Ken  Mueller

Ken Mueller

1591112700

Importance of AI in Healthcare Sector

AI and related advancements are progressively playing the role of a disruptor in business and society. The application of AI is also increasing in the healthcare domain. These advances can possibly change numerous parts of patient care, just as regulatory procedures inside supplier, patient experience, and pathology labs.

There are as of now various researches recommending that AI can proceed just as or better than people at key human services, for example, diagnosing the ailment. Today, algorithms are beating radiologists at spotting harmful tumors. They are directing specialists on how to build companions for expensive clinical preliminaries.

Nonetheless, for an assortment of reasons, we accept that it will be numerous prior years AI replaces people for wide clinical procedure areas. In this article, we portray both the potential that AI offers to mechanize parts of care and a portion of the hindrances to the fast execution of AI in social insurance.

#artificial intelligence tutorials #ai applications in healthcare #ai in healthcare #applications of ai in healthcare #artificial intelligence and healthcare

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Importance of AI in Healthcare Sector
Ken  Mueller

Ken Mueller

1591112700

Importance of AI in Healthcare Sector

AI and related advancements are progressively playing the role of a disruptor in business and society. The application of AI is also increasing in the healthcare domain. These advances can possibly change numerous parts of patient care, just as regulatory procedures inside supplier, patient experience, and pathology labs.

There are as of now various researches recommending that AI can proceed just as or better than people at key human services, for example, diagnosing the ailment. Today, algorithms are beating radiologists at spotting harmful tumors. They are directing specialists on how to build companions for expensive clinical preliminaries.

Nonetheless, for an assortment of reasons, we accept that it will be numerous prior years AI replaces people for wide clinical procedure areas. In this article, we portray both the potential that AI offers to mechanize parts of care and a portion of the hindrances to the fast execution of AI in social insurance.

#artificial intelligence tutorials #ai applications in healthcare #ai in healthcare #applications of ai in healthcare #artificial intelligence and healthcare

Umeng Analytics & Push Flutter Plugins

Umeng Analytics&Push Flutter Plugins(umeng_analytics_push) 

  • Language: English | 中文简体
  • Umeng API: umeng:analytics & umeng:push
  • Tip: From v2.1.0 supported Umeng "Compliance Guide" Android IOS, and made appropriate adjustments to facilitate integration.
  • Note: The following document description shall prevail, do not refer to the settings in the example

Usages

Import

dependencies:
  umeng_analytics_push: ^x.x.x #The latest version is shown above, plugin1.x supports flutter1.x, plugin2.x supports flutter2.x

# Or import through Git (choose one, Git version may be updated more timely)

dependencies:
  umeng_analytics_push:
      git:
        url: https://github.com/zileyuan/umeng_analytics_push.git

Android pretreatment settings (with Kotlin example)

Create a custom FlutterApplication class as the startup class, if the push function is not needed, uemng_message_secret is set to null or ""

package com.demo.umeng.app

import io.flutter.app.FlutterApplication
import io.github.zileyuan.umeng_analytics_push.UmengAnalyticsPushFlutterAndroid

class MyFlutterApplication: FlutterApplication() {
    override fun onCreate() {
        super.onCreate();
        UmengAnalyticsPushFlutterAndroid.androidPreInit(this, "uemng_app_key", "channel", "uemng_message_secret")
    }
}

Modify MainActivity, add Umeng settings

package com.demo.umeng.app

import android.os.Handler
import android.os.Looper
import android.content.Intent
import androidx.annotation.NonNull;
import io.flutter.embedding.android.FlutterActivity
import io.flutter.embedding.engine.FlutterEngine
import io.flutter.plugins.GeneratedPluginRegistrant
import io.github.zileyuan.umeng_analytics_push.UmengAnalyticsPushFlutterAndroid
import io.github.zileyuan.umeng_analytics_push.UmengAnalyticsPushPlugin

class MainActivity: FlutterActivity() {
    var handler: Handler = Handler(Looper.myLooper())

    override fun configureFlutterEngine(@NonNull flutterEngine: FlutterEngine) {
        GeneratedPluginRegistrant.registerWith(flutterEngine);
    }

    override fun onNewIntent(intent: Intent) {
        // Actively update and save the intent every time you go back to the front desk, and then you can get the latest intent
        setIntent(intent);
        super.onNewIntent(intent);
    }

    override fun onResume() {
        super.onResume()
        UmengAnalyticsPushFlutterAndroid.androidOnResume(this)
        if (getIntent().getExtras() != null) {
            var message = getIntent().getExtras().getString("message")
            if (message != null && message != "") {
                // To start the interface, wait for the engine to load, and send it to the interface with a delay of 5 seconds
                handler.postDelayed(object : Runnable {
                    override fun run() {
                        UmengAnalyticsPushPlugin.eventSink.success(message)
                    }
                }, 5000)
            }
        }
    }

    override fun onPause() {
        super.onPause()
        UmengAnalyticsPushFlutterAndroid.androidOnPause(this)
    }
}

