4 Topic Commentaries

AI may ease patient decision-making in rhinology

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  Rickey Carter, PhD

  Biostatistics

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  Mayo Clinic

  AI is going to empower health care professionals to delegate some aspects of their job to computers, allowing them to spend more time with patients. The goal is not to replace clinicians, but to enhance the shared decision-making process between providers and the people they serve.

  Source
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  Sophia Z. Shalhout, PhD

  Otolaryngology–Head & Neck Surgery (Head & Neck Oncology)

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  Harvard Medical School / Mass Eye and Ear

  The goal of our study was to develop a hybrid machine learning model specifically for MCC, test it using real-world patient data, and create an online tool to assist clinicians in making more precise, personalized treatment decisions.

  Source
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  Isaac S. Kohane, MD, PhD

  Biomedical Informatics

  •

  Harvard Medical School

  Having an instant second opinion after any interaction with a clinician will change, for the better, the nature of the doctor-patient relationship.

  Source
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  Bernard S. Chang, MD, MMSc

  Neurology / Medical Education

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  Harvard Medical School

  What most excites me about AI’s promise in medicine is that these technological tools will allow physicians to spend more time on the human aspects of the profession, which is sorely needed, while facilitating the ability to access information quickly, analyze large amounts of important data, and make the difficult connections necessary to consider the rare diagnoses, the less obvious treatment paradigms, and ultimately the optimal care for patients.

  Source