AI & technology
How technology is changing specialty work
Each guide looks at where AI and digital tools are changing tasks and workflows, and where clinical judgment, procedures, context and communication remain central.
Anesthesiology
Hemodynamic prediction, monitoring, risk prediction and automated drug-delivery support.
Community Medicine
Surveillance, forecasting, risk stratification and resource-planning support.
Dermatology, Venereology and Leprosy
Image classification and triage are advancing, but dataset bias and real-world validation remain important.
General Medicine
Documentation, risk prediction, guideline retrieval and longitudinal review are increasingly assisted.
General Surgery
Risk prediction, video analysis, preoperative planning, intraoperative guidance and robotics.
Obstetrics and Gynecology
Ultrasound, fetal monitoring, risk prediction and surgical-planning support.
Pediatrics
Risk prediction, EHR review, treatment support and pediatric monitoring; pediatric datasets require careful validation.
Pathology
Digital pathology, whole-slide imaging, triage and AI-assisted image analysis.
Psychiatry
Screening, language analysis, digital phenotyping and prediction remain adjunctive with privacy and bias concerns.
Radiodiagnosis
Image interpretation, workflow triage, reporting support and quality assurance are among the most active clinical AI areas.
Endocrinology
CGM, insulin algorithms, risk prediction and decision support.
Diabetology
CGM interpretation, insulin dosing, closed-loop systems and complication screening.