ai

ai.html

@@ -75,6 +75,10 @@ <h3 style="margin-top: 20px;">Outline</h3>
           <a href="#newsletters">Newsletters</a>
         </li>
 
+        <li>
+          <a href="#people">People to Follow</a>
+        </li>
+
 
 
 
@@ -119,10 +123,6 @@ <h3 id="101" style="margin-top: 40px;">AI 101</h3>
               </td>
             </tr>
 
-
-
-
-
             </tbody>
           </table>
 
@@ -131,32 +131,66 @@ <h3 id="101" style="margin-top: 40px;">AI 101</h3>
         </section>
 
         <section id="validation">
+          <h3>Validation</h3>
+
+          <table class="table mx-auto">
+            <thead>
+              <tr>
+                <th scope="col">Resource</th>
+                <th scope="col">Description</th>
+              </tr>
+            </thead>
+            <tbody>
+
+
+              <tr>
+                <td>
+                  <a target="_blank" rel="noopener noreferrer" href="https://healthaipartnership.org">
+                    health ai partnerships</a>
+                </td>
+                <td>
+                  HAIP empowers health care professionals to use artificial intelligence (AI) effectively, safely, and equitably. The organization includes many different healthcare institutions.
+                </td>
+              </tr>
+
+              <tbody>
+
+
+                <tr>
+                  <td>
+                    <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41591-024-02853-7">
+                      To do no harm — and the most good — with AI in health care</a>
+                  </td>
+                  <td>
+                    Drawing from real-life scenarios and insights shared at the RAISE (Responsible AI for Social and Ethical Healthcare) conference, highlights the critical need for AI in health care (AIH) to primarily benefit patients and address current shortcomings in health care systems such as medical errors and access disparities.
+                  </td>
+                </tr>
+
+                <tr>
+                  <td>
+                    <a target="_blank" rel="noopener noreferrer" href="https://jamanetwork.com/journals/jama/article-abstract/2816582">
+                      The Limits of Clinician Vigilance as an AI Safety Bulwark</a>
+                  </td>
+                  <td>
+
+                    <p>
+                      <b>Clinicians will be expected to review AI outputs as AI is increasingly used in healthcare tasks. Maintaining vigilance is difficult for humans. This article suggests ways to design AI systems to improve clinician vigilance:</b>
+                    </p>
+                    <h5>Key Points</h5>
+
+                    <ul>
+                      <li>Visual cues to highlight uncertain AI outputs</li>
+                      <li>Monitoring clinician behavior to identify automation bias</li>
+                    </ul>
+
+                  </td>
+                </tr>
+
 
-          <h3 id="validation" style="margin-top: 40px;">Validation</h3>
-
-        <table class="table mx-auto">
-          <thead>
-            <tr>
-              <th scope="col">Resource</th>
-              <th scope="col">Description</th>
-            </tr>
-          </thead>
-          <tbody>
-
-            <tr>
-              <td>
-                <a target="_blank" rel="noopener noreferrer" href="https://healthaipartnership.org">
-                  health ai partnerships</a>
-              </td>
-              <td>
-HAIP empowers health care professionals to use artificial intelligence (AI) effectively, safely, and equitably. The organization includes many different healthcare institutions.
-
-            </td>
-
-          </tbody>
-        </table>
 
-      </section>
+            </tbody>
+          </table>
+        </section>
 
 
     <section id="newsletters">
@@ -211,6 +245,48 @@ <h3 id="newsletters" style="margin-top: 40px;">Newsletters</h3>
     </section>
 
 
+    <section id="people">
+      <h3 id="people" style="margin-top: 40px;">People to Follow</h3>
+
+      <table class="table mx-auto">
+        <thead>
+          <tr>
+            <th scope="col">Resource</th>
+            <th scope="col">Description</th>
+          </tr>
+        </thead>
+        <tbody>
+
+          <tr>
+            <td>
+              <a target="_blank" rel="noopener noreferrer" href="https://twitter.com/zakkohane?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor">
+                Zak Kohane, MD, PhD</a>
+            </td>
+            <td> Zak in the granfather of AI in healthcare. He has been doing this since the 80's</td>
+          </tr>
+
+
+          <tr>
+            <td>
+              <a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/in/graham-walker-md/">
+                Graham Walker</a>
+            </td>
+            <td> Graham is an ED doc with consitnetly who posts consistently great content.</td>
+          </tr>
+
+          <tr>
+            <td>
+              <a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/in/sarahgebauer/">
+                Sarah Gebauer, MD</a>
+            </td>
+            <td> Sarah posts excelent content on ML for MDs</td>
+          </tr>
+
+        </tbody>
+      </table>
+
+    </section>
+
   </body>
 
   <footer class="footer mt-auto py-3 ">