Editing Ai Healthcare (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Clinical decision support system (CDSS)''' — An AI system that provides clinicians with patient-specific assessments, recommendations, or alerts to aid diagnosis and treatment.
* '''Electronic Health Record (EHR)''' — A digital record of a patient's medical history, used as a primary data source for healthcare AI.
* '''Medical imaging AI''' — AI systems that analyze radiological images (X-ray, CT, MRI, ultrasound) for diagnosis or screening.
* '''Computer-aided detection (CADe)''' — AI that flags regions of interest in medical images for radiologist review.
* '''Computer-aided diagnosis (CADx)''' — AI that characterizes detected findings (e.g., classifying a nodule as malignant or benign).
* '''Pathology AI''' — AI systems analyzing histological slides (tissue samples stained and scanned digitally).
* '''Drug discovery AI''' — AI applied to identifying drug candidates, predicting molecular properties, and designing new compounds.
* '''Genomics AI''' — AI for analyzing genetic sequences, identifying variants, predicting disease risk.
* '''Sepsis prediction''' — A common CDSS application: predicting sepsis onset hours before clinical presentation using vital signs and lab values.
* '''FDA clearance''' — Regulatory approval required in the US for AI/ML medical devices. Over 600 AI-enabled medical devices have received FDA clearance or approval.
* '''HIPAA''' — US law governing the privacy and security of protected health information (PHI), governing healthcare AI data use.
* '''Sensitivity''' — The proportion of actual positive cases correctly identified (true positive rate). Critical for screening applications.
* '''Specificity''' — The proportion of actual negative cases correctly identified (true negative rate). Critical to avoid false alarms.
* '''AUC-ROC''' — Area under the receiver operating characteristic curve; a standard metric for diagnostic AI systems.
* '''Survival analysis''' — Statistical methods for modeling time-to-event outcomes (death, disease progression); AI extends these with richer features.
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