Modify the AndroidManifest.xml file

<application
  android:name="com.demo.umeng.app.MyFlutterApplication">
</application>

Add the vendor push channel, see the official documentation for details umeng:push:vendor

Modify MyFlutterApplication

package com.demo.umeng.app

import io.flutter.app.FlutterApplication
import io.github.zileyuan.umeng_analytics_push.UmengAnalyticsPushFlutterAndroid

class MyFlutterApplication: FlutterApplication() {
    override fun onCreate() {
        super.onCreate();
        UmengAnalyticsPushFlutterAndroid.androidInit(this, "uemng_app_key", "channel", "uemng_message_secret")
        // Register Xiaomi Push (optional)
        UmengAnalyticsPushFlutterAndroid.registerXiaomi(this, "xiaomi_app_id", "xiaomi_app_key")
        // Register Huawei Push (optional, need add other infomation in AndroidManifest.xml)
        UmengAnalyticsPushFlutterAndroid.registerHuawei(this)
        // Register Oppo Push (optional)
        UmengAnalyticsPushFlutterAndroid.registerOppo(this, "oppo_app_key", "oppo_app_secret")
        // Register Vivo Push (optional, need add other infomation in AndroidManifest.xml)
        UmengAnalyticsPushFlutterAndroid.registerVivo(this)
        // Register Meizu Push (optional)
        UmengAnalyticsPushFlutterAndroid.registerMeizu(this, "meizu_app_id", "meizu_app_key")
    }
}

Modify the AndroidManifest.xml, fill in the real id or key

<application
  android:name="com.demo.umeng.app.MyFlutterApplication">
    <!-- Vivo push channel start (optional) -->
    <meta-data
        android:name="com.vivo.push.api_key"
        android:value="vivo_api_key" />
    <meta-data
        android:name="com.vivo.push.app_id"
        android:value="vivo_app_id" />
    <!-- Vivo push channel end-->

    <!-- Huawei push channel start (optional) -->
    <meta-data
        android:name="com.huawei.hms.client.appid"
        android:value="appid=huawei_app_id" />
    <!-- Huawei push channel end-->
</application>

Use the following parameters to send, accept offline messages

"mipush": true
"mi_activity": "io.github.zileyuan.umeng_analytics_push.OfflineNotifyClickActivity"  

If the App needs to use proguard for obfuscated packaging, please add the following obfuscated code

-dontwarn com.umeng.**
-dontwarn com.taobao.**
-dontwarn anet.channel.**
-dontwarn anetwork.channel.**
-dontwarn org.android.**
-dontwarn org.apache.thrift.**
-dontwarn com.xiaomi.**
-dontwarn com.huawei.**
-dontwarn com.meizu.**

-keepattributes *Annotation*

-keep class com.taobao.** {*;}
-keep class org.android.** {*;}
-keep class anet.channel.** {*;}
-keep class com.umeng.** {*;}
-keep class com.xiaomi.** {*;}
-keep class com.huawei.** {*;}
-keep class com.meizu.** {*;}
-keep class org.apache.thrift.** {*;}

-keep class com.alibaba.sdk.android.** {*;}
-keep class com.ut.** {*;}
-keep class com.ta.** {*;}

-keep public class **.R$* {
    public static final int *;
}

IOS pretreatment settings (with Swift example)

Modify AppDelegate.swift file

import UIKit
import Flutter

@UIApplicationMain
@objc class AppDelegate: FlutterAppDelegate {
    override func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
        GeneratedPluginRegistrant.register(with: self)
        UmengAnalyticsPushFlutterIos.iosPreInit(launchOptions, appkey:"uemng_app_key", channel:"appstore");
        return super.application(application, didFinishLaunchingWithOptions: launchOptions)
    }

    // If you need to handle Push clicks, use the following code
    @available(iOS 10.0, *)
    override func userNotificationCenter(_ center: UNUserNotificationCenter, didReceive response: UNNotificationResponse, withCompletionHandler completionHandler: @escaping () -> Void) {
        let userInfo = response.notification.request.content.userInfo
        UmengAnalyticsPushFlutterIos.handleMessagePush(userInfo)
        completionHandler()
    }
}

Modify Runner-Bridging-Header.h file

#import "GeneratedPluginRegistrant.h"
#import <UMCommon/UMCommon.h>
#import <UMCommon/MobClick.h>
#import <UMPush/UMessage.h>
#import <UserNotifications/UserNotifications.h>
#import <umeng_analytics_push/UmengAnalyticsPushIos.h>

Use in Flutter

Initialize Umeng, call it after agreeing to the "Privacy Policy" according to the "Compliance Guide", two parameter switches, one is log, the other is push

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

UmengAnalyticsPush.initUmeng(false, true);

Click Push response

import 'package:umeng_analytics_push/umeng_analytics_push.dart';
import 'package:umeng_analytics_push/message_model.dart';

UmengAnalyticsPush.addPushMessageCallback((MessageModel message) {
  print("UmengAnalyticsPush Message ======> $message");
});

Operation Alias

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

UmengAnalyticsPush.addAlias('1001', 'jobcode');
UmengAnalyticsPush.setAlias('1002', 'jobcode');
UmengAnalyticsPush.deleteAlias('1002', 'jobcode');

Operation Tags

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

UmengAnalyticsPush.addTags('manager');
UmengAnalyticsPush.deleteTags('manager');

Page buried point operation

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

UmengAnalyticsPush.pageStart('memberPage');
UmengAnalyticsPush.pageEnd('memberPage');

Custom event

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

UmengAnalyticsPush.event('customEvent', '1000');

Use this package as a library

Depend on it

Run this command:

With Flutter:

 $ flutter pub add umeng_analytics_push

This will add a line like this to your package's pubspec.yaml (and run an implicit flutter pub get):

dependencies:
  umeng_analytics_push: ^2.1.3

Alternatively, your editor might support or flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:umeng_analytics_push/umeng_analytics_push.dart';

example/lib/main.dart

import 'package:flutter/material.dart';

void main() => runApp(MyApp());

class MyApp extends StatefulWidget {
  @override
  _MyAppState createState() => _MyAppState();
}

class _MyAppState extends State<MyApp> {

  @override
  void initState() {
    super.initState();
  }

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(
          title: const Text('Plugin example app'),
        ),
        body: Center(
        ),
      ),
    );
  }
} 

Download Details:

Author: zileyuan

Source Code: https://github.com/zileyuan/umeng_analytics_push

#flutter #analytics 

Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Complete Guide to Custom Healthcare App Development - TopDevelopers.co

A complete guide to healthcare app development with steps to develop the best medical apps. Here’s how to ace your healthcare business using mobile technology.
The covid-19 pandemic has thrown a lot of limelight on healthcare, and people are taking hygiene more seriously than ever. In times like these when different kinds of health risks are being imposed on the human race, it has become critical to stay as hygienic as possible. Thanks to the advancements in technology just like many other industrial sectors, it is now also shaping the future of healthcare by providing services at your fingertips.

#healthcare app development service providers #guide to custom healthcare app development #top healthcare app development companies #types of healthcare mobile applications #cost to develop healthcare application #healthcare sector

Alayna  Rippin

Alayna Rippin

1597622400

The Trending Healthcare App Features for 2020

The recent technological trend in the healthcare industry has brought a virtual doctor into many of our pockets. Be it a serious health condition or a need to track our fitness level, there are thousands of mHealth apps for most of the healthcare use cases.

In 2020, the health-tech industry offers many mHealth apps ranging from heart rate monitoring to nutrition and fitness apps. Undoubtedly, there will be variation in the app functionality according to the target market, customer base and the purpose.

Use-Case specific app features

There are thousands of healthcare mobile apps available in the market and depending on the use-cases, they will incorporate specific features that help them serve the purpose. Following are some of the most trending app features.

Digital Prescription and Reports

Almost every hospital or pharmacy-related healthcare app should have the functionality to handle digital prescriptions and reporting. Misplacing or losing medical prescriptions and reports is very common for the patients. It even becomes a hassle for the healthcare institutions or doctors to manage and access the patient files. This is where the digital prescription feature comes handy for both the patients and doctors.

This feature should also incorporate the functionality to download the reports and prescription information in a documented format. It allows the patients to manage their lifetime medical history in one place. This feature is very crucial to speed up the medical treatment process.

Wearable Connectivity

Wearables are the most trending discussion in the health tech space. Up until now, this feature is most commonly used by fitness tracking apps. But as the healthcare industry has now paced up the technology adoption, healthcare providers and medical practitioners have started to trust the wearable technologies to monitor their patient health continuously.

In 2020, wearables do not just mean some gadgets like Fitbits. There are many clinical-grade IoMT (Internet of Medical Things) devices used by the healthcare industry that are used in a form of belts, chest straps etc.

The wearable connectivity feature allows the healthcare apps to record the user’s data, which can be shared with the doctors. The doctors can provide a better consultancy if they have access to their patient’s all-time health status.

On-Demand Medicine

Similar to amazon for x apps, this on-demand app feature is focused on making the medicines accessible anytime, anywhere. Using this feature, the patients will be able to refill their stock of medicine without having to visit the pharmacy.

The feature would require the functionality to allow admin to list out the pharmacies in the locality, so that the users can order from the nearest one. To make this feature more effective, you also would need to add an online payment feature within the app.

#healthcare #health-tech #health-tech-and-cyber-security #healthcare-apps #healthcare-application #healthcare-mobile-apps #healthcare-trends-in-2020 #top-healthcare-trends