Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the healthcare industry by improving patient care, reducing costs, and streamlining processes. They can be used for diagnosis, treatment planning, predictive analytics, clinical decision support, administrative tasks, and remote patient monitoring. However, there are risks and challenges associated with their use, including bias and discrimination, misdiagnosis and errors, privacy and security concerns, lack of transparency, and regulatory challenges. To ensure the safe and effective use of AI and ML in healthcare, appropriate safeguards and regulations must be developed.
- Body Fitness: 5 Basic Health Rituals - ManipalBlog says:
- Radhika Jadhav says:
- Dr shafiullah says:
- Shivaji says:
- Raju Paul says:
- amr antibiotic resistance antibiotics anticoagulation apex apex beat auscultation bacteria bleeding breathlessness bronchial clotting covid-19 crackles dabigatran erythrocyte sedimentation rate esr exercise gray hair grey hair heaving high-risk hyperdynamic india inflammation microorganisms multiple myeloma myeloma NOAC pmi pneumonia resistance respiratory rhonchi rouleaux senile sounds stethoscope tapping tuberculosis vesicular vitamin K warfarin weight loss wheezes