AI in medicine: useful technologies for diagnosis and treatment

Google DeepMind Health
Used for analyzing medical images, including eye scans and CT scans. It helps detect diseases at early stages, especially in ophthalmology and oncology. The system is trained on large datasets, making it effective for routine diagnostics. It is often used as an additional tool for physicians to reduce the likelihood of errors.

IBM Watson Health
Processes medical data and assists physicians in making treatment decisions. It can analyze patient history, research, and clinical guidelines. It is frequently used in oncology to select therapy. Despite criticism, it remains one of the most well-known AI systems in healthcare.

Aidoc
Specializes in real-time analysis of CT scans. It helps physicians quickly identify critical conditions, such as internal bleeding or blood clots. The system prioritizes cases requiring urgent attention. This is particularly useful in overloaded hospitals.

Tempus
Focuses on personalized medicine, especially in oncology. It analyzes patient genetic data and helps select more precise treatments. It is used by physicians to make therapeutic decisions. It is one of the key players in data-driven medicine.

PathAI
Operates in the field of pathology—analyzing tissues and biopsies. It helps detect cancer and other diseases with high accuracy. It is used as a tool to improve diagnostic quality. It is especially valuable where precision and detail are critical.

Butterfly iQ
A portable ultrasound device with AI support. It connects to a smartphone and enables diagnostics anywhere. AI helps correctly interpret images. Ultrasound becomes accessible outside major clinics.