.05). Logistic regression results showed that patients with symptoms related to body position [odds ratio (OR)=7.025, 95% confidence interval (CI) (1.772, 28.488), P=0.007], at least one [OR=2.461, 95%CI (1.298, 4.664), P=0.006], two or more vascular risk factors [OR=2.314, 95%CI (1.033, 5.186), P=0.042] were independently associated with dizziness. The longer course of disease [OR=0.994, 95%CI (0.990, 0.997), P=0.001] was independently associated with headache. Conclusion Patients with non-acute unexplained dizziness and headache, especially those with dizziness, should pay more attention to the inquiry and treatment of vascular risk factors and psychopsychological factors.