Interviews
AI now shows up in everyday mental-health chats—from sleep tips to suicidal disclosures—driven by poor access, stigma, and the lure of anonymous, free help. Yet LLMs are unreliable: they err, lose context, miss non-verbal cues, and can reinforce distortions. Crisis-performance evidence is thin, and the red lines remain contested.
Diagnosis of respiratory diseases through lung sounds remains one of the most complex clinical tasks. Even experienced physicians admit that auscultation results are often subjective: one specialist hears a pathology, while another does not. Yet these judgments influence critical decisions – whether to hospitalize a patient, prescribe antibiotics, or assess the severity of their condition.
The digital health market is expanding fast – IQVIA’s Digital Health Trends 2024 estimates there are roughly 337,000 health-related apps today. Behind that impressive number lies a worrying statistics: around 90% of startups never reach a market release, and of those that do, roughly 20% shut down within the first year. For developers and investors, this is a landscape full of hidden traps, where success depends not only on the strength of the idea but also on the ability to navigate dense regulatory filters